Errors on Python 3.9 about who-killed-laura-palmer HOT 8 OPEN

Thanks for your reply. Please see attached. It's very long, not sure I captured it all but I think the log output repeats itself continuously.

``` If you don't know where the object of type `builtins.function` is coming from, try looking at the hash chain below for an object that you do recognize, then pass that to `hash_funcs` instead: ``` Object of type builtins.function: <function start_haystack at 0x00000230CD078E50> ``` Please see the `hash_funcs` [documentation] (https://docs.streamlit.io/library/advanced-features/caching#the-hash_funcs-parameter) for more details. Traceback (most recent call last): File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 361, in to_bytes b = b"%s:%s" % (tname, self._to_bytes(obj, context)) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 627, in _to_bytes if self._file_should_be_hashed(code.co_filename): File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 403, in _file_should_be_hashed filepath, self._get_main_script_directory() File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 715, in _get_main_script_directory abs_main_path = pathlib.Path(__main__.__file__).resolve() AttributeError: module '__main__' has no attribute '__file__' During handling of the above exception, another exception occurred: Traceback (most recent call last): File "<string>", line 1, in <module> File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 116, in spawn_main exitcode = _main(fd, parent_sentinel) File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 125, in _main prepare(preparation_data) File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 236, in prepare 2022-11-10 14:34:23.839 Warning: to view a Streamlit app on a browser, use Streamlit in a file and run it with the following command: streamlit run [FILE_NAME] [ARGUMENTS] _fixup_main_from_path(data['init_main_from_path']) File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path main_content = runpy.run_path(main_path, File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\runpy.py", line 268, in run_path return _run_module_code(code, init_globals, run_name, File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\runpy.py", line 97, in _run_module_code _run_code(code, mod_globals, init_globals, File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\runpy.py", line 87, in _run_code exec(code, run_globals) File "C:\GitHub\Streamlit\who-killed-laura-palmer\app.py", line 12, in <module> from app_utils.backend_utils import load_questions, query File "C:\GitHub\Streamlit\who-killed-laura-palmer\.\app_utils\backend_utils.py", line 37, in <module> pipe = start_haystack() File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\caching.py", line 623, in wrapped_func return get_or_create_cached_value() File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\caching.py", line 548, in get_or_create_cached_value cache_key = _hash_func(non_optional_func, hash_funcs) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\caching.py", line 674, in _hash_func update_hash( File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 109, in update_hash ch.update(hasher, val, context) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 386, in update b = self.to_bytes(obj, context) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 375, in to_bytes raise InternalHashError(e, obj) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 361, in to_bytes b = b"%s:%s" % (tname, self._to_bytes(obj, context)) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 627, in _to_bytes if self._file_should_be_hashed(code.co_filename): File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 403, in _file_should_be_hashed filepath, self._get_main_script_directory() File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 715, in _get_main_script_directory abs_main_path = pathlib.Path(__main__.__file__).resolve() streamlit.runtime.legacy_caching.hashing.InternalHashError: module '__main__' has no attribute '__file__' While caching the body of `start_haystack()`, Streamlit encountered an object of type `builtins.function`, which it does not know how to hash. **In this specific case, it's very likely you found a Streamlit bug so please [file a bug report here.] (https://github.com/streamlit/streamlit/issues/new/choose)** In the meantime, you can try bypassing this error by registering a custom hash function via the `hash_funcs` keyword in @st.cache(). For example: ``` @st.cache(hash_funcs={builtins.function: my_hash_func}) def my_func(...): ... ``` If you don't know where the object of type `builtins.function` is coming from, try looking at the hash chain below for an object that you do recognize, then pass that to `hash_funcs` instead: ``` Object of type builtins.function: <function start_haystack at 0x0000026CEBCF8E50> ``` Please see the `hash_funcs` [documentation] (https://docs.streamlit.io/library/advanced-features/caching#the-hash_funcs-parameter) for more details. 2022-11-10 14:34:24.189 Warning: to view a Streamlit app on a browser, use Streamlit in a file and run it with the following command: streamlit run [FILE_NAME] [ARGUMENTS] Traceback (most recent call last): File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 361, in to_bytes b = b"%s:%s" % (tname, self._to_bytes(obj, context)) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 627, in _to_bytes if self._file_should_be_hashed(code.co_filename): File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 403, in _file_should_be_hashed filepath, self._get_main_script_directory() File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 715, in _get_main_script_directory abs_main_path = pathlib.Path(__main__.__file__).resolve() AttributeError: module '__main__' has no attribute '__file__' During handling of the above exception, another exception occurred: Traceback (most recent call last): File "<string>", line 1, in <module> File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 116, in spawn_main exitcode = _main(fd, parent_sentinel) File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 125, in _main prepare(preparation_data) File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 236, in prepare _fixup_main_from_path(data['init_main_from_path']) File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path main_content = runpy.run_path(main_path, File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\runpy.py", line 268, in run_path Traceback (most recent call last): File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 361, in to_bytes return _run_module_code(code, init_globals, run_name, b = b"%s:%s" % (tname, self._to_bytes(obj, context)) File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\runpy.py", line 97, in _run_module_code File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 627, in _to_bytes if self._file_should_be_hashed(code.co_filename): File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 403, in _file_should_be_hashed filepath, self._get_main_script_directory() File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 715, in _get_main_script_directory abs_main_path = pathlib.Path(__main__.__file__).resolve() AttributeError: module '__main__' has no attribute '__file__' During handling of the above exception, another exception occurred: Traceback (most recent call last): File "<string>", line 1, in <module> File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 116, in spawn_main exitcode = _main(fd, parent_sentinel) File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 125, in _main Traceback (most recent call last): File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 361, in to_bytes prepare(preparation_data) File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 236, in prepare b = b"%s:%s" % (tname, self._to_bytes(obj, context)) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 627, in _to_bytes _fixup_main_from_path(data['init_main_from_path']) File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path if self._file_should_be_hashed(code.co_filename): main_content = runpy.run_path(main_path, _run_code(code, mod_globals, init_globals, File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 403, in _file_should_be_hashed File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\runpy.py", line 268, in run_path File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\runpy.py", line 87, in _run_code filepath, self._get_main_script_directory() return _run_module_code(code, init_globals, run_name, File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 715, in _get_main_script_directory File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\runpy.py", line 97, in _run_module_code exec(code, run_globals) File "C:\GitHub\Streamlit\who-killed-laura-palmer\app.py", line 12, in <module> abs_main_path = pathlib.Path(__main__.__file__).resolve() _run_code(code, mod_globals, init_globals, AttributeError: module '__main__' has no attribute '__file__' File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\runpy.py", line 87, in _run_code During handling of the above exception, another exception occurred: from app_utils.backend_utils import load_questions, query exec(code, run_globals) Traceback (most recent call last): File "C:\GitHub\Streamlit\who-killed-laura-palmer\.\app_utils\backend_utils.py", line 37, in <module> File "C:\GitHub\Streamlit\who-killed-laura-palmer\app.py", line 12, in <module> File "<string>", line 1, in <module> pipe = start_haystack() File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\caching.py", line 623, in wrapped_func from app_utils.backend_utils import load_questions, query return get_or_create_cached_value() File "C:\GitHub\Streamlit\who-killed-laura-palmer\.\app_utils\backend_utils.py", line 37, in <module> File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\caching.py", line 548, in get_or_create_cached_value File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 116, in spawn_main pipe = start_haystack() cache_key = _hash_func(non_optional_func, hash_funcs) exitcode = _main(fd, parent_sentinel) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\caching.py", line 623, in wrapped_func File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\caching.py", line 674, in _hash_func File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 125, in _main update_hash( return get_or_create_cached_value() File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 109, in update_hash prepare(preparation_data) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\caching.py", line 548, in get_or_create_cached_value ch.update(hasher, val, context) File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 236, in prepare File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 386, in update cache_key = _hash_func(non_optional_func, hash_funcs) _fixup_main_from_path(data['init_main_from_path']) b = self.to_bytes(obj, context) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\caching.py", line 674, in _hash_func File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 375, in to_bytes main_content = runpy.run_path(main_path, update_hash( File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\runpy.py", line 268, in run_path File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 109, in update_hash raise InternalHashError(e, obj) ch.update(hasher, val, context) return _run_module_code(code, init_globals, run_name, File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 361, in to_bytes File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 386, in update File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\runpy.py", line 97, in _run_module_code _run_code(code, mod_globals, init_globals, b = b"%s:%s" % (tname, self._to_bytes(obj, context)) File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\runpy.py", line 87, in _run_code b = self.to_bytes(obj, context) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 627, in _to_bytes File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 375, in to_bytes exec(code, run_globals) if self._file_should_be_hashed(code.co_filename): File "C:\GitHub\Streamlit\who-killed-laura-palmer\app.py", line 12, in <module> File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 403, in _file_should_be_hashed raise InternalHashError(e, obj) from app_utils.backend_utils import load_questions, query File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 361, in to_bytes File "C:\GitHub\Streamlit\who-killed-laura-palmer\.\app_utils\backend_utils.py", line 37, in <module> filepath, self._get_main_script_directory() b = b"%s:%s" % (tname, self._to_bytes(obj, context)) pipe = start_haystack() File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 715, in _get_main_script_directory File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 627, in _to_bytes File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\caching.py", line 623, in wrapped_func abs_main_path = pathlib.Path(__main__.__file__).resolve() if self._file_should_be_hashed(code.co_filename): streamlit.runtime.legacy_caching.hashing.InternalHashError: module '__main__' has no attribute '__file__' While caching the body of `start_haystack()`, Streamlit encountered an object of type `builtins.function`, which it does not know how to hash. **In this specific case, it's very likely you found a Streamlit bug so please [file a bug report here.] (https://github.com/streamlit/streamlit/issues/new/choose)** In the meantime, you can try bypassing this error by registering a custom hash function via the `hash_funcs` keyword in @st.cache(). For example: ``` @st.cache(hash_funcs={builtins.function: my_hash_func}) def my_func(...): ... ``` If you don't know where the object of type `builtins.function` is coming from, try looking at the hash chain below for an object that you do recognize, then pass that to `hash_funcs` instead: ``` Object of type builtins.function: <function start_haystack at 0x00000202CEF18E50> ``` Please see the `hash_funcs` [documentation] (https://docs.streamlit.io/library/advanced-features/caching#the-hash_funcs-parameter) for more details. File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 403, in _file_should_be_hashed return get_or_create_cached_value() filepath, self._get_main_script_directory() File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\caching.py", line 548, in get_or_create_cached_value File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 715, in _get_main_script_directory cache_key = _hash_func(non_optional_func, hash_funcs) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\caching.py", line 674, in _hash_func abs_main_path = pathlib.Path(__main__.__file__).resolve() update_hash( streamlit.runtime.legacy_caching.hashing.InternalHashError: module '__main__' has no attribute '__file__' While caching the body of `start_haystack()`, Streamlit encountered an object of type `builtins.function`, which it does not know how to hash. **In this specific case, it's very likely you found a Streamlit bug so please [file a bug report here.] (https://github.com/streamlit/streamlit/issues/new/choose)** In the meantime, you can try bypassing this error by registering a custom hash function via the `hash_funcs` keyword in @st.cache(). For example: ``` @st.cache(hash_funcs={builtins.function: my_hash_func}) def my_func(...): ... ``` If you don't know where the object of type `builtins.function` is coming from, try looking at the hash chain below for an object that you do recognize, then pass that to `hash_funcs` instead: ``` Object of type builtins.function: <function start_haystack at 0x000002B9EE668E50> ``` Please see the `hash_funcs` [documentation] (https://docs.streamlit.io/library/advanced-features/caching#the-hash_funcs-parameter) for more details. File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 109, in update_hash ch.update(hasher, val, context) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 386, in update b = self.to_bytes(obj, context) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 375, in to_bytes raise InternalHashError(e, obj) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 361, in to_bytes b = b"%s:%s" % (tname, self._to_bytes(obj, context)) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 627, in _to_bytes if self._file_should_be_hashed(code.co_filename): File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 403, in _file_should_be_hashed filepath, self._get_main_script_directory() File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 715, in _get_main_script_directory abs_main_path = pathlib.Path(__main__.__file__).resolve() streamlit.runtime.legacy_caching.hashing.InternalHashError: module '__main__' has no attribute '__file__' While caching the body of `start_haystack()`, Streamlit encountered an object of type `builtins.function`, which it does not know how to hash. **In this specific case, it's very likely you found a Streamlit bug so please [file a bug report here.] (https://github.com/streamlit/streamlit/issues/new/choose)** In the meantime, you can try bypassing this error by registering a custom hash function via the `hash_funcs` keyword in @st.cache(). For example: ``` @st.cache(hash_funcs={builtins.function: my_hash_func}) def my_func(...): ... ``` If you don't know where the object of type `builtins.function` is coming from, try looking at the hash chain below for an object that you do recognize, then pass that to `hash_funcs` instead: ``` Object of type builtins.function: <function start_haystack at 0x0000021442138E50> ``` Please see the `hash_funcs` [documentation] (https://docs.streamlit.io/library/advanced-features/caching#the-hash_funcs-parameter) for more details. 2022-11-10 14:34:27.050 Warning: to view a Streamlit app on a browser, use Streamlit in a file and run it with the following command: streamlit run [FILE_NAME] [ARGUMENTS] Traceback (most recent call last): File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 361, in to_bytes b = b"%s:%s" % (tname, self._to_bytes(obj, context)) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 627, in _to_bytes if self._file_should_be_hashed(code.co_filename): File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 403, in _file_should_be_hashed filepath, self._get_main_script_directory() File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 715, in _get_main_script_directory abs_main_path = pathlib.Path(__main__.__file__).resolve() AttributeError: module '__main__' has no attribute '__file__' During handling of the above exception, another exception occurred: Traceback (most recent call last): File "<string>", line 1, in <module> File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 116, in spawn_main exitcode = _main(fd, parent_sentinel) File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 125, in _main prepare(preparation_data) File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 236, in prepare _fixup_main_from_path(data['init_main_from_path']) File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path main_content = runpy.run_path(main_path, File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\runpy.py", line 268, in run_path return _run_module_code(code, init_globals, run_name, File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\runpy.py", line 97, in _run_module_code _run_code(code, mod_globals, init_globals, File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\runpy.py", line 87, in _run_code exec(code, run_globals) File "C:\GitHub\Streamlit\who-killed-laura-palmer\app.py", line 12, in <module> from app_utils.backend_utils import load_questions, query File "C:\GitHub\Streamlit\who-killed-laura-palmer\.\app_utils\backend_utils.py", line 37, in <module> pipe = start_haystack() File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\caching.py", line 623, in wrapped_func return get_or_create_cached_value() File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\caching.py", line 548, in get_or_create_cached_value cache_key = _hash_func(non_optional_func, hash_funcs) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\caching.py", line 674, in _hash_func update_hash( File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 109, in update_hash ch.update(hasher, val, context) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 386, in update b = self.to_bytes(obj, context) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 375, in to_bytes raise InternalHashError(e, obj) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 361, in to_bytes b = b"%s:%s" % (tname, self._to_bytes(obj, context)) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 627, in _to_bytes if self._file_should_be_hashed(code.co_filename): File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 403, in _file_should_be_hashed filepath, self._get_main_script_directory() File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 715, in _get_main_script_directory abs_main_path = pathlib.Path(__main__.__file__).resolve() streamlit.runtime.legacy_caching.hashing.InternalHashError: module '__main__' has no attribute '__file__' While caching the body of `start_haystack()`, Streamlit encountered an object of type `builtins.function`, which it does not know how to hash. **In this specific case, it's very likely you found a Streamlit bug so please [file a bug report here.] (https://github.com/streamlit/streamlit/issues/new/choose)** In the meantime, you can try bypassing this error by registering a custom hash function via the `hash_funcs` keyword in @st.cache(). For example: ``` @st.cache(hash_funcs={builtins.function: my_hash_func}) def my_func(...): ... ``` If you don't know where the object of type `builtins.function` is coming from, try looking at the hash chain below for an object that you do recognize, then pass that to `hash_funcs` instead: ``` Object of type builtins.function: <function start_haystack at 0x000002C87D558E50> ``` Please see the `hash_funcs` [documentation] (https://docs.streamlit.io/library/advanced-features/caching#the-hash_funcs-parameter) for more details. 2022-11-10 14:34:49.150 INFO haystack.document_stores.base: Numba not found, replacing njit() with no-op implementation. Enable it with 'pip install numba'. 2022-11-10 14:34:49.818 INFO haystack.document_stores.base: Numba not found, replacing njit() with no-op implementation. Enable it with 'pip install numba'. 2022-11-10 14:34:49.885 INFO haystack.document_stores.base: Numba not found, replacing njit() with no-op implementation. Enable it with 'pip install numba'. 2022-11-10 14:34:49.960 INFO haystack.document_stores.base: Numba not found, replacing njit() with no-op implementation. Enable it with 'pip install numba'. 2022-11-10 14:34:50.373 INFO faiss.loader: Loading faiss with AVX2 support. 2022-11-10 14:34:50.412 INFO faiss.loader: Could not load library with AVX2 support due to: ModuleNotFoundError("No module named 'faiss.swigfaiss_avx2'") 2022-11-10 14:34:50.423 INFO faiss.loader: Loading faiss. 2022-11-10 14:34:50.507 INFO faiss.loader: Successfully loaded faiss. 2022-11-10 14:34:50.920 INFO haystack.document_stores.base: Numba not found, replacing njit() with no-op implementation. Enable it with 'pip install numba'. 2022-11-10 14:34:51.053 INFO faiss.loader: Loading faiss with AVX2 support. 2022-11-10 14:34:51.064 INFO faiss.loader: Could not load library with AVX2 support due to: ModuleNotFoundError("No module named 'faiss.swigfaiss_avx2'") 2022-11-10 14:34:51.081 INFO faiss.loader: Loading faiss. 2022-11-10 14:34:51.151 INFO faiss.loader: Successfully loaded faiss. 2022-11-10 14:34:51.227 INFO faiss.loader: Loading faiss with AVX2 support. 2022-11-10 14:34:51.231 INFO faiss.loader: Could not load library with AVX2 support due to: ModuleNotFoundError("No module named 'faiss.swigfaiss_avx2'") 2022-11-10 14:34:51.235 INFO faiss.loader: Loading faiss. 2022-11-10 14:34:51.275 INFO faiss.loader: Loading faiss with AVX2 support. 2022-11-10 14:34:51.288 INFO faiss.loader: Could not load library with AVX2 support due to: ModuleNotFoundError("No module named 'faiss.swigfaiss_avx2'") 2022-11-10 14:34:51.290 INFO faiss.loader: Loading faiss. 2022-11-10 14:34:51.304 INFO faiss.loader: Successfully loaded faiss. 2022-11-10 14:34:51.360 INFO faiss.loader: Successfully loaded faiss. 2022-11-10 14:34:52.411 INFO faiss.loader: Loading faiss with AVX2 support. 2022-11-10 14:34:52.416 INFO faiss.loader: Could not load library with AVX2 support due to: ModuleNotFoundError("No module named 'faiss.swigfaiss_avx2'") 2022-11-10 14:34:52.420 INFO faiss.loader: Loading faiss. 2022-11-10 14:34:52.530 INFO faiss.loader: Successfully loaded faiss. 2022-11-10 14:34:54.465 INFO haystack.modeling.model.optimization: apex not found, won't use it. See https://nvidia.github.io/apex/ 2022-11-10 14:34:54.930 ERROR root: Failed to import 'magic' (from 'python-magic' and 'python-magic-bin' on Windows). FileTypeClassifier will not perform mimetype detection on extensionless files. Please make sure the necessary OS libraries are installed if you need this functionality. 2022-11-10 14:34:55.273 INFO haystack.modeling.model.optimization: apex not found, won't use it. See https://nvidia.github.io/apex/ 2022-11-10 14:34:55.408 INFO haystack.modeling.model.optimization: apex not found, won't use it. See https://nvidia.github.io/apex/ 2022-11-10 14:34:55.435 INFO haystack.document_stores.base: Numba not found, replacing njit() with no-op implementation. Enable it with 'pip install numba'. 2022-11-10 14:34:55.780 ERROR root: Failed to import 'magic' (from 'python-magic' and 'python-magic-bin' on Windows). FileTypeClassifier will not perform mimetype detection on extensionless files. Please make sure the necessary OS libraries are installed if you need this functionality. 2022-11-10 14:34:55.897 ERROR root: Failed to import 'magic' (from 'python-magic' and 'python-magic-bin' on Windows). FileTypeClassifier will not perform mimetype detection on extensionless files. Please make sure the necessary OS libraries are installed if you need this functionality. 2022-11-10 14:34:56.340 INFO haystack.modeling.model.optimization: apex not found, won't use it. See https://nvidia.github.io/apex/ 2022-11-10 14:34:56.857 INFO haystack.modeling.model.optimization: apex not found, won't use it. See https://nvidia.github.io/apex/ 2022-11-10 14:34:57.049 INFO faiss.loader: Loading faiss with AVX2 support. 2022-11-10 14:34:57.052 INFO faiss.loader: Could not load library with AVX2 support due to: ModuleNotFoundError("No module named 'faiss.swigfaiss_avx2'") 2022-11-10 14:34:57.057 INFO faiss.loader: Loading faiss. 2022-11-10 14:34:57.151 INFO faiss.loader: Successfully loaded faiss. 2022-11-10 14:34:57.161 ERROR root: Failed to import 'magic' (from 'python-magic' and 'python-magic-bin' on Windows). FileTypeClassifier will not perform mimetype detection on extensionless files. Please make sure the necessary OS libraries are installed if you need this functionality. 2022-11-10 14:34:57.343 ERROR root: Failed to import 'magic' (from 'python-magic' and 'python-magic-bin' on Windows). FileTypeClassifier will not perform mimetype detection on extensionless files. Please make sure the necessary OS libraries are installed if you need this functionality. 2022-11-10 14:34:58.569 INFO haystack.document_stores.base: Numba not found, replacing njit() with no-op implementation. Enable it with 'pip install numba'. 2022-11-10 14:34:59.774 INFO faiss.loader: Loading faiss with AVX2 support. 2022-11-10 14:34:59.777 INFO faiss.loader: Could not load library with AVX2 support due to: ModuleNotFoundError("No module named 'faiss.swigfaiss_avx2'") 2022-11-10 14:34:59.778 INFO faiss.loader: Loading faiss. 2022-11-10 14:34:59.888 INFO faiss.loader: Successfully loaded faiss. 2022-11-10 14:35:00.685 INFO haystack.modeling.model.optimization: apex not found, won't use it. See https://nvidia.github.io/apex/ 2022-11-10 14:35:01.097 ERROR root: Failed to import 'magic' (from 'python-magic' and 'python-magic-bin' on Windows). FileTypeClassifier will not perform mimetype detection on extensionless files. Please make sure the necessary OS libraries are installed if you need this functionality. 2022-11-10 14:35:03.136 INFO haystack.modeling.model.optimization: apex not found, won't use it. See https://nvidia.github.io/apex/ 2022-11-10 14:35:03.552 ERROR root: Failed to import 'magic' (from 'python-magic' and 'python-magic-bin' on Windows). FileTypeClassifier will not perform mimetype detection on extensionless files. Please make sure the necessary OS libraries are installed if you need this functionality. 2022-11-10 14:35:03.602 Warning: to view a Streamlit app on a browser, use Streamlit in a file and run it with the following command: streamlit run [FILE_NAME] [ARGUMENTS] 2022-11-10 14:35:04.967 Warning: to view a Streamlit app on a browser, use Streamlit in a file and run it with the following command: streamlit run [FILE_NAME] [ARGUMENTS] Traceback (most recent call last): File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 361, in to_bytes b = b"%s:%s" % (tname, self._to_bytes(obj, context)) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 627, in _to_bytes if self._file_should_be_hashed(code.co_filename): File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 403, in _file_should_be_hashed 2022-11-10 14:35:05.046 Warning: to view a Streamlit app on a browser, use Streamlit in a file and run it with the following command: streamlit run [FILE_NAME] [ARGUMENTS] filepath, self._get_main_script_directory() File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 715, in _get_main_script_directory abs_main_path = pathlib.Path(__main__.__file__).resolve() AttributeError: module '__main__' has no attribute '__file__' During handling of the above exception, another exception occurred: Traceback (most recent call last): File "<string>", line 1, in <module> File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 116, in spawn_main exitcode = _main(fd, parent_sentinel) File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 125, in _main prepare(preparation_data) File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 236, in prepare _fixup_main_from_path(data['init_main_from_path']) File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path main_content = runpy.run_path(main_path, File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\runpy.py", line 268, in run_path return _run_module_code(code, init_globals, run_name, File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\runpy.py", line 97, in _run_module_code _run_code(code, mod_globals, init_globals, File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\runpy.py", line 87, in _run_code exec(code, run_globals) File "C:\GitHub\Streamlit\who-killed-laura-palmer\app.py", line 12, in <module> from app_utils.backend_utils import load_questions, query File "C:\GitHub\Streamlit\who-killed-laura-palmer\.\app_utils\backend_utils.py", line 37, in <module> pipe = start_haystack() File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\caching.py", line 623, in wrapped_func return get_or_create_cached_value() File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\caching.py", line 548, in get_or_create_cached_value cache_key = _hash_func(non_optional_func, hash_funcs) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\caching.py", line 674, in _hash_func update_hash( File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 109, in update_hash ch.update(hasher, val, context) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 386, in update b = self.to_bytes(obj, context) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 375, in to_bytes raise InternalHashError(e, obj) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 361, in to_bytes b = b"%s:%s" % (tname, self._to_bytes(obj, context)) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 627, in _to_bytes if self._file_should_be_hashed(code.co_filename): File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 403, in _file_should_be_hashed filepath, self._get_main_script_directory() File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 715, in _get_main_script_directory abs_main_path = pathlib.Path(__main__.__file__).resolve() streamlit.runtime.legacy_caching.hashing.InternalHashError: module '__main__' has no attribute '__file__' While caching the body of `start_haystack()`, Streamlit encountered an object of type `builtins.function`, which it does not know how to hash. **In this specific case, it's very likely you found a Streamlit bug so please [file a bug report here.] (https://github.com/streamlit/streamlit/issues/new/choose)** In the meantime, you can try bypassing this error by registering a custom hash function via the `hash_funcs` keyword in @st.cache(). For example: ``` @st.cache(hash_funcs={builtins.function: my_hash_func}) def my_func(...): ... ``` If you don't know where the object of type `builtins.function` is coming from, try looking at the hash chain below for an object that you do recognize, then pass that to `hash_funcs` instead: ``` Object of type builtins.function: <function start_haystack at 0x000001EEC8405E50> ``` Please see the `hash_funcs` [documentation] (https://docs.streamlit.io/library/advanced-features/caching#the-hash_funcs-parameter) for more details. Traceback (most recent call last): File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 361, in to_bytes b = b"%s:%s" % (tname, self._to_bytes(obj, context)) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 627, in _to_bytes if self._file_should_be_hashed(code.co_filename): File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 403, in _file_should_be_hashed filepath, self._get_main_script_directory() File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 715, in _get_main_script_directory abs_main_path = pathlib.Path(__main__.__file__).resolve() AttributeError: module '__main__' has no attribute '__file__' During handling of the above exception, another exception occurred: Traceback (most recent call last): File "<string>", line 1, in <module> File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 116, in spawn_main exitcode = _main(fd, parent_sentinel) File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 125, in _main prepare(preparation_data) File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 236, in prepare _fixup_main_from_path(data['init_main_from_path']) File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path main_content = runpy.run_path(main_path, File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\runpy.py", line 268, in run_path return _run_module_code(code, init_globals, run_name, File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\runpy.py", line 97, in _run_module_code _run_code(code, mod_globals, init_globals, Traceback (most recent call last): File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\runpy.py", line 87, in _run_code File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 361, in to_bytes exec(code, run_globals) b = b"%s:%s" % (tname, self._to_bytes(obj, context)) File "C:\GitHub\Streamlit\who-killed-laura-palmer\app.py", line 12, in <module> File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 627, in _to_bytes from app_utils.backend_utils import load_questions, query if self._file_should_be_hashed(code.co_filename): File "C:\GitHub\Streamlit\who-killed-laura-palmer\.\app_utils\backend_utils.py", line 37, in <module> File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 403, in _file_should_be_hashed pipe = start_haystack() filepath, self._get_main_script_directory() File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\caching.py", line 623, in wrapped_func File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 715, in _get_main_script_directory return get_or_create_cached_value() File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\caching.py", line 548, in get_or_create_cached_value abs_main_path = pathlib.Path(__main__.__file__).resolve() AttributeError: module '__main__' has no attribute '__file__' cache_key = _hash_func(non_optional_func, hash_funcs) During handling of the above exception, another exception occurred: File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\caching.py", line 674, in _hash_func Traceback (most recent call last): update_hash( File "<string>", line 1, in <module> File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 109, in update_hash ch.update(hasher, val, context) File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 116, in spawn_main File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 386, in update exitcode = _main(fd, parent_sentinel) b = self.to_bytes(obj, context) File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 125, in _main File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 375, in to_bytes prepare(preparation_data) raise InternalHashError(e, obj) File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 236, in prepare File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 361, in to_bytes _fixup_main_from_path(data['init_main_from_path']) b = b"%s:%s" % (tname, self._to_bytes(obj, context)) File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 627, in _to_bytes main_content = runpy.run_path(main_path, File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\runpy.py", line 268, in run_path if self._file_should_be_hashed(code.co_filename): return _run_module_code(code, init_globals, run_name, File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 403, in _file_should_be_hashed File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\runpy.py", line 97, in _run_module_code filepath, self._get_main_script_directory() _run_code(code, mod_globals, init_globals, File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 715, in _get_main_script_directory File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\runpy.py", line 87, in _run_code abs_main_path = pathlib.Path(__main__.__file__).resolve() streamlit.runtime.legacy_caching.hashing.InternalHashError: module '__main__' has no attribute '__file__' While caching the body of `start_haystack()`, Streamlit encountered an object of type `builtins.function`, which it does not know how to hash. **In this specific case, it's very likely you found a Streamlit bug so please [file a bug report here.] (https://github.com/streamlit/streamlit/issues/new/choose)** In the meantime, you can try bypassing this error by registering a custom hash function via the `hash_funcs` keyword in @st.cache(). For example: ``` @st.cache(hash_funcs={builtins.function: my_hash_func}) def my_func(...): ... ``` If you don't know where the object of type `builtins.function` is coming from, try looking at the hash chain below for an object that you do recognize, then pass that to `hash_funcs` instead: ``` Object of type builtins.function: <function start_haystack at 0x0000028E7B6B5E50> ``` Please see the `hash_funcs` [documentation] (https://docs.streamlit.io/library/advanced-features/caching#the-hash_funcs-parameter) for more details. exec(code, run_globals) File "C:\GitHub\Streamlit\who-killed-laura-palmer\app.py", line 12, in <module> from app_utils.backend_utils import load_questions, query File "C:\GitHub\Streamlit\who-killed-laura-palmer\.\app_utils\backend_utils.py", line 37, in <module> pipe = start_haystack() File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\caching.py", line 623, in wrapped_func return get_or_create_cached_value() File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\caching.py", line 548, in get_or_create_cached_value cache_key = _hash_func(non_optional_func, hash_funcs) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\caching.py", line 674, in _hash_func update_hash( File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 109, in update_hash ch.update(hasher, val, context) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 386, in update b = self.to_bytes(obj, context) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 375, in to_bytes raise InternalHashError(e, obj) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 361, in to_bytes b = b"%s:%s" % (tname, self._to_bytes(obj, context)) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 627, in _to_bytes if self._file_should_be_hashed(code.co_filename): File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 403, in _file_should_be_hashed 2022-11-10 14:35:05.655 Warning: to view a Streamlit app on a browser, use Streamlit in a file and run it with the following command: streamlit run [FILE_NAME] [ARGUMENTS] filepath, self._get_main_script_directory() File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 715, in _get_main_script_directory abs_main_path = pathlib.Path(__main__.__file__).resolve() streamlit.runtime.legacy_caching.hashing.InternalHashError: module '__main__' has no attribute '__file__' While caching the body of `start_haystack()`, Streamlit encountered an object of type `builtins.function`, which it does not know how to hash. **In this specific case, it's very likely you found a Streamlit bug so please [file a bug report here.] (https://github.com/streamlit/streamlit/issues/new/choose)** In the meantime, you can try bypassing this error by registering a custom hash function via the `hash_funcs` keyword in @st.cache(). For example: ``` @st.cache(hash_funcs={builtins.function: my_hash_func}) def my_func(...): ... ``` If you don't know where the object of type `builtins.function` is coming from, try looking at the hash chain below for an object that you do recognize, then pass that to `hash_funcs` instead: ``` Object of type builtins.function: <function start_haystack at 0x0000012DFD465E50> ``` Please see the `hash_funcs` [documentation] (https://docs.streamlit.io/library/advanced-features/caching#the-hash_funcs-parameter) for more details. 2022-11-10 14:35:06.143 Warning: to view a Streamlit app on a browser, use Streamlit in a file and run it with the following command: streamlit run [FILE_NAME] [ARGUMENTS] Traceback (most recent call last): File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 361, in to_bytes b = b"%s:%s" % (tname, self._to_bytes(obj, context)) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 627, in _to_bytes if self._file_should_be_hashed(code.co_filename): File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 403, in _file_should_be_hashed filepath, self._get_main_script_directory() File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 715, in _get_main_script_directory abs_main_path = pathlib.Path(__main__.__file__).resolve() AttributeError: module '__main__' has no attribute '__file__' During handling of the above exception, another exception occurred: Traceback (most recent call last): File "<string>", line 1, in <module> File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 116, in spawn_main exitcode = _main(fd, parent_sentinel) File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 125, in _main prepare(preparation_data) File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 236, in prepare _fixup_main_from_path(data['init_main_from_path']) File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path main_content = runpy.run_path(main_path, File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\runpy.py", line 268, in run_path return _run_module_code(code, init_globals, run_name, File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\runpy.py", line 97, in _run_module_code _run_code(code, mod_globals, init_globals, File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\runpy.py", line 87, in _run_code exec(code, run_globals) File "C:\GitHub\Streamlit\who-killed-laura-palmer\app.py", line 12, in <module> from app_utils.backend_utils import load_questions, query File "C:\GitHub\Streamlit\who-killed-laura-palmer\.\app_utils\backend_utils.py", line 37, in <module> pipe = start_haystack() File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\caching.py", line 623, in wrapped_func return get_or_create_cached_value() File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\caching.py", line 548, in get_or_create_cached_value cache_key = _hash_func(non_optional_func, hash_funcs) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\caching.py", line 674, in _hash_func update_hash( File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 109, in update_hash ch.update(hasher, val, context) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 386, in update b = self.to_bytes(obj, context) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 375, in to_bytes raise InternalHashError(e, obj) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 361, in to_bytes b = b"%s:%s" % (tname, self._to_bytes(obj, context)) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 627, in _to_bytes if self._file_should_be_hashed(code.co_filename): File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 403, in _file_should_be_hashed filepath, self._get_main_script_directory() File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 715, in _get_main_script_directory abs_main_path = pathlib.Path(__main__.__file__).resolve() streamlit.runtime.legacy_caching.hashing.InternalHashError: module '__main__' has no attribute '__file__' While caching the body of `start_haystack()`, Streamlit encountered an object of type `builtins.function`, which it does not know how to hash. **In this specific case, it's very likely you found a Streamlit bug so please [file a bug report here.] (https://github.com/streamlit/streamlit/issues/new/choose)** In the meantime, you can try bypassing this error by registering a custom hash function via the `hash_funcs` keyword in @st.cache(). For example: ``` @st.cache(hash_funcs={builtins.function: my_hash_func}) def my_func(...): ... ``` If you don't know where the object of type `builtins.function` is coming from, try looking at the hash chain below for an object that you do recognize, then pass that to `hash_funcs` instead: ``` Object of type builtins.function: <function start_haystack at 0x0000022B01155E50> ``` Please see the `hash_funcs` [documentation] (https://docs.streamlit.io/library/advanced-features/caching#the-hash_funcs-parameter) for more details. Traceback (most recent call last): File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 361, in to_bytes b = b"%s:%s" % (tname, self._to_bytes(obj, context)) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 627, in _to_bytes if self._file_should_be_hashed(code.co_filename): File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 403, in _file_should_be_hashed filepath, self._get_main_script_directory() File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 715, in _get_main_script_directory abs_main_path = pathlib.Path(__main__.__file__).resolve() AttributeError: module '__main__' has no attribute '__file__' During handling of the above exception, another exception occurred: Traceback (most recent call last): File "<string>", line 1, in <module> File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 116, in spawn_main exitcode = _main(fd, parent_sentinel) File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 125, in _main prepare(preparation_data) File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 236, in prepare _fixup_main_from_path(data['init_main_from_path']) File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path main_content = runpy.run_path(main_path, File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\runpy.py", line 268, in run_path return _run_module_code(code, init_globals, run_name, File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\runpy.py", line 97, in _run_module_code _run_code(code, mod_globals, init_globals, File "C:\Users\ykrupnik\AppData\Local\Programs\Python\Python39\lib\runpy.py", line 87, in _run_code exec(code, run_globals) File "C:\GitHub\Streamlit\who-killed-laura-palmer\app.py", line 12, in <module> from app_utils.backend_utils import load_questions, query File "C:\GitHub\Streamlit\who-killed-laura-palmer\.\app_utils\backend_utils.py", line 37, in <module> pipe = start_haystack() File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\caching.py", line 623, in wrapped_func return get_or_create_cached_value() File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\caching.py", line 548, in get_or_create_cached_value cache_key = _hash_func(non_optional_func, hash_funcs) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\caching.py", line 674, in _hash_func update_hash( File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 109, in update_hash ch.update(hasher, val, context) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 386, in update b = self.to_bytes(obj, context) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 375, in to_bytes raise InternalHashError(e, obj) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 361, in to_bytes b = b"%s:%s" % (tname, self._to_bytes(obj, context)) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 627, in _to_bytes if self._file_should_be_hashed(code.co_filename): File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 403, in _file_should_be_hashed filepath, self._get_main_script_directory() File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 715, in _get_main_script_directory abs_main_path = pathlib.Path(__main__.__file__).resolve() streamlit.runtime.legacy_caching.hashing.InternalHashError: module '__main__' has no attribute '__file__' While caching the body of `start_haystack()`, Streamlit encountered an object of type `builtins.function`, which it does not know how to hash. **In this specific case, it's very likely you found a Streamlit bug so please [file a bug report here.] (https://github.com/streamlit/streamlit/issues/new/choose)** In the meantime, you can try bypassing this error by registering a custom hash function via the `hash_funcs` keyword in @st.cache(). For example: ``` @st.cache(hash_funcs={builtins.function: my_hash_func}) def my_func(...): ... ``` If you don't know where the object of type `builtins.function` is coming from, try looking at the hash chain below for an object that you do recognize, then pass that to `hash_funcs` instead: ``` Object of type builtins.function: <function start_haystack at 0x000001D97BD85E50> ``` Please see the `hash_funcs` [documentation] (https://docs.streamlit.io/library/advanced-features/caching#the-hash_funcs-parameter) for more details. 2022-11-10 14:35:09.083 Warning: to view a Streamlit app on a browser, use Streamlit in a file and run it with the following command: streamlit run [FILE_NAME] [ARGUMENTS] Traceback (most recent call last): File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 361, in to_bytes b = b"%s:%s" % (tname, self._to_bytes(obj, context)) File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 627, in _to_bytes if self._file_should_be_hashed(code.co_filename): File "c:\github\streamlit\who-killed-laura-palmer\env\lib\site-packages\streamlit\runtime\legacy_caching\hashing.py", line 403, in _file_should_be_hashed filepath, self._get_main_s

That would be great, thanks a lot!

Thanks Stefano :)

Hi Stefano, I actually started the installation from scratch and it worked without commenting out lines (had to install a newer version of torch though). What would you say be the easiest way to re-use your code but with different text source? (Assuming I have downloaded texts from another source that I want to ask questions on). Thanks, Yoel