llsourcell / how_to_deploy_a_keras_model_to_production Goto Github PK

I always have to modify your code to work for me, for example I add ( ) to print "".

when I tried to predict the image I am getting this error , TypeError: a bytes-like object is required, not 'str'
what should I do?

On requirements.txt the version numbers would be helpfull.

Traceback (most recent call last):
File "app.py", line 10, in
from flask import Flask, render_template,request
File "/home/abhay/anaconda2/lib/python2.7/site-packages/flask/init.py", line 19, in
from . import json
File "/home/abhay/anaconda2/lib/python2.7/site-packages/flask/json/init.py", line 25, in
import dataclasses
File "/home/abhay/anaconda2/lib/python2.7/site-packages/dataclasses.py", line 202
class InitVar(metaclass=_InitVarMeta):
^
SyntaxError: invalid syntax

if i train a new model.

how to reload the model in flask?

Please help me out with this error ASAP!!
This is what comes after clicking the predict button

debug
debug2
[2020-05-09 06:02:15,424] ERROR in app: Exception on /predict/ [POST]
Traceback (most recent call last):
File "H:\anaconda3\envs\TejasEnv\lib\site-packages\flask\app.py", line 2311, in wsgi_app
response = self.full_dispatch_request()
File "H:\anaconda3\envs\TejasEnv\lib\site-packages\flask\app.py", line 1834, in full_dispatch_request
rv = self.handle_user_exception(e)
File "H:\anaconda3\envs\TejasEnv\lib\site-packages\flask\app.py", line 1737, in handle_user_exception
reraise(exc_type, exc_value, tb)
File "H:\anaconda3\envs\TejasEnv\lib\site-packages\flask_compat.py", line 36, in reraise
raise value
File "H:\anaconda3\envs\TejasEnv\lib\site-packages\flask\app.py", line 1832, in full_dispatch_request
rv = self.dispatch_request()
File "H:\anaconda3\envs\TejasEnv\lib\site-packages\flask\app.py", line 1818, in dispatch_request
return self.view_functionsrule.endpoint
File "C:\Users\hp\how_to_deploy_a_keras_model_to_production-master\app.py", line 75, in predict
out = model.predict(x)
File "H:\anaconda3\envs\TejasEnv\lib\site-packages\tensorflow\python\keras\engine\training.py", line 1113, in predict
self, x, batch_size=batch_size, verbose=verbose, steps=steps)
File "H:\anaconda3\envs\TejasEnv\lib\site-packages\tensorflow\python\keras\engine\training_arrays.py", line 329, in model_iteration
batch_outs = f(ins_batch)
File "H:\anaconda3\envs\TejasEnv\lib\site-packages\tensorflow\python\keras\backend.py", line 3076, in call
run_metadata=self.run_metadata)
File "H:\anaconda3\envs\TejasEnv\lib\site-packages\tensorflow\python\client\session.py", line 1439, in call
run_metadata_ptr)
File "H:\anaconda3\envs\TejasEnv\lib\site-packages\tensorflow\python\framework\errors_impl.py", line 528, in exit
c_api.TF_GetCode(self.status.status))
tensorflow.python.framework.errors_impl.FailedPreconditionError: Error while reading resource variable dense_2/bias from Container: localhost. This could mean that the variable was uninitialized. Not found: Resource localhost/dense_2/bias/class tensorflow::Var does not exist.
[[{{node dense_2/BiasAdd/ReadVariableOp}}]]

I am using Tensorflow 1.13.0 version

I get this error:
Traceback (most recent call last): File "C:\Users\Oussama\AppData\Local\Programs\Python\Python35\lib\site-packages\flask\app.py", line 1982, in wsgi_app response = self.full_dispatch_request() File "C:\Users\Oussama\AppData\Local\Programs\Python\Python35\lib\site-packages\flask\app.py", line 1614, in full_dispatch_request rv = self.handle_user_exception(e) File "C:\Users\Oussama\AppData\Local\Programs\Python\Python35\lib\site-packages\flask\app.py", line 1517, in handle_user_exception reraise(exc_type, exc_value, tb) File "C:\Users\Oussama\AppData\Local\Programs\Python\Python35\lib\site-packages\flask\_compat.py", line 33, in reraise raise value File "C:\Users\Oussama\AppData\Local\Programs\Python\Python35\lib\site-packages\flask\app.py", line 1612, in full_dispatch_request rv = self.dispatch_request() File "C:\Users\Oussama\AppData\Local\Programs\Python\Python35\lib\site-packages\flask\app.py", line 1598, in dispatch_request return self.view_functions[rule.endpoint](**req.view_args) File "app.py", line 56, in predict convertImage(imgData) File "app.py", line 36, in convertImage imgstr = re.search(r'base64,(.*)',imgData1).group(1) File "C:\Users\Oussama\AppData\Local\Programs\Python\Python35\lib\re.py", line 173, in search return _compile(pattern, flags).search(string) TypeError: cannot use a string pattern on a bytes-like object

invalid syntax.....

TensorFlow version in the requirements file should updated to last version otherwise some functions won't work ( like convolution )