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llm-examples's Introduction

๐ŸŽˆ Streamlit + LLM Examples App

Open in GitHub Codespaces

Starter examples for building LLM apps with Streamlit.

Overview of the App

This app showcases a growing collection of LLM minimum working examples.

Current examples include:

  • Chatbot
  • File Q&A
  • Chat with Internet search
  • LangChain Quickstart
  • LangChain PromptTemplate
  • Chat with user feedback

Demo App

Streamlit App

Get an OpenAI API key

You can get your own OpenAI API key by following the following instructions:

  1. Go to https://platform.openai.com/account/api-keys.
  2. Click on the + Create new secret key button.
  3. Next, enter an identifier name (optional) and click on the Create secret key button.

Enter the OpenAI API key in Streamlit Community Cloud

To set the OpenAI API key as an environment variable in Streamlit apps, do the following:

  1. At the lower right corner, click on < Manage app then click on the vertical "..." followed by clicking on Settings.
  2. This brings the App settings, next click on the Secrets tab and paste the API key into the text box as follows:
OPENAI_API_KEY='xxxxxxxxxx'

Run it locally

virtualenv .venv
source .venv/bin/activate
pip install -r requirements.txt
streamlit run Chatbot.py

llm-examples's People

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llm-examples's Issues

Update Anthropic Client

Anthropic changed their python sdk - making this code line outdated.

client = anthropic.Client(api_key=anthropic_api_key)

Would love to know if this might help - https://github.com/BerriAI/litellm

~100 lines of code, that standardizes all the llm api calls to the OpenAI call

from litellm import completion

## set ENV variables
# ENV variables can be set in .env file, too. Example in .env.example
os.environ["OPENAI_API_KEY"] = "openai key"
os.environ["ANTHROPIC_API_KEY"] = "anthropic key"

messages = [{ "content": "Hello, how are you?","role": "user"}]

# openai call
response = completion(model="gpt-3.5-turbo", messages=messages)

# anthropic call
response = completion("claude-v-2", messages)

openai.RateLimitError:

The error -

This app has encountered an error. The original error message is redacted to prevent data leaks. Full error details have been recorded in the logs (if you're on Streamlit Cloud, click on 'Manage app' in the lower right of your app).

It is kinda edge case, need to show as warning instead of entire app crash

Errors on demo page

I got this error while testing the bots https://llm-examples.streamlit.app/:

openai.error.AuthenticationError: This app has encountered an error. The original error message is redacted to prevent data leaks. Full error details have been recorded in the logs (if you're on Streamlit Cloud, click on 'Manage app' in the lower right of your app).
Traceback:
File "/home/appuser/venv/lib/python3.9/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 552, in _run_script
exec(code, module.dict)
File "/app/llm-examples/Chatbot.py", line 24, in
response = openai.ChatCompletion.create(model="gpt-3.5-turbo", messages=st.session_state.messages)
File "/home/appuser/venv/lib/python3.9/site-packages/openai/api_resources/chat_completion.py", line 25, in create
return super().create(*args, **kwargs)
File "/home/appuser/venv/lib/python3.9/site-packages/openai/api_resources/abstract/engine_api_resource.py", line 153, in create
response, _, api_key = requestor.request(
File "/home/appuser/venv/lib/python3.9/site-packages/openai/api_requestor.py", line 298, in request
resp, got_stream = self._interpret_response(result, stream)
File "/home/appuser/venv/lib/python3.9/site-packages/openai/api_requestor.py", line 700, in _interpret_response
self._interpret_response_line(
File "/home/appuser/venv/lib/python3.9/site-packages/openai/api_requestor.py", line 763, in _interpret_response_line
raise self.handle_error_response(

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