llm-examples
Streamlit LLM app examples for getting started
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Starter examples for building LLM apps with Streamlit. This repository showcases a growing collection of LLM minimum working examples, including a Chatbot, File Q&A, Chat with Internet search, LangChain Quickstart, LangChain PromptTemplate, and Chat with user feedback. Users can easily get their own OpenAI API key and set it as an environment variable in Streamlit apps to run the examples locally.
README:
Starter examples for building LLM apps with Streamlit.
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
You can get your own OpenAI API key by following the following instructions:
- Go to https://platform.openai.com/account/api-keys.
- Click on the
+ Create new secret key
button. - Next, enter an identifier name (optional) and click on the
Create secret key
button.
To set the OpenAI API key as an environment variable in Streamlit apps, do the following:
- At the lower right corner, click on
< Manage app
then click on the vertical "..." followed by clicking onSettings
. - 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'
virtualenv .venv
source .venv/bin/activate
pip install -r requirements.txt
streamlit run Chatbot.py
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