https://github.com/streamlit/llm-examples

Streamlit LLM app examples for getting started
https://github.com/streamlit/llm-examples

Last synced: 6 days ago
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Streamlit LLM app examples for getting started

• Host: GitHub
• URL: https://github.com/streamlit/llm-examples
• Owner: streamlit
• License: apache-2.0
• Created: 2023-05-24T21:05:08.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-06-27T07:39:22.000Z (6 months ago)
• Last Synced: 2024-12-26T06:05:27.503Z (13 days ago)
• Language: Python
• Homepage: https://streamlit.io/generative-ai
• Size: 1.53 MB
• Stars: 666
• Watchers: 7
• Forks: 1,450
• Open Issues: 23
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# 🎈 Streamlit + LLM Examples App

[![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://codespaces.new/streamlit/llm-examples?quickstart=1)

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](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://llm-examples.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:

```sh

OPENAI_API_KEY='xxxxxxxxxx'

```

## Run it locally

```sh

virtualenv .venv

source .venv/bin/activate

pip install -r requirements.txt

streamlit run Chatbot.py

```