https://github.com/shashankdeshpande/langchain-chatbot

Examples of chatbot implementations with Langchain and Streamlit
https://github.com/shashankdeshpande/langchain-chatbot

chatbot chatgpt langchain openai-api streamlit

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Examples of chatbot implementations with Langchain and Streamlit

• Host: GitHub
• URL: https://github.com/shashankdeshpande/langchain-chatbot
• Owner: shashankdeshpande
• Created: 2023-07-05T12:10:56.000Z (over 1 year ago)
• Default Branch: master
• Last Pushed: 2024-04-13T20:41:13.000Z (10 months ago)
• Last Synced: 2024-04-14T06:59:40.019Z (10 months ago)
• Topics: chatbot, chatgpt, langchain, openai-api, streamlit
• Language: Python
• Homepage: https://langchain-chatbot.streamlit.app
• Size: 14.6 KB
• Stars: 97
• Watchers: 1
• Forks: 79
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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• awesome-ChatGPT-repositories - langchain-chatbot - Examples of chatbot implementations with Langchain and Streamlit (Chatbots)

README

        
# Chatbot Implementations with Langchain + Streamlit

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

Langchain is a powerful framework designed to streamline the development of applications using Language Models (LLMs). \

It provides a comprehensive integration of various components, simplifying the process of assembling them to create robust applications.

## 💬 Sample chatbot use cases

Here are a few examples of chatbot implementations using Langchain and Streamlit:

-  **Basic Chatbot** \

  Engage in interactive conversations with the LLM.

- **Context aware chatbot** \

  A chatbot that remembers previous conversations and provides responses accordingly.

-  **Chatbot with Internet Access** \

  An internet-enabled chatbot capable of answering user queries about recent events.

-  **Chat with your documents** \

  Empower the chatbot with the ability to access custom documents, enabling it to provide answers to user queries based on the referenced information.

-  **Chat with SQL database** \

  Enable the chatbot to interact with a SQL database through simple, conversational commands.

-  **Chat with Websites** \

  Enable the chatbot to interact with website contents.

##  Streamlit App

Created a multi-page streamlit app containing all sample chatbot use cases. \

You can access this app through this link: [langchain-chatbot.streamlit.app](https://langchain-chatbot.streamlit.app)

[![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://langchain-chatbot.streamlit.app/)

## 🖥️ Running locally

```shell

# Run main streamlit app

$ streamlit run Home.py

```

## 📦 Running with Docker

```shell

# To generate image

$ docker build -t langchain-chatbot .

# To run the docker container

$ docker run -p 8501:8501 langchain-chatbot

```

## 💁 Contributing

Planning to add more chatbot examples over time. PRs are welcome.