https://github.com/balnarendrasapa/chatbot

A Simple chatbot using langchain and streamlit. This repo uses light weight falcon4b llm model
https://github.com/balnarendrasapa/chatbot

chatbot langchain python

Last synced: 2 months ago
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A Simple chatbot using langchain and streamlit. This repo uses light weight falcon4b llm model

• Host: GitHub
• URL: https://github.com/balnarendrasapa/chatbot
• Owner: balnarendrasapa
• License: gpl-3.0
• Created: 2023-08-23T21:44:49.000Z (almost 3 years ago)
• Default Branch: master
• Last Pushed: 2024-01-29T23:48:31.000Z (over 2 years ago)
• Last Synced: 2025-06-14T02:09:22.785Z (about 1 year ago)
• Topics: chatbot, langchain, python
• Language: Python
• Homepage: https://huggingface.co/spaces/bnsapa/chatbot-using-langchain
• Size: 1.11 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 5
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Chatbot Streamlit App

[![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://codespaces.new/balnarendrasapa/chatbot)

[![Open in Dev Containers](https://img.shields.io/static/v1?label=Dev%20Containers&message=Open&color=blue&logo=visualstudiocode)](https://vscode.dev/redirect?url=vscode://ms-vscode-remote.remote-containers/cloneInVolume?url=https://github.com/balnarendrasapa/chatbot)

![GitHub](https://img.shields.io/github/license/balnarendrasapa/chatbot)

This streamlit is just an example of how a Large Language Model works. This streamlit is built upon FALCON-4B llm. This llm is light weight and does not require a GPU. 

This example are taken from langchain library. The link to the original [repo](https://github.com/langchain-ai/streamlit-agent/tree/main). But that chatbot requires you to have OPEN_AI API Key. You don't need that here. This is hosted on Huggingface Spaces. Link to the chatbot [site](https://huggingface.co/spaces/bnsapa/chatbot-using-langchain)

## Development setup ⚙️

This repository contains a devcontainer.json file. You can either choose to open this in codespace or build a development environment locally. If you choose to develop locally, make sure to install the `Remote Development` extension in VSCode.

- If you want to open in codespaces, click on the above badge `Open in GitHub Codespaces` 🛠️

- If you want to open in VSCode locally, click on the above badge `Open in Dev Containers` 🛠️

## Running server 🏃‍♂️

### In Dev Environment 🛠️

- To run the server, run the command `make run`. This starts up the streamlit app. You can access the stremalit app through `localhost:8501` 🚀

- To stop the server, run `make stopserver` ⛔

### Using docker-compose in root 🐳

- To run using docker-compose, cd into the root directory and run `docker-compose up`. This may not be useful for development.

- There is an image available in this repository. If you just want to check this project out, download `other/docker-compose.yml` file and run `docker-compose up` 🐳