https://github.com/saikiran76/personalchatbot

https://github.com/saikiran76/personalchatbot

Last synced: 3 days ago
JSON representation

• Host: GitHub
• URL: https://github.com/saikiran76/personalchatbot
• Owner: saikiran76
• Created: 2024-03-26T13:57:34.000Z (9 months ago)
• Default Branch: master
• Last Pushed: 2024-03-26T14:07:05.000Z (9 months ago)
• Last Synced: 2024-11-08T17:15:26.792Z (about 2 months ago)
• Language: HTML
• Size: 3.91 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Chatbot LLM powered by OpenAI 🤖

This repository contains a chatbot powered by OpenAI's Large Language Model (LLM). The chatbot is built using FastAPI and interacts with users to provide responses generated by the OpenAI model.

## Setup

To run the chatbot locally, follow these steps:

1. Clone the repository.

2. Install the required dependencies by running:

   `pip install fastapi uvicorn jinja2 mangum openai`

4. Replace the placeholder for the OpenAI API key in the code with your actual API key.

5. Run the FastAPI application using Uvicorn:

   `uvicorn main:app --reload`

## Usage

- Access the chatbot interface by visiting the homepage.

- Enter your message in the input field and submit to interact with the chatbot.

- The chatbot will provide responses based on the conversation history and the OpenAI model.

- You can also generate images by visiting the "/image" endpoint and providing a prompt for image generation.

## Endpoints

- **/**: Homepage where you can interact with the chatbot.

- **/image**: Endpoint for generating images based on user input.

## Acknowledgements

- This project utilizes OpenAI's powerful GPT-3.5 model for generating responses.

- FastAPI is used for building the web application and handling requests.

- Jinja2 is used for templating HTML responses.

- Mangum is used for deploying the FastAPI application on AWS Lambda.

Feel free to explore and enhance this chatbot further!