https://github.com/nafisrayan/aicontextchat-st

https://github.com/nafisrayan/aicontextchat-st

ai beautifulsoup chat-application chatbot docx2txt file-upload gemeni google-generative-ai joblib nlp pandas pypdf2 python scraping streamlit

Last synced: 3 days ago
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• Host: GitHub
• URL: https://github.com/nafisrayan/aicontextchat-st
• Owner: NafisRayan
• Created: 2024-09-27T16:12:20.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2024-12-16T11:04:44.000Z (6 days ago)
• Last Synced: 2024-12-16T12:19:15.979Z (6 days ago)
• Topics: ai, beautifulsoup, chat-application, chatbot, docx2txt, file-upload, gemeni, google-generative-ai, joblib, nlp, pandas, pypdf2, python, scraping, streamlit
• Language: Python
• Homepage: https://aicontextchat-st-0.streamlit.app/
• Size: 138 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: readme.md

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README

        
# AiContextChat-ST

## Overview

AiContextChat-ST is a chat application built using Streamlit and various natural language processing tools. It provides a platform for users to engage in conversations while leveraging AI capabilities for enhanced interaction.

## Screenshots  

Here are some screenshots of the app showcasing its key features and design:  

  

## Features

- Real-time chat functionality

- Support for uploading PDF, TXT, and DOCX files

- Web scraping capability to gather information from websites

- Integration with Google's Generative AI model for intelligent responses

- Ability to save and retrieve past chats

## Technologies Used

- Streamlit for building the web interface

- BeautifulSoup for HTML parsing and web scraping

- PyPDF2 for PDF text extraction

- docx2txt for DOCX text extraction

- google.generativeai for AI-powered responses

- joblib for saving/loading chat history

## Setup Instructions

1. Clone the repository:

git clone https://github.com/NafisRayan/AiContextChat-ST.git

2. Install dependencies:

pip install streamlit pandas beautifulsoup4 google-generativeai py-pdf2 docx2txt joblib

3. Run the application:

streamlit run app.py

4. Open the application in your web browser at `http://localhost:8501`.

## Usage

1. Enter a URL or upload a file to gather information.

2. Select a past chat or start a new one.

3. Type your message in the chat input area.

4. The AI assistant will respond based on the gathered information and your query.

## Contributing

Contributions are welcome! Please feel free to submit pull requests or issues.