🤖 ThincSync Chatbot

Welcome to ThincSync! This is an interactive chatbot powered by a Language Learning Model (LLM) and integrated with Hugging Face's API. Built using Streamlit, this chatbot allows you to have dynamic and intelligent conversations.

Features

• User Authentication: Secure login using Hugging Face credentials.
• Interactive Chat: The chatbot responds to user inputs in real-time.
• Session Management: Keeps track of the conversation history.
• Seamless Integration: Built with the Hugging Face API for LLM responses.

Requirements

Make sure you have the following installed to run the project:

• Python 3.8 or higher
• Streamlit
• Hugging Face API

Installation

1. Clone the repository:

   git clone https://github.com/IthavinduU/ThinkSync.git
   cd ThinkSync

2. Install the required dependencies:

   pip install -r requirements.txt

3. Set up your Hugging Face credentials:

   You can provide Hugging Face credentials via Streamlit's secret management. To do this:

   • Go to Secrets in your Streamlit app.
   • Add your Hugging Face credentials as:

   [secrets]
   EMAIL = "your_email_here"
   PASS = "your_password_here"
   

Usage

To start the chatbot, run the Streamlit app using:

streamlit run app.py