AI Chatbot with Hugging Face and Streamlit

A simple chatbot built using Streamlit and the Hugging Face Inference API.
The chatbot uses the Mistral-7B-Instruct-v0.2 model for conversational AI.

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Features

• Conversational AI powered by Hugging Face LLM
• Clean and intuitive Streamlit interface
• Direct API requests to Hugging Face's free server

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Getting Started

1. Prerequisites

• Python 3.9+
• Hugging Face API token (get it here)

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2. Installation

Clone the repository:

git clone https://github.com/AdarshZolekar/AI-Chatbot.git
cd AI-Chatbot

Install dependencies:

pip install Requirements.txt

3. Environment Setup

Create a .env file in the project root:

HUGGINGFACE_API_TOKEN=your_token_here

4. Run the App

streamlit run AI-Chatbot.py

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Deployment

Deploy on Streamlit Cloud:

1. Push your code to GitHub.

2. Connect the repo to Streamlit Cloud.

3. Add HUGGINGFACE_API_TOKEN in App Secrets.

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Limitations

• Responses depend on Hugging Face’s free API quota.

• Latency may be high.

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Contributing

Contributions are welcome! Fork the repo, make changes and submit a PR.

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