This repository features a sophisticated chatbot named SmartBot created with Gemini AI and Streamlit. The chatbot uses Gemini AI's advanced natural language processing to provide intelligent and context-aware responses to various queries. One of the standout features of this chatbot is the ability to export conversation responses as PDF files to share the chatbot's responses in a professional format or keep a record of the conversation for future reference.
You can access the deployed chatbot application at the following URL: https://smartbot-3.onrender.com/
SmartBot.recording.3.mp4
- Features
- Requirements
- Installation
- Usage
- Contributing
- License
- Intelligent Responses: The chatbot uses Gemini AI to provide accurate and relevant responses to user queries.
- User-Friendly Interface: Built with Streamlit, the interface is easy to navigate and interact with, providing a seamless user experience.
- Real-Time Conversation: Handles conversations in real-time, making it responsive and interactive.
- PDF Export: Users can export chatbot responses as PDFs to share anywhere.
- Python 3.6 or higher
- Gemini AI API key
- Streamlit
- Clone the repository:
git clone https://github.com/Vedant804/SmartBot.git
cd SmartBot
- Create a virtual environment:
python -m venv venv
source venv/bin/activate # On Windows use `venv\Scripts\activate- Install the required packages:
pip install -r requirements.txt- Set up your environment variables: Create a file named .env in the root directory and add your environment variables:
GEMINI_API_KEY=your_gemini_api_key- Run the Streamlit app:
streamlit run chat.py
- Open your browser: Go to http://localhost:8501 to interact with the chatbot.
Contributions are welcome! Please feel free to submit a Pull Request.
- Fork the repository
- Create your feature branch (git checkout -b feature/your-feature)
- Commit your changes (git commit -am 'Add some feature')
- Push to the branch (git push origin feature/your-feature)
- Create a new Pull Request