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MediVirtuoso ChatBot: An intelligent conversational agent powered by Google's Gemini LLM, featuring image recognition for drugs and medicines. Engage in natural language conversations, make queries, and explore the world of pharmaceuticals seamlessly with its user-friendly interface built on Streamlit

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vijaisuria/MediVirtuoso-ChatBot-Gemini-LLM

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🤖 MediVirtuoso ChatBot with Gemini LLM

Welcome to MediVirtuoso, a chatbot specifically trained and powered by Google's Gemini Large Language Model (LLM). Engage in intelligent conversations and explore the capabilities of advanced language understanding!

Table of Contents

Installation

To get started with MediVirtuoso ChatBot, follow these steps:

  1. Clone the repository:

    git clone https://github.com/your-username/MediVirtuoso-ChatBot-Gemini-LLM.git
  2. Navigate to the project directory:

    cd MediVirtuoso-ChatBot-Gemini-LLM
  3. Activating venv (optional)

    conda create -n venv python=3.10
    conda activate venv
  4. Install dependencies:

    pip install -r requirements.txt
  5. Configure environment variables

    Rename `.env-sample` to `.env` file
    Replace the API your Google API Key, 
    

    Kindly follow refer to this site for getting your own key

  6. Run the chatbot:

    streamlit run MediVirtuoso.py

Usage

Describe how to use the chatbot and any specific features or commands that users should be aware of.

Acknowledgement

A special thanks to:

  • Google's Gemini Large Language Model (LLM) 🌐 - for powering the intelligence behind MediVirtuoso ChatBot.
  • Streamlit 🚀 - for providing an amazing framework for creating the user interface.

Contact

For inquiries or collaborations, connect with me through 📬:

Contributions

Contributions are welcome! If you want to contribute to the development of MediVirtuoso ChatBot, please follow the guidelines outlined in CONTRIBUTING.md.

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MediVirtuoso ChatBot: An intelligent conversational agent powered by Google's Gemini LLM, featuring image recognition for drugs and medicines. Engage in natural language conversations, make queries, and explore the world of pharmaceuticals seamlessly with its user-friendly interface built on Streamlit

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