This is a Python-based Streamlit application that allows users to input a query and generate code or responses using Google Generative AI (Gemini).

• Enter a query or code snippet, and the app generates relevant responses.
• Integrates with Google Generative AI to provide AI-generated content.
• The app uses Streamlit for a fast and interactive web interface.
• Supports a chat-like interface where the user and the assistant (AI) exchange messages.

Before running the application, make sure you have the following installed:

• Python 3.x (preferably the latest version)
• Streamlit - A Python framework for building interactive apps.
• Google Generative AI - The Python client for Google's AI models.

You will also need a Google API key to use the generative models.

Clone this repository to your local machine:

git clone <repository_url>
cd <repository_name>

It's a good practice to use a virtual environment. Here's how to create and activate one:

python -m venv venv
.\venv\Scripts\activate

python3 -m venv venv
source venv/bin/activate

Install the necessary dependencies by running the following command in your terminal:

pip install -r requirements.txt

Alternatively, install each package individually:

pip install streamlit google-generativeai python-dotenv

1. Create a .env file in the root of the project directory.
2. Add your Gemini API Key to the .env file:

gemini_api_key=YOUR_API_KEY_HERE

Replace YOUR_API_KEY_HERE with your actual API key from Google.

Start the Streamlit application by running:

streamlit run app.py

This will open the app in your default browser. You can now start using the app to input code queries and generate responses.

1. Enter a Query: In the input box, type a programming-related question or code snippet. For example: "How do I write a Python function to reverse a string?"
2. Generate Response: Click the "Search" button, and the assistant will generate an answer based on the input.
3. View Chat History: The assistant's responses will appear in a chat-like interface.
4. Clear History: Click the "Clear history" button to reset the conversation.

For example, if you input:

Python code says hello world

The assistant might respond with:

print("Hello, World!")

If you want to contribute to this project, feel free to fork it, create a branch, and submit a pull request. All contributions are welcome!

This project is licensed under the MIT License.