A Streamlit web application that generates tweets on any topic using Google's Gemini AI model, orchestrated with LangChain.

• Generate 1 to 10 tweets on any user-specified topic
• Powered by Google's Gemini 1.5 Flash model for fast, high-quality text generation
• Simple, interactive web UI built with Streamlit
• LangChain integration for clean prompt templating and model chaining

• Streamlit - Web UI framework
• LangChain - LLM orchestration and prompt management
• Google Generative AI (Gemini) - Large language model for tweet generation

• Python 3.8+
• A Google API key with access to the Gemini API

1. Clone the repository:

   git clone https://github.com/satvik314/basic_app_template.git
   cd basic_app_template

2. Install dependencies:

   pip install -r requirements.txt

3. Configure your Google API key using Streamlit secrets. Create a .streamlit/secrets.toml file:

   GOOGLE_API_KEY = "your-google-api-key-here"

streamlit run main.py

1. Enter a topic in the text input field (e.g., "artificial intelligence", "climate change")
2. Select the number of tweets to generate (1-10)
3. Click the Generate button
4. View the generated tweets displayed on the page

basic_app_template/
├── main.py              # Main Streamlit application with LangChain + Gemini integration
├── requirements.txt     # Python package dependencies
├── .gitignore           # Git ignore rules for Python projects
└── README.md            # Project documentation