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This project utilizes the Gemini API key to enable powerful natural language processing capabilities. Whether you're interested in creative text generation or generating descriptive captions for images, Gemini has you covered.\n\nTo see training of different neural network architectures click below\n\nAutomatic Text Generation: https://github.com/CODING-Enthusiast9857/Automatic_Text_Generation\n\n## Features\n\n- **Text Generation:** Generate human-like text for various applications, including creative writing, code completion, and more.\n\n- **Image Description:** Leverage Gemini's language model to automatically generate descriptive captions for images.\n\n## Getting Started\n\n### Prerequisites\n\n- Python 3.6+\n- Gemini API Key (Get yours [here](https://makersuite.google.com/app/apikey))\n\n### Installation\n\n1. Clone the repository:\n\n    ```bash\n    git clone https://github.com/CODING-Enthusiast9857/Gemini_LLM_Application.git\n    cd Gemini_LLM_Application\n    ```\n    \n2. Set your Gemini API Key:\n\n    Store `\u003cyour_gemini_api_key\u003e` in variable name GOOGLE_API_KEY and save it in `.env` file with your actual Gemini API key.\n\n### Usage\n\n1. Run the text generation script:\n\n    ```bash\n    streamlit run app.py\n    ```\n\n2. Run the image description script:\n\n    ```bash\n    streamlit run vision.py \n    ```\n\n## Contributing\n\nContributions are welcome!\n\n## License\n\nThis project is licensed under the [MIT License](LICENSE).\n\n## Acknowledgments\n\n- Thanks to OpenAI for providing the Gemini API.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcoding-enthusiast9857%2Fgemini_llm_application","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcoding-enthusiast9857%2Fgemini_llm_application","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcoding-enthusiast9857%2Fgemini_llm_application/lists"}