/LLM_Text_And_Image_Generation-Project

Basic crud sql operations

Primary LanguagePython

Text and Image Generation Project

Overview

This project aims to showcase the capabilities of text and image generation using Replicate and Streamlit. Replicate is used for generating text, while Streamlit provides a user-friendly interface to interact with and visualize the generated content.

Features

  • Text Generation: Utilizes Replicate to generate creative and diverse text content based on given prompts.

  • Image Generation: Incorporates Replicate for image synthesis, creating unique and imaginative visuals.

  • User Interaction: Streamlit provides a user-friendly interface to customize prompts, view generated results, and control parameters.

File Structure

.
├── __pycache__                   # Python bytecode cache (automatically generated)
├── pages                         # Directory for Streamlit pages (if applicable)
│   └── ...                       # Additional files related to Streamlit pages
├── venv                          # Virtual environment directory (if using virtual environment)
│   └── ...                       # Virtual environment files
├── 1_Text Gen.py                 # Main script for Text Generation
├── replicateBackend.py           # Utility script for interacting with Replicate API
├── requirements.txt              # Project dependencies
└── README.md                     # Project documentation

Installation

  1. Clone the repository:

    git clone https://github.com/Xyz31/LLM_Text_And_Image_Generation-Project.git

  2. Change into the project directory:

      cd LLM_Text_And_Image_Generation-Project.git

  3. Install the required dependencies:

  pip install -r requirements.txt
  1. Run the Streamlit app:
  streamlit run app.py
  1. Open your web browser and navigate to http://localhost:8501 to interact with the application.