https://github.com/lohiyah/vidcraft

VidCraft is an AI-driven backend application that generates videos from user-defined topics and backgrounds. It combines text, audio, and visuals using advanced AI services, making video creation accessible and efficient for developers and content creators alike.
https://github.com/lohiyah/vidcraft

ai elevenlabs fastapi ffmpgeg full-stack-web-development gemini-ai huggingface image-generation machine-learning reactjs subtitles text-to-speech typescript video-generation whisper

Last synced: about 20 hours ago
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VidCraft is an AI-driven backend application that generates videos from user-defined topics and backgrounds. It combines text, audio, and visuals using advanced AI services, making video creation accessible and efficient for developers and content creators alike.

• Host: GitHub
• URL: https://github.com/lohiyah/vidcraft
• Owner: LohiyaH
• License: mit
• Created: 2025-01-17T19:04:11.000Z (1 day ago)
• Default Branch: main
• Last Pushed: 2025-01-17T19:15:59.000Z (1 day ago)
• Last Synced: 2025-01-17T20:23:45.940Z (1 day ago)
• Topics: ai, elevenlabs, fastapi, ffmpgeg, full-stack-web-development, gemini-ai, huggingface, image-generation, machine-learning, reactjs, subtitles, text-to-speech, typescript, video-generation, whisper
• Language: TypeScript
• Homepage:
• Size: 106 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# VidCraft

## Description

This backend application is built using FastAPI and is designed to generate videos based on user-defined topics and backgrounds. It integrates multiple AI services for text generation, audio synthesis, image creation, and subtitle generation. The application handles various tasks, including cleaning text, formatting subtitles, and generating video files using FFmpeg.

## Installation

1. Clone the repository:

   ```bash

   git clone https://github.com/LohiyaH/VidCraft

   cd shorty

   ```

2. Install the required dependencies:

   ```bash

   pip install -r backend/requirements.txt

   ```

3. Set up environment variables in a `.env` file:

   ```

   GEMINI_API_KEY=

   ELEVENLABS_API_KEY=

   HUGGINGFACE_API_KEY=

   ```

## Usage

1. Run the FastAPI application:

   ```bash

   uvicorn backend.main:app --reload

   ```

2. Access the API documentation at `http://localhost:8000/docs`.

## API Endpoints

- **POST** `/api/generate-video`

  - **Request Body**:

    ```json

    {

      "topic": "string",

      "background": "string"

    }

    ```

  - **Response**:

    ```json

    {

      "videoUrl": "string"

    }

    ```

- **GET** `/api/test`

  - Returns a simple test message.

## Contributing

Contributions are welcome! Please open an issue or submit a pull request.

## License

This project is licensed under the MIT License.