https://github.com/alihassanml/speek-to-code-ai

A Flask-based web application that transcribes audio into code. Users can upload audio files, which are then transcribed into text, and use that text to generate functional code snippets via an AI-powered API.
https://github.com/alihassanml/speek-to-code-ai

ai code flask flask-application generator spech-to-text

Last synced: 6 days ago
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A Flask-based web application that transcribes audio into code. Users can upload audio files, which are then transcribed into text, and use that text to generate functional code snippets via an AI-powered API.

• Host: GitHub
• URL: https://github.com/alihassanml/speek-to-code-ai
• Owner: alihassanml
• License: mit
• Created: 2024-09-12T15:31:37.000Z (about 2 months ago)
• Default Branch: main
• Last Pushed: 2024-09-14T16:26:55.000Z (about 2 months ago)
• Last Synced: 2024-10-31T05:04:08.521Z (6 days ago)
• Topics: ai, code, flask, flask-application, generator, spech-to-text
• Language: Jupyter Notebook
• Homepage: https://alihassanml.pythonanywhere.com/
• Size: 39.7 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Speak to Code AI

A Flask-based web application that transcribes audio into code. Users can upload audio files, which are then transcribed into text, and use that text to generate functional code snippets via an AI-powered API.

## Features

- **Audio Transcription:** Upload audio files and receive transcriptions.

- **Code Generation:** Generate functional code snippets based on text prompts.

- **3D Website Integration:** Incorporates 3D elements in the web interface (details not provided in this script).

![image](./1.png)

## Installation

1. **Clone the repository:**

   ```bash

   git clone https://github.com/alihassanml/Speek-to-Code-AI.git

   cd Speek-to-Code-AI

   ```

2. **Install dependencies:**

   ```bash

   pip install -r requirements.txt

   ```

3. **Set up environment variables:**

   Create a `.env` file in the root directory and add your API key:

   ```env

   API_KEY=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

   ```

4. **Run the application:**

   ```bash

   python app.py

   ```

## Usage

- **Record Audio:** Send a POST request to `/record` with a file upload. The response will contain the transcription of the audio.

- **Generate Code:** Send a POST request to `/generate_code` with a JSON body containing the `prompt` for code generation. The response will include the generated code.

## API Endpoints

- `POST /record`: Uploads audio and returns transcription.

- `POST /generate_code`: Accepts a prompt and returns generated code.

## Dependencies

- Flask

- groq

## License

This project is licensed under the MIT License.