app_gradio.py

import gradio as gr
import time
import asyncio
from typing import Generator

# Global state tracking
service_info = {
    "status": "running",
    "model_loaded": False,
    "connections": 0,
    "version": "gradio-test"
}

def health_check() -> dict:
    """Health check function"""
    return {
        "status": "healthy",
        "timestamp": time.time(),
        "service": "STT GPU Service - Gradio Test",
        **service_info
    }

def transcribe_audio(audio_file):
    """Placeholder transcription function"""
    if audio_file is None:
        return "No audio file provided"
    
    # Placeholder response
    return f"Audio file received: {type(audio_file)} - Model not loaded yet (placeholder)"

def streaming_demo(audio_chunk):
    """Placeholder streaming function"""
    if audio_chunk is None:
        return "No audio chunk provided"
    
    return f"Streaming chunk received - Model not loaded yet (placeholder)"

# Create Gradio interface
with gr.Blocks(title="STT GPU Service - Gradio Test") as demo:
    gr.Markdown("""
    # 🎙️ STT GPU Service - Gradio Test Version
    
    This is a test deployment to verify HuggingFace Spaces functionality.
    The actual STT model will be added after successful deployment.
    """)
    
    with gr.Tab("Health Check"):
        health_output = gr.JSON(label="Service Status")
        health_btn = gr.Button("Check Health")
        health_btn.click(health_check, outputs=health_output)
    
    with gr.Tab("File Transcription"):
        gr.Markdown("Upload an audio file for transcription (placeholder)")
        audio_input = gr.Audio(type="filepath", label="Upload Audio File")
        transcribe_btn = gr.Button("Transcribe")
        transcribe_output = gr.Textbox(label="Transcription Result")
        transcribe_btn.click(transcribe_audio, inputs=audio_input, outputs=transcribe_output)
    
    with gr.Tab("Streaming Test"):
        gr.Markdown("Test streaming functionality (placeholder)")
        stream_input = gr.Audio(type="numpy", label="Stream Audio")
        stream_output = gr.Textbox(label="Streaming Response")
        stream_input.change(streaming_demo, inputs=stream_input, outputs=stream_output)
    
    with gr.Tab("API Info"):
        gr.Markdown("""
        ## API Endpoints (when deployed)
        
        - `GET /` - Service information
        - `GET /health` - Health check
        - `POST /transcribe` - File transcription
        - `WebSocket /ws/stream` - Real-time streaming
        
        ## Technical Details
        
        - **Model**: kyutai/stt-1b-en_fr (to be loaded)
        - **Framework**: Gradio + FastAPI backend
        - **GPU**: T4 Small
        - **Chunk Size**: 80ms
        - **Languages**: English, French
        """)

if __name__ == "__main__":
    demo.launch(
        server_name="0.0.0.0",
        server_port=7860,
        show_api=True,
        show_error=True
    )