app.py

import requests
import os
import time
import tempfile
from gradio_client import Client, handle_file
import gradio as gr

def main(url, parameters, progress=gr.Progress()):
    try:
        font_type, font_size, font_color, service, target, style, subject = parameters.split(',')
        
        progress(0, desc="پردازش شروع شد")
        yield "پردازش شروع شد", None

        # Transcription Stage - Updated API endpoint
        progress(0.35, desc="تبدیل صوت به متن")
        yield "تبدیل صوت به متن", None
        
        transcribe_client = Client("rayesh/transcribe")
        try:
            # Changed to use default API name
            job = transcribe_client.submit(url)
            while not job.done():
                time.sleep(0.5)
                progress(0.35, desc="تبدیل صوت به متن")
            
            results = job.outputs()[0]
            print(results)
            if len(results) != 3:
                raise ValueError(f"Expected 3 outputs, got {len(results)}")
                
            srt_file, video, mp3_file = results
        finally:
            transcribe_client.close()

        # Translation Stage - Updated API endpoint
        progress(0.55, desc="در حال ترجمه")
        yield "در حال ترجمه", None
        
        translate_client = Client("rayesh/translate")
        try:
            # Changed to use default API name
            job = translate_client.submit(results[0], target)
            while not job.done():
                time.sleep(0.5)
                progress(0.55, desc="در حال ترجمه")
            
            translated_text = job.outputs()[0]
        finally:
            translate_client.close()

        # Video Processing Stage - Updated API endpoint
        progress(0.75, desc="پردازش ویدئو")
        yield "درحال پردازش ویدئو", None
        
        video_client = Client("SPACERUNNER99/video_edite")
        try:
            # Changed API name to match typical video processing endpoints
            job = video_client.submit(
                url,
                translated_text,
                font_type,
                font_size,
                font_color,
                api_name="/process"  # Changed to common endpoint name
            )
            while not job.done():
                time.sleep(0.5)
                progress(0.75, desc="پردازش ویدئو")
            
            output_video = job.outputs()[0]['video']
            
            
            # Create temporary file
            with tempfile.NamedTemporaryFile(delete=False, suffix=".mp4") as tmp_file:
                response = requests.get(output_video)
                tmp_file.write(response.content)
                tmp_file_path = tmp_file.name
            
            # Generate direct download link
            base_url = os.environ.get('GRADIO_SERVER_NAME', 'http://localhost:7860')
            download_url = f"{base_url}/file/{tmp_file_path}"
            print(download_url)
            
        finally:
            video_client.close()

        yield "پردازش کامل شد", download_url

    except Exception as e:
        raise gr.Error(f"خطا در پردازش: {str(e)}")

with gr.Blocks() as demo:
    gr.Markdown("ویدئو خود را آپلود کنید و پارامترها را تنظیم نمایید")
    with gr.Column():
        progress_output = gr.Textbox(label="وضعیت پردازش", visible=False)
        video_file_input = gr.Text(label="لینک ویدئو")
        parameters = gr.Text(label="پارامترهای زیرنویس (قلم، اندازه، رنگ)")
        btn = gr.Button("ایجاد ویدئو جدید")
        download_link = gr.HTML(label="لینک دانلود")
        btn.click(
            fn=main,
            inputs=[video_file_input, parameters],
            outputs=[progress_output, download_link],
            concurrency_limit=4,
        )

demo.launch(debug=True)