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app.py

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+import gradio as gr
+import whisper
+import yt_dlp
+from moviepy.editor import VideoFileClip
+import os
+import uuid
+
+model = whisper.load_model("base")
+
+def download_video(url):
+    ydl_opts = {
+        'format': 'best',
+        'outtmpl': 'downloaded_video.%(ext)s',
+    }
+    with yt_dlp.YoutubeDL(ydl_opts) as ydl:
+        info = ydl.extract_info(url, download=True)
+        return ydl.prepare_filename(info)
+
+def process_video(url):
+    video_path = download_video(url)
+    result = model.transcribe(video_path)
+    transcript = result['text']
+
+    clip = VideoFileClip(video_path).subclip(0, 30)  # Clip corto de 30s
+    output_path = f"clip_{uuid.uuid4().hex}.mp4"
+    clip.write_videofile(output_path, codec="libx264", audio_codec="aac")
+
+    return output_path, transcript
+
+demo = gr.Interface(fn=process_video, 
+                    inputs=gr.Textbox(label="YouTube URL"), 
+                    outputs=[gr.Video(label="Clip generado"), gr.Textbox(label="Transcripción")])
+
+demo.launch()

requirements.txt

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+gradio
+openai-whisper
+yt-dlp
+moviepy
+ffmpeg-python