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Update app.py
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app.py
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from fastapi.responses import FileResponse
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from fastapi.openapi.docs import get_swagger_ui_html
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import subprocess
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import uuid
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import os
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#
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@app.get("/")
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def health():
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return {"status": "ok", "ffmpeg": True}
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# -------- Custom Swagger /docs --------
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@app.get("/docs", include_in_schema=False)
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def custom_swagger():
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return get_swagger_ui_html(openapi_url="/openapi.json", title="FFmpeg API Docs")
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# -------- Trim Video Endpoint --------
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@app.post("/trim")
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async def trim(
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file: UploadFile = File(...),
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start: float = 0,
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duration: float = 5
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):
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input_path = f"/tmp/{uuid.uuid4()}_in.mp4"
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output_path = f"/tmp/{uuid.uuid4()}_out.mp4"
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#
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with open(input_path, "wb") as f:
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f.write(
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# FFmpeg Befehl ausführen
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cmd = [
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"ffmpeg",
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"-ss", str(start),
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"-i", input_path,
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"-t", str(duration),
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]
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subprocess.run(cmd, check=True)
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import gradio as gr
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import subprocess
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import uuid
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import os
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# -------- Video Trim Funktion --------
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def trim_video(file, start, duration):
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# Pfade für temporäre Dateien
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input_path = f"/tmp/{uuid.uuid4()}_in.mp4"
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output_path = f"/tmp/{uuid.uuid4()}_out.mp4"
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# Video speichern
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with open(input_path, "wb") as f:
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f.write(file.read())
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# FFmpeg Befehl ausführen
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cmd = [
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"ffmpeg",
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"-y",
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"-ss", str(start),
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"-i", input_path,
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"-t", str(duration),
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]
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subprocess.run(cmd, check=True)
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return output_path
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# -------- Gradio Interface --------
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iface = gr.Interface(
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fn=trim_video,
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inputs=[
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gr.File(label="Video hochladen", file_types=[".mp4"]),
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gr.Number(label="Startzeit (Sekunden)", value=0),
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gr.Number(label="Dauer (Sekunden)", value=5)
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],
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outputs=gr.Video(label="Getrimmtes Video"),
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title="FFmpeg Video Editor",
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description="Trimme Videos direkt im Hugging Face Space"
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)
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# -------- Starten des Servers --------
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iface.launch(server_name="0.0.0.0", server_port=7860)
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