Set up FastAPI for loom-dl

app.py

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+from fastapi import FastAPI, HTTPException
+from pydantic import BaseModel
+import subprocess
+
+app = FastAPI()
+
+class VideoRequest(BaseModel):
+    url: str
+    output_path: str = "out/video.mp4"
+
+@app.post("/download")
+def download_video(request: VideoRequest):
+    result = subprocess.run(['python3', 'loom-dl.py', request.url, '-o', request.output_path], capture_output=True, text=True)
+    
+    if result.returncode == 0:
+        return {"message": "Download successful!", "output_path": request.output_path}
+    else:
+        raise HTTPException(status_code=500, detail=f"Error: {result.stderr}")
+
+if __name__ == "__main__":
+    import uvicorn
+    uvicorn.run(app, host="0.0.0.0", port=8000)

loom-dl.py

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+import gradio as gr
+import subprocess
+
+def download_loom_video(url):
+    output_path = "out/video.mp4"
+    result = subprocess.run(['python3', 'loom-dl.py', url, '-o', output_path], capture_output=True, text=True)
+    
+    if result.returncode == 0:
+        return "Download successful!", output_path
+    else:
+        return f"Error: {result.stderr}", None
+
+iface = gr.Interface(
+    fn=download_loom_video,
+    inputs="text",
+    outputs=["text", "file"],
+    title="Loom Video Downloader",
+    description="Enter the Loom video URL to download it as an MP4 file."
+)
+
+if __name__ == "__main__":
+    iface.launch()

requirements.txt

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+gradio
+requests
+fastapi
+uvicorn
+