Demo lista: añado peso best.pt y app.py final

app.py

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+import gradio as gr, tempfile, shutil, os
+from ultralytics import YOLO
+
+model = YOLO('best.pt')
+
+def infer(video):
+    tmp = tempfile.mkdtemp()
+    inp = os.path.join(tmp, "in.mp4")
+    shutil.copy(video, inp)
+    res = model.predict(source=inp, save=True, conf=0.25, iou=0.45)
+    return os.path.join(res.save_dir, "in.mp4")
+
+demo = gr.Interface(
+    fn=infer,
+    inputs=gr.Video(label="Sube tu video de inspección"),
+    outputs=gr.Video(label="Video con defectos detectados"),
+    title="Kesherat · Inspección de palas eólicas",
+    auth=[("admin","TuPassSecreta")]
+)
+
+if __name__ == "__main__":
+    demo.launch()

best.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:5ad65ce6ac661119de11077619c2e785958f5a3d1e029452d18a57c7407db3c6
+size 136764521

requirements.txt

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+ultralytics==8.2.0
+gradio>=4.0
+opencv-python-headless
+huggingface_hub