First commit

app.py

@@ -11,7 +11,10 @@ def install_mamba():
     #subprocess.run(shlex.split("pip install numpy==1.26.4"))
 
 def clone_github():
-    subprocess.run("git clone https://RoyChao19477:[email protected]/RoyChao19477/for_HF_AVSEMamba.git")
+    subprocess.run([
+        "git", "clone",
+        f"https://RoyChao19477:{os.environ['GITHUB_TOKEN']}@github.com/RoyChao19477/for_HF_AVSEMamba.git"
+    ])
 
 install_mamba()
 clone_github()
@@ -34,6 +37,22 @@ import matplotlib.pyplot as plt
 from models.stfts    import mag_phase_stft, mag_phase_istft
 from models.generator import SEMamba
 from models.pcs400   import cal_pcs
+from ultralytics import YOLO
+import supervision as sv
+
+
+
+def dummy_fn(video):
+    return video
+
+model = YOLO("yolov8n.pt")  # or a face-specific checkpoint
+results = model.predict("input_frame.jpg")[0]
+
+# Filter only face (class 0 in COCO = 'person'; need a face-detection specific model if you want more precision)
+faces = [b for b in results.boxes if b.cls == 0]
+
+gr.Interface(fn=dummy_fn, inputs=gr.Video(source="webcam"), outputs="video").launch()kkkkkj
+
 
 ckpt = "ckpts/SEMamba_advanced.pth"
 cfg_f = "recipes/SEMamba_advanced.yaml"