changed task

app.py

@@ -6,6 +6,14 @@ import numpy as np
 from mediapipe import Image
 from mediapipe.tasks import python
 from mediapipe.tasks.python import vision
+import os
+import requests
+
+# Path to save the model locally inside the Space
+HAND_MODEL_PATH = "hand_landmarker.task"
+
+# URL to download from (official MediaPipe mirror)
+HAND_MODEL_URL = "https://storage.googleapis.com/mediapipe-models/hand_landmarker/hand_landmarker/float16/1/hand_landmarker.task"
 
 # ---------------------
 # Load YOLO model
@@ -46,6 +54,17 @@ def annotate_with_mediapipe(image_path):
     cv2.imwrite(annotated_path, img)
     return annotated_path
 
+def ensure_hand_model():
+    """Download the MediaPipe hand landmark model if not already present."""
+    if not os.path.exists(HAND_MODEL_PATH):
+        print("📥 Downloading MediaPipe hand landmark model...")
+        r = requests.get(HAND_MODEL_URL)
+        with open(HAND_MODEL_PATH, "wb") as f:
+            f.write(r.content)
+        print("✅ Download complete.")
+    else:
+        print("✅ MediaPipe hand landmark model already exists.")
+
 # ---------------------
 # Prediction function
 # ---------------------
@@ -86,4 +105,5 @@ demo = gr.Interface(
 )
 
 if __name__ == "__main__":
+    ensure_hand_model()
     demo.launch()

requirements.txt

@@ -0,0 +1,5 @@
+ultralytics
+torch
+gradio
+mediapipe
+requests