Update app.py

app.py

@@ -1,35 +1,37 @@
-import gradio as gr
-import os
-import tempfile
-from Fight_detec_func import fight_detec
-from objec_detect_yolo import detection
-
-def analyze_video(video_file):
-    # Save uploaded file to temp location
-    temp_dir = tempfile.mkdtemp()
-    video_path = os.path.join(temp_dir, video_file.name)
-    with open(video_path, 'wb') as f:
-        f.write(video_file.read())
-    
-    # Run both detection functions
-    fight_result = fight_detec(video_path, debug=False)
-    yolo_result = detection(video_path)
-    
-    # Clean up
-    os.remove(video_path)
-    os.rmdir(temp_dir)
-    
-    return {
-        "Fight Detection": fight_result[0],
-        "YOLO Object Detection": yolo_result
-    }
-
-iface = gr.Interface(
-    fn=analyze_video,
-    inputs=gr.Video(label="Upload Video"),
-    outputs=gr.JSON(label="Detection Results"),
-    title="Fight and Object Detection System",
-    description="Upload a video to detect fights and objects using our AI models"
-)
-
-iface.launch()
+import gradio as gr
+import os
+import tempfile
+from Fight_detec_func import fight_detec
+from objec_detect_yolo import detection
+
+def analyze_video(video_file):
+    # Save uploaded file to temp location
+    def analyze_video(video_file):
+    temp_dir = "/tmp"
+    video_path = os.path.join(temp_dir, os.path.basename(video_file))  # ✅ fix
+    
+    with open(video_path, 'wb') as f:
+        f.write(video_file.read())
+    
+    # Run both detection functions
+    fight_result = fight_detec(video_path, debug=False)
+    yolo_result = detection(video_path)
+    
+    # Clean up
+    os.remove(video_path)
+    os.rmdir(temp_dir)
+    
+    return {
+        "Fight Detection": fight_result[0],
+        "YOLO Object Detection": yolo_result
+    }
+
+iface = gr.Interface(
+    fn=analyze_video,
+    inputs=gr.Video(label="Upload Video"),
+    outputs=gr.JSON(label="Detection Results"),
+    title="Fight and Object Detection System",
+    description="Upload a video to detect fights and objects using our AI models"
+)
+
+iface.launch()