Update app.py

app.py

@@ -101,6 +101,34 @@ def detect_video(video):
     # Release resources
     cap.release()
 
+
+def show_preds_video(video_path):
+    cap = cv2.VideoCapture(video_path)
+    while(cap.isOpened()):
+        ret, frame = cap.read()
+        if ret:
+            frame_copy = frame.copy()
+            outputs = detection_model.predict(source=frame)
+            results = outputs[0].cpu().numpy()
+            for i, det in enumerate(results.boxes.xyxy):
+                cv2.rectangle(
+                    frame_copy,
+                    (int(det[0]), int(det[1])),
+                    (int(det[2]), int(det[3])),
+                    color=(0, 0, 255),
+                    thickness=2,
+                    lineType=cv2.LINE_AA
+                )
+            yield cv2.cvtColor(frame_copy, cv2.COLOR_BGR2RGB)
+ 
+inputs_video = [
+    gr.components.Video(type="filepath", label="Input Video"),
+ 
+]
+outputs_video = [
+    gr.components.Image(type="numpy", label="Output Image"),
+]
+
 label_id_offset = 0    
 REPO_ID = "apailang/mytfodmodel"
 detection_model = load_model()
@@ -138,16 +166,26 @@ a = os.path.join(os.path.dirname(__file__), "data/a.mp4")  # Video
 b = os.path.join(os.path.dirname(__file__), "data/b.mp4")  # Video
 c = os.path.join(os.path.dirname(__file__), "data/c.mp4")  # Video
 
+
+# interface_video = gr.Interface(
+#     fn=show_preds_video,
+#     inputs=inputs_video,
+#     outputs=outputs_video,
+#     title="Pothole detector",
+#     examples=video_path,
+#     cache_examples=False,
+# )
+
 stt_demo = gr.Interface(
-    fn=detect_video, #detect_video
-    inputs=gr.Video(),
-    #outputs=gr.Video(),
+    fn=show_preds_video,
+    inputs=inputs_video,
+    outputs=outputs_video,
     examples=[
         [a],
         [b],
         [c],
     ],
-    cache_examples=True
+    cache_examples=False
 )
 demo = gr.TabbedInterface([tts_demo, stt_demo], ["Image", "Video"])