Update app.py

app.py

@@ -112,12 +112,13 @@ def process_video():
 
         for frame_index, frame in enumerate(frames):
             input_tensor = tf.image.resize_with_pad(tf.convert_to_tensor(frame, dtype=tf.uint8), 256, 256)
-            input_tensor = tf.cast(input_tensor, dtype=tf.float32)
+            input_tensor = tf.cast(input_tensor, dtype=tf.int32)  # Cast to int32 instead of float32
             input_tensor = tf.expand_dims(input_tensor, axis=0)
             keypoints = movenet_model.signatures['serving_default'](input_tensor)
             keypoints_3d = keypoints['output_0'][0].numpy().tolist()  # Assuming the model returns 3D keypoints
             movenet_results.append(keypoints_3d)
 
+
             # Detect stance based on keypoints (using ankles and wrists)
             left_ankle = keypoints_3d[KEYPOINT_DICT['left_ankle']]
             right_ankle = keypoints_3d[KEYPOINT_DICT['right_ankle']]