Update app.py

app.py

@@ -10,6 +10,9 @@ VIDEOS_DICT = {
     'video_1': 'IMG_0559.mov',
 }
 
+OBJECT_COUNTER = None
+OBJECT_COUNTER1 = None
+
 # Your videos will start appearing inside streamlit webapp 'Choose a video'.
 
 # Define the Gradio interface
@@ -42,11 +45,11 @@ def _display_detected_frames(conf, model, st_count, st_frame, image):
     
     inText = 'Vehicle In'
     outText = 'Vehicle Out'
-    if config.OBJECT_COUNTER1 != None:
-        for _, (key, value) in enumerate(config.OBJECT_COUNTER1.items()):
+    if OBJECT_COUNTER1 != None:
+        for _, (key, value) in enumerate(OBJECT_COUNTER1.items()):
             inText += ' - ' + str(key) + ": " +str(value)
-    if config.OBJECT_COUNTER != None:
-        for _, (key, value) in enumerate(config.OBJECT_COUNTER.items()):
+    if OBJECT_COUNTER != None:
+        for _, (key, value) in enumerate(OBJECT_COUNTER.items()):
             outText += ' - ' + str(key) + ": " +str(value)
     
     # Plot the detected objects on the video frame
@@ -79,8 +82,8 @@ def infer_uploaded_video(conf, model):
         if st.button("Execution"):
             with st.spinner("Running..."):
                 try:
-                    config.OBJECT_COUNTER1 = None
-                    config.OBJECT_COUNTER = None
+                    OBJECT_COUNTER1 = None
+                    OBJECT_COUNTER = None
                     tfile = tempfile.NamedTemporaryFile()
                     tfile.write(source_video.read())
                     vid_cap = cv2.VideoCapture(