Update app.py

app.py

@@ -232,7 +232,7 @@ class VideoClassifier:
         #     except:
         #         transcript=self.audio_extraction_space(video_input)
 
-        if checkbox==True:
+        if checkbox=="Image Captions":
             start_time_caption = time.time()
             video = cv2.VideoCapture(video_input)
             length = int(video.get(cv2.CAP_PROP_FRAME_COUNT))
@@ -465,11 +465,13 @@ class VideoClassifier:
             ["Image Captions"], 
         )
         demo = gr.Interface(fn=self.classify_video, inputs=["playablevideo",checkbox],allow_flagging='never', examples=[
-                            os.path.join(os.path.dirname(__file__), 
-                                         "American_football_heads_to_India_clip.mp4"),os.path.join(os.path.dirname(__file__), "PersonalFinance_clip.mp4"),
-                                         os.path.join(os.path.dirname(__file__), "Motorcycle_clip.mp4"),
-                                         os.path.join(os.path.dirname(__file__), "Spirituality_1_clip.mp4"),
-                                         os.path.join(os.path.dirname(__file__), "Science_clip.mp4")], 
+        # Each example should be a sublist with corresponding values for each input component
+        [os.path.join(os.path.dirname(__file__), "American_football_heads_to_India_clip.mp4"), ["Image Captions"]],
+        [os.path.join(os.path.dirname(__file__), "PersonalFinance_clip.mp4"), ["Image Captions"]],
+        [os.path.join(os.path.dirname(__file__), "Motorcycle_clip.mp4"), ["Image Captions"]],
+        [os.path.join(os.path.dirname(__file__), "Spirituality_1_clip.mp4"), ["Image Captions"]],
+        [os.path.join(os.path.dirname(__file__), "Science_clip.mp4"), ["Image Captions"]],
+    ],
                         cache_examples=False, outputs=["text"],
                         css=css_code, title="Interactive Advertising Bureau (IAB) compliant Video-Ad classification")
         # demo.launch(debug=True)