1

app.py

@@ -73,8 +73,11 @@ def get_answers_timestamp(question, final_transcript, transcript):
   start_timestamp = round(start_timestamp)
 
   return start_timestamp
-  
-  
+
+def set_example_question(example: list) -> dict:
+    return gr.Image.update(value=example[0])
+    
+    
 def display_vid(url, question):
   print("******** display_vid ********")
   #https://www.youtube.com/watch?v=smUHQndcmOY&t=425s
@@ -121,11 +124,19 @@ with demo:
     input_ques = gr.Textbox(label="Ask a Question")
     output_vid = gr.HTML(label="Video will play at the answer timestamp")
   
+  with gr.Row():
+    gr.Radio(["Does video talk about different modalities", "Can the model do classification", "Does the model pushes state of the art in image classification", "Is deepmind copying openai", "Is flamingo good enough", "Has flamingo passed andre karpathy challenge yet?", "Are there cool examples from flamingo in the video?", "Does the video talk about cat?", "Any funny examples in video?"], label= "Choose a sample Question")
+    #paths = sorted(pathlib.Path('images').glob('*.jpg'))
+    #example_images = gr.Dataset(components=[input_image],
+    #                            samples=[[path.as_posix()]
+    #                                     for path in paths])
+                                         
   b1 = gr.Button("Publish Video")
   #b2 = gr.Button("Generate Image")
 
   b1.click(display_vid, inputs=[input_url,input_ques], outputs=output_vid)
   #b2.click(poem_to_image, poem_txt, output_image)
   #examples=examples
+  
 
 demo.launch(enable_queue=True, debug=True)