1

app.py

@@ -74,7 +74,7 @@ def get_answers_timestamp(question, final_transcript, transcript):
 
   return start_timestamp
 
-def set_example_question(example: list) -> dict:
+def set_example_question(example):
     return gr.Image.update(value=example[0])
     
     
@@ -99,17 +99,10 @@ def display_vid(url, question):
   html_out = "<iframe width='560' height='315' src='https://www.youtube.com/embed/" + video_id + "?start=" + str(ans_timestamp) + "' title='YouTube video player' frameborder='0' allow='accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture' allowfullscreen></iframe>"
   print(f"html output is : {html_out}")
   
-  #"<iframe width='560' height='315' src='https://www.youtube.com/embed/smUHQndcmOY&t?start=215' title='YouTube video player' frameborder='0' allow='accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture' allowfullscreen></iframe>"
-  
-  #<iframe width="560" height="315" src="https://www.youtube.com/embed/smUHQndcmOY?start=402" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
-  #vid = YouTubeVideo('smUHQndcmOY&t=425s')
   return html_out
-  
-  #https://youtu.be/smUHQndcmOY
-def fun(url):
-  return gr.Video(value=url)
-
 
+def set_example_question(example):
+    return gr.Radio.update(value=example[0])
 
 demo = gr.Blocks()
 
@@ -125,12 +118,24 @@ with demo:
     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")
+    example_question = gr.Dataset(
+                    samples=[
+                    ["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 challnge yet?"],
+                    ["Are there cool examples from flamingo in the video?"],
+                    ["Does the video talk about cat?"], 
+                    ["Any funny examples in video?"]])
+    #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])
-                                         
+  example_styles.click(fn=set_example_question, inputs=example_question, outputs= input_url) #example_styles.components)
+                                                                    
   b1 = gr.Button("Publish Video")
   #b2 = gr.Button("Generate Image")