make inference via APIs default in prompts

app.py

@@ -345,21 +345,21 @@ with gr.Blocks() as demo:
         with gr.Column(scale=4):
             url = gr.Textbox(label="Enter YouTube video URL here:",placeholder="https://www.youtube.com/watch?v=")
         with gr.Column(scale=1):
-            api_token = gr.Textbox(label="Paste your Hugging Face API token here:",placeholder="hf_...",visible=False,show_label=True,info='The API token passed via this field is not stored. It is only passed through the Hugging Face Hub API for inference.')
+            api_token = gr.Textbox(label="Paste your Hugging Face API token here (optional):",placeholder="hf_...",visible=False,show_label=True,info='The API token passed via this field is not stored. It is only passed through the Hugging Face Hub API for inference.')
         with gr.Column(scale=1):
             sum_btn = gr.Button("Summarize!")
 
     with gr.Accordion("Transcription Settings",open=False):
         with gr.Row():
             force_transcribe = gr.Checkbox(label="Transcribe even if transcription is available.", info='If unchecked, the app attempts to download the transcript from YouTube first. Check this if the transcript does not seem accurate.')
-            use_transcribe_api = gr.Checkbox(label="Transcribe using the HuggingFaceHub API.",visible=False)
+            use_transcribe_api = gr.Checkbox(label="Transcribe using the HuggingFaceHub API.",value=True,visible=False)
         
     with gr.Accordion("Summarization Settings",open=False):
         with gr.Row():
-            use_llm_api = gr.Checkbox(label="Summarize using the HuggingFaceHub API.",visible=True)
+            use_llm_api = gr.Checkbox(label="Summarize using the HuggingFaceHub API.",value=True,visible=True)
             do_sample = gr.Checkbox(label="Set the Temperature",value=True,visible=True)
-            temperature = gr.Slider(minimum=0,maximum=1,value=0.9,label="Generation temperature",visible=True)
-            words = gr.Slider(minimum=100,maximum=500,value=250,label="Length of the summary")
+            temperature = gr.Slider(minimum=0,maximum=1,value=1.0,label="Generation temperature",visible=True)
+            words = gr.Slider(minimum=100,maximum=500,value=150,label="Length of the summary")
             
     gr.Markdown("# Results")