Update app.py

app.py

@@ -61,42 +61,24 @@ def assistant(*audio_answers):
     score = ask_questions(text_answers)
     return summarized_text, f"Your score is: {score}/{len(questions)}", text_answers  # Return text_answers as well
 
-# Create the Gradio Blocks interface with button click
-
-def update():
-    audio_answers = [audio.value for audio in inp]  # Using inp as it collects all the audio inputs
-    
-    # Check if all questions have been answered
-#    if None in audio_answers:
-#        out_last_transcription.value = "Please answer all the questions before clicking Run."
-#        out_score.value = ""
-#        return
-
-    # Handling the three returned values from the assistant function
-    summarized_text, score_string, text_answers = assistant(*audio_answers)
-    out_last_transcription.value = summarized_text  # Displaying the summarized text
-    out_score.value = score_string  # Displaying the score
 
 with gr.Blocks() as demo:
     gr.Markdown("Start recording your responses below and then click **Run** to see the transcription and your score.")
     
-    # Clearly initializing Inputs and Outputs lists for the button click
-    inp = []
-    
     # Using Column to nest questions
     with gr.Column(scale=1, min_width=600):
+        inp = []
         for i, question in enumerate(questions):
             gr.Markdown(f"**Question {i+1}:** {question}")
             audio_input = gr.Audio(source="microphone")
             inp.append(audio_input)
     
-    # Two output textboxes: one for the last transcribed answer and another for the score
+    # Output textboxes for the last transcribed answer and the score
     out_last_transcription = gr.Textbox(label="Last Transcribed Answer", placeholder="Last transcribed answer will appear here.")
     out_score = gr.Textbox(label="Score", placeholder="Your score will appear here.")
     
-    # Button with click event
-    btn = gr.Button("Run")
-    btn.click(fn=update, inputs=inp, outputs=[out_last_transcription, out_score])
+    # Button to run the assistant function
+    gr.Button(value="Run", function=assistant, inputs=inp, outputs=[out_last_transcription, out_score])
 
 
 demo.launch()