Update app.py

app.py

@@ -168,15 +168,6 @@ async def predict(question_choice, strategy_choice, feedback_level, audio):
         chat_history.append(("Oral Coach  ⚡ ϞϞ(๑⚈ ․̫ ⚈๑)∩ ⚡", "Transcription complete. Generating feedback. Please continue listening to your oral response while waiting ..."))
         yield chat_history, current_audio_output
 
-        moderation_response = client.moderations.create(input=student_response)
-        flagged = any(result.flagged for result in moderation_response.results)
-        if flagged:
-            moderated_message = "The message has been flagged. Please see your teacher to clarify."
-            questionNo = thinkingframes.questions.index(question_choice) + 1
-            add_submission(int(user_state.value), moderated_message, "", int(0), "", questionNo)
-            yield chat_history, current_audio_output
-            return
-
         accumulated_feedback = ""  # Variable to store the accumulated feedback
 
         async for feedback_chunk in generate_feedback(int(user_state.value), question_choice, strategy_choice, student_response, feedback_level):
@@ -196,6 +187,7 @@ async def predict(question_choice, strategy_choice, feedback_level, audio):
         logging.error(f"An error occurred: {str(e)}", exc_info=True)
         yield [("Oral Coach  ⚡ ϞϞ(๑⚈ ․̫ ⚈๑)∩ ⚡", "An error occurred. Please try again or seek assistance.")], current_audio_output
 
+
 with gr.Blocks(title="Oral Coach powered by ZeroGPU⚡ϞϞ(๑⚈ ․̫ ⚈๑)∩ ⚡ and Meta AI 🦙 (LLama3)", theme=theme, css="footer {visibility: hidden}textbox{resize:none}") as demo:    
     with gr.Tab("Oral Coach  ⚡ ϞϞ(๑⚈ ․̫ ⚈๑)∩ ⚡"):
         gr.Markdown("## Student Information")