Update app.py

app.py

@@ -47,7 +47,6 @@ def transcribe(audio_path):
         text = model.stt_file(audio_file)[0]
     return text
 
-# Inference function using Hugging Face InferenceClient
 # Inference function using Hugging Face InferenceClient
 @spaces.GPU(duration=120)
 def model(text):
@@ -63,7 +62,7 @@ def model(text):
         do_sample=True,
         seed=42,
     )
-    formatted_prompt = system_instructions + text + "[CrucialCoach]"
+    formatted_prompt = system_instructions + text + "[OralCoach]"
     stream = client.text_generation(
         formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
     output = ""
@@ -80,7 +79,7 @@ async def generate_audio_feedback(feedback_text):
         await communicate.save(tmp_path)
     return tmp_path
 
-#generate feedback
+# Generating feedback for the Oral Coach
 async def generate_feedback(user_id, question_choice, strategy_choice, message, feedback_level):
     current_question_index = thinkingframes.questions.index(question_choice)
     strategy, explanation = thinkingframes.strategy_options[strategy_choice]
@@ -174,15 +173,6 @@ 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):
@@ -268,4 +258,4 @@ with gr.Blocks(title="Oral Coach powered by ZeroGPU⚡ϞϞ(๑⚈ ․̫ ⚈๑)
     create_teachers_dashboard_tab()
 
 demo.queue(max_size=20)
-demo.launch()
+demo.launch(share=False)