Update app.py

app.py

@@ -1,5 +1,4 @@
 import gradio as gr
-import asyncio
 import os
 import thinkingframes
 import soundfile as sf
@@ -13,15 +12,12 @@ from utils import get_image_html, collect_student_info
 from database_functions import add_user_privacy, add_submission
 from tab_teachers_dashboard import create_teachers_dashboard_tab
 from config import CLASS_OPTIONS
-from concurrent.futures import ThreadPoolExecutor
 import spaces
 from streaming_stt_nemo import Model
 import edge_tts
 import tempfile
 
-# Ensure dependencies are installed
-os.system("pip install streaming-stt-nemo edge_tts")
-
+# Load environment variables
 load_dotenv()
 
 default_lang = "en"
@@ -36,8 +32,6 @@ llm = gr.load("meta-llama/Meta-Llama-3-8B", src="models")
 image_path = "picturePerformance.jpg"
 img_html = get_image_html(image_path)
 
-executor = ThreadPoolExecutor()
-
 @spaces.GPU(duration=120)
 def transcribe(audio):
     lang = "en"
@@ -58,7 +52,6 @@ def generate_feedback(user_id, question_choice, strategy_choice, message, feedba
         "content": message
     }]
 
-    # Use the loaded model for generating feedback
     feedback = llm(conversation)[0]["generated_text"]
 
     questionNo = current_question_index + 1
@@ -115,7 +108,6 @@ def predict(question_choice, strategy_choice, feedback_level, audio):
         logging.error(f"An error occurred: {str(e)}", exc_info=True)
         return [("Oral Coach ⚡ϞϞ(๑⚈ ․̫ ⚈๑)∩ ⚡", "An error occurred. Please try again or seek assistance.")], current_audio_output
 
-# Modify the toggle_oral_coach_visibility function to call add_user_privacy and store the returned user_id in user_state.value
 def toggle_oral_coach_visibility(class_name, index_no, policy_checked):
     if not policy_checked:
         return "Please agree to the Things to Note When using the Oral Coach ⚡ϞϞ(๑⚈ ․̫ ⚈๑)∩ ⚡ before submitting.", gr.update(visible=False)
@@ -174,7 +166,4 @@ with gr.Blocks(title="Oral Coach powered by ZeroGPU⚡ϞϞ(๑⚈ ․̫ ⚈๑)
     create_teachers_dashboard_tab()
 
 demo.queue(max_size=20)
-demo.launch(
-    debug=True,
-    favicon_path="favicon.ico"
-)
+demo.launch()