Update app.py

app.py

@@ -1,51 +1,31 @@
 import os
 import gradio as gr
 import openai
-from openai import OpenAI
 import speech_recognition as sr
-import threading
 import time
 
-# Initialize OpenAI client with API key from environment variable
-client = OpenAI(api_key=os.environ.get("OPENAI_API_KEY"))
-
-# Create an assistant
-assistant = client.beta.assistants.create(
-    name="Pronunciation Assistant",
-    instructions="You are a helpful pronunciation assistant. You compare the generated text with the user's transcription and then provide feedback on how the user can improve their pronunciation accordingly. You also single out specific words they pronounced incorrectly and give tips on how to improve like for example 'schedule' can be pronounced as 'sked-jool'.",
-    model="gpt-4-1106-preview"
-)
+# Set OpenAI API key
+openai.api_key = os.environ.get("OPENAI_API_KEY")
 
 def generate_text():
-    response = client.chat.completions.create(
+    response = openai.ChatCompletion.create(
         model="gpt-3.5-turbo",
         messages=[
             {"role": "system", "content": "Generate a short paragraph (2-3 sentences) for an English learner to read aloud."},
             {"role": "user", "content": "Create a practice text."}
         ]
     )
-    return response.choices[0].message.content
+    return response.choices[0].message['content']
 
 def get_pronunciation_feedback(original_text, transcription):
-    thread = client.beta.threads.create()
-    
-    message = client.beta.threads.messages.create(
-        thread_id=thread.id,
-        role="user",
-        content=f"Original text: '{original_text}'\nTranscription: '{transcription}'\nProvide pronunciation feedback."
-    )
-    
-    run = client.beta.threads.runs.create(
-        thread_id=thread.id,
-        assistant_id=assistant.id
+    response = openai.ChatCompletion.create(
+        model="gpt-3.5-turbo",
+        messages=[
+            {"role": "system", "content": "You are a helpful pronunciation assistant. Compare the generated text with the user's transcription and provide feedback on how the user can improve their pronunciation. Single out specific words they pronounced incorrectly and give tips on how to improve, like for example 'schedule' can be pronounced as 'sked-jool'."},
+            {"role": "user", "content": f"Original text: '{original_text}'\nTranscription: '{transcription}'\nProvide pronunciation feedback."}
+        ]
     )
-    
-    while run.status != "completed":
-        time.sleep(1)
-        run = client.beta.threads.runs.retrieve(thread_id=thread.id, run_id=run.id)
-    
-    messages = client.beta.threads.messages.list(thread_id=thread.id)
-    return messages.data[0].content[0].text.value
+    return response.choices[0].message['content']
 
 def transcribe_audio_realtime(audio):
     recognizer = sr.Recognizer()
@@ -68,7 +48,7 @@ def practice_pronunciation(audio):
 demo = gr.Interface(
     fn=practice_pronunciation,
     inputs=[
-        gr.Audio(type="filepath")  # Removed 'source="microphone"'
+        gr.Audio(type="filepath")
     ],
     outputs=[
         gr.Textbox(label="Text to Read"),