Update app.py

app.py

@@ -1,14 +1,15 @@
+ # Install required libraries
 import os
 from io import BytesIO
 import gradio as gr
 from gtts import gTTS
 from pydub import AudioSegment
 import whisper
-import openai  # Using OpenAI as a replacement for Groq
+import openai
 
- GROQ_API_KEY = "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"
-
-client = Groq(api_key=GROQ_API_KEY)
+# Set up OpenAI API key
+os.environ["OPENAI_API_KEY"] = "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"
+openai.api_key = os.environ["OPENAI_API_KEY"]
 
 # Initialize models
 whisper_model = whisper.load_model("base")  # Load Whisper model
@@ -19,7 +20,7 @@ def voice_to_voice(audio):
     transcription_result = whisper_model.transcribe(audio, fp16=False)
     user_input = transcription_result["text"]
     
-    # 2. Get response from OpenAI's GPT (Replacing Groq's LLM)
+    # 2. Get response from OpenAI's GPT
     response = openai.ChatCompletion.create(
         model="gpt-4",
         messages=[{"role": "user", "content": user_input}],
@@ -43,7 +44,7 @@ def voice_to_voice(audio):
 # Gradio interface
 iface = gr.Interface(
     fn=voice_to_voice,
-    inputs=gr.Audio(type="filepath"),  # Removed 'source' argument
+    inputs=gr.Audio(type="filepath"),
     outputs=[gr.Textbox(label="Transcription"), gr.Audio(label="Response Audio")],
     live=True,
     title="Real-Time Voice-to-Voice Chatbot",
@@ -51,4 +52,5 @@ iface = gr.Interface(
 )
 
 # Launch Gradio app
-iface.launch()
+if __name__ == "__main__":
+    iface.launch()