Update app.py

app.py

@@ -1,15 +1,10 @@
 import gradio as gr
 import os
-import requests
-import re
 from openai import OpenAI
 
 # Initialize OpenAI API client with API key
 client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
 
-# Set the ElevenLabs API key using an environment variable
-elevenlabs_api_key = os.getenv("ELEVENLABS_API_KEY")
-
 # Define the function that generates the speech
 def generate_speech(input_text):
     # Build completion with OpenAI
@@ -25,39 +20,20 @@ def generate_speech(input_text):
     # Extract generated text (response by the assistant) from OpenAI's API response
     message_content = completion.choices[0].message.content.strip()  # Remove whitespace from the ends
 
-    # Prepare the text for TTS conversion (you may want to process the text further)
-    text_to_speech = message_content
-
-    # ElevenLabs TTS API settings and request
-    url = "https://api.elevenlabs.io/v1/text-to-speech/eIH76iW9yjOWnOKIkd6y/stream"
-    headers = {
-        "Accept": "audio/mpeg",
-        "Content-Type": "application/json",
-        "xi-api-key": elevenlabs_api_key
-    }
-    data = {
-  "text": text_to_speech,
-  "model_id": "eleven_multilingual_v2",
-  "voice_settings": {
-    "stability": 1.0,
-    "similarity_boost": 1.0,
-    "excitement": 0.9,
-    "speed": 1.1, 
-    "volume": 80,
-    "pitch": 2.0,
-    "breathiness": 0.8,
-    "voice_id": "eIH76iW9yjOWnOKIkd6y"
-  	  }
-    }
-
-    response = requests.post(url, json=data, headers=headers)
-
-    # Return the response content directly if successful, otherwise print error details
-    if response.status_code == 200:
-        return response.content
-    else:
-        print("Error with ElevenLabs API:", response.status_code, response.text)
-        raise Exception(f"Failed to generate speech, status code: {response.status_code}, response: {response.text}")
+    # OpenAI TTS synthesis
+    try:
+        response = client.voice.create(
+              model="tts-1",
+              voice="alloy",
+              text=message_content
+            )
+            
+        # Return the audio file URL if successful
+        audio_url = response['url']
+        return audio_url
+    except Exception as e:
+        print("Error with OpenAI TTS API:", e)
+        raise Exception(f"Failed to generate speech: {e}")
 
 # Define the Gradio interface
 iface = gr.Interface(