Update app.py

app.py

@@ -1,14 +1,12 @@
 import gradio as gr
-import pyttsx3
+from gtts import gTTS
 from transformers import pipeline
 import whisper
+import os
 
 # Initialize Whisper Model
 model = whisper.load_model("base")
 
-# Initialize Text-to-Speech
-engine = pyttsx3.init()
-
 # Load NLP Model
 nlp_pipeline = pipeline("text-classification", model="distilbert-base-uncased-finetuned-sst-2-english")
 
@@ -30,7 +28,7 @@ def speech_to_text(audio):
     except Exception as e:
         return f"Error: {str(e)}"
 
-# NLP Intent Detection
+# Process Order and Generate Response
 def process_order(transcription):
     items = []
     total_cost = 0
@@ -45,15 +43,17 @@ def process_order(transcription):
     else:
         response = "Sorry, I could not find any menu items in your order."
 
-    # Text-to-Speech for Response
-    engine.say(response)
-    engine.runAndWait()
-    return response
+    # Generate TTS Audio
+    tts = gTTS(text=response, lang="en")
+    audio_path = "response.mp3"
+    tts.save(audio_path)
+    return response, audio_path
 
 # Gradio Interface
 def order_from_audio(audio):
     transcription = speech_to_text(audio)
-    return transcription, process_order(transcription)
+    response, audio_path = process_order(transcription)
+    return transcription, response, audio_path
 
 # Gradio UI
 app = gr.Interface(
@@ -62,6 +62,7 @@ app = gr.Interface(
     outputs=[
         gr.Textbox(label="Transcription"),
         gr.Textbox(label="Order Confirmation"),
+        gr.Audio(label="TTS Response"),
     ],
     title="Voice Ordering System",
     description="Speak your order, and the system will process it.",