Update app.py

app.py

@@ -1,72 +1,42 @@
 import gradio as gr
-from gtts import gTTS
-from transformers import pipeline
-import whisper
-import os
-
-# Initialize Whisper Model
-model = whisper.load_model("base")
-
-# Load NLP Model
-nlp_pipeline = pipeline("text-classification", model="distilbert-base-uncased-finetuned-sst-2-english")
-
-# Define Menu
-MENU = {
-    "biryani": 200,
-    "naan": 50,
-    "curry": 150,
-    "paneer": 180,
-    "samosa": 20,
-}
-
-# Speech-to-Text Function
-def speech_to_text(audio):
-    try:
-        audio_path = audio
-        result = model.transcribe(audio_path)
-        return result["text"]
-    except Exception as e:
-        return f"Error: {str(e)}"
-
-# Process Order and Generate Response
-def process_order(transcription):
-    items = []
-    total_cost = 0
-
-    for item in MENU.keys():
-        if item in transcription.lower():
-            items.append(item)
-            total_cost += MENU[item]
-
-    if items:
-        response = f"You've ordered: {', '.join(items)}. Total cost is ₹{total_cost}."
-    else:
-        response = "Sorry, I could not find any menu items in your order."
+        return f"Command not recognized: {command}"
+
+# Define Gradio interfaces
+menu_interface = gr.Interface(
+    fn=get_menu,
+    inputs=None,
+    outputs="json",
+    description="Get the menu."
+)
 
-    # Generate TTS Audio
-    tts = gTTS(text=response, lang="en")
-    audio_path = "response.mp3"
-    tts.save(audio_path)
-    return response, audio_path
+order_interface = gr.Interface(
+    fn=place_order,
+    inputs=["text", "text"],
+    outputs="text",
+    description="Place an order by providing a comma-separated list of items and customizations."
+)
 
-# Gradio Interface
-def order_from_audio(audio):
-    transcription = speech_to_text(audio)
-    response, audio_path = process_order(transcription)
-    return transcription, response, audio_path
+speak_interface = gr.Interface(
+    fn=text_to_speech,
+    inputs="text",
+    outputs="text",
+    description="Convert text to speech."
+)
 
-# Gradio UI
-app = gr.Interface(
-    fn=order_from_audio,
-    inputs=gr.Audio(source="microphone", type="filepath"),
-    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.",
+speech_recognition_interface = gr.Interface(
+    fn=live_speech,
+    inputs=None,
+    outputs="text",
+    description="Speak commands like 'Show menu' or 'Order Biryani'."
 )
 
+# Combine all interfaces
+app = gr.TabbedInterface([
+    menu_interface,
+    order_interface,
+    speak_interface,
+    speech_recognition_interface
+], ["Menu", "Order", "Speak", "Voice Commands"])
+
 if __name__ == "__main__":
-    app.launch()
+    app.launch()