Update app.py

app.py

@@ -1,18 +1,17 @@
 import gradio as gr
 import whisper
-import time
+import torch
 import os
 
-# Load Whisper ASR Model
+# Suppress Torch Warnings
+torch.serialization._legacy_load = torch.load  # Suppresses `torch.load` warnings
+
+# Load Whisper Model
 model = whisper.load_model("base")
 
 # Store User Data
 user_data = {"name": "", "email": ""}
 
-# Function to Play Welcome Message
-def welcome_message():
-    return "Welcome to Biryani Hub. Tell me your name."
-
 # Function to Capture Name
 def capture_name(audio):
     global user_data
@@ -21,7 +20,8 @@ def capture_name(audio):
 
     # Save the audio
     audio_path = "name.wav"
-    audio.export(audio_path, format="wav")
+    with open(audio_path, "wb") as f:
+        f.write(audio)  # Save audio from Gradio
 
     # Convert Speech to Text
     result = model.transcribe(audio_path)
@@ -37,7 +37,8 @@ def capture_email(audio):
 
     # Save the audio
     audio_path = "email.wav"
-    audio.export(audio_path, format="wav")
+    with open(audio_path, "wb") as f:
+        f.write(audio)  # Save audio from Gradio
 
     # Convert Speech to Text
     result = model.transcribe(audio_path)
@@ -49,18 +50,15 @@ def capture_email(audio):
 with gr.Blocks() as demo:
     gr.Markdown("# 🎙️ Voice-Enabled Restaurant Menu - Biryani Hub")
     
-    # Welcome Message
-    welcome = gr.Textbox(value=welcome_message(), interactive=False)
-
     # Step 1: Capture Name
     gr.Markdown("### 🗣️ Step 1: Say Your Name")
-    name_input = gr.Audio(source="microphone", type="file")
+    name_input = gr.Audio(type="filepath")  # FIXED!
     name_output = gr.Textbox()
     name_button = gr.Button("Submit Name")
 
     # Step 2: Capture Email
     gr.Markdown("### 📧 Step 2: Say Your Email")
-    email_input = gr.Audio(source="microphone", type="file")
+    email_input = gr.Audio(type="filepath")  # FIXED!
     email_output = gr.Textbox()
     email_button = gr.Button("Submit Email")