Update app.py

app.py

@@ -13,23 +13,21 @@ recognizer = sr.Recognizer()
 device = "cuda" if torch.cuda.is_available() else "cpu"
 speech_to_text = pipeline("automatic-speech-recognition", model="openai/whisper-base", device=0 if device == "cuda" else -1)
 
-# Function to generate and play voice prompts
+# Function to generate and save voice prompts
 def generate_audio(text, filename):
     tts = gTTS(text=text, lang="en")
     tts.save(filename)
 
+# Generate all prompts before starting
+generate_audio("Welcome to Biryani Hub.", "static/welcome.mp3")
+generate_audio("Tell me your name.", "static/ask_name.mp3")
+generate_audio("Please provide your email.", "static/ask_email.mp3")
+generate_audio("Thank you for registration.", "static/thank_you.mp3")
+
 @app.route("/")
 def home():
     return render_template("index.html")
 
-@app.route("/start_interaction")
-def start_interaction():
-    generate_audio("Welcome to Biryani Hub.", "static/welcome.mp3")
-    generate_audio("Tell me your name.", "static/ask_name.mp3")
-    generate_audio("Please provide your email.", "static/ask_email.mp3")
-    generate_audio("Thank you for registration.", "static/thank_you.mp3")
-    return jsonify({"status": "Audio prompts generated"})
-
 @app.route("/process_audio", methods=["POST"])
 def process_audio():
     if "audio" not in request.files: