Update app.py

app.py

@@ -4,6 +4,7 @@ import torch
 import speech_recognition as sr
 from transformers import pipeline
 from gtts import gTTS
+import time
 
 app = Flask(__name__)
 recognizer = sr.Recognizer()
@@ -13,7 +14,7 @@ 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
-def generate_audio(text, filename="static/output.mp3"):
+def generate_audio(text, filename):
     tts = gTTS(text=text, lang="en")
     tts.save(filename)
 
@@ -21,20 +22,23 @@ def generate_audio(text, filename="static/output.mp3"):
 def home():
     return render_template("index.html")
 
-@app.route("/get_prompt")
-def get_prompt():
-    generate_audio("Welcome to Biryani Hub. Please tell me your name.", "static/welcome.mp3")
-    return jsonify({"audio_url": "/static/welcome.mp3"})
+@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:
         return jsonify({"error": "No audio file"}), 400
-    
+
     audio_file = request.files["audio"]
     audio_path = "static/temp.wav"
     audio_file.save(audio_path)
-    
+
     try:
         text = speech_to_text(audio_path)["text"]
         return jsonify({"text": text})