Update app.py

app.py

@@ -49,13 +49,16 @@ except Exception as e:
 def index():
     return render_template("index.html")
 
-@app.route("/dashboard")
-def dashboard():
-    return render_template("dashboard.html")
-
 @app.route("/menu")
 def menu():
-    return render_template("menu.html")
+    menu_items = [
+        {"id": 1, "name": "Chicken Biryani", "price": 250},
+        {"id": 2, "name": "Mutton Biryani", "price": 350},
+        {"id": 3, "name": "Veg Biryani", "price": 200},
+        {"id": 4, "name": "Paneer Butter Masala", "price": 180},
+        {"id": 5, "name": "Butter Naan", "price": 50}
+    ]
+    return render_template("menu_page.html", menu_items=menu_items)
 
 @app.route("/cart")
 def cart():
@@ -94,51 +97,5 @@ def submit():
     except Exception as e:
         return jsonify({'error': str(e)}), 500
 
-@app.route("/login", methods=["POST"])
-def login():
-    data = request.json
-    name = data.get('name')
-    email = data.get('email')
-    phone_number = data.get('phone_number')
-
-    if not name or not email or not phone_number:
-        return jsonify({'error': 'Missing required fields'}), 400
-
-    try:
-        customer_login = sf.Customer_Login__c.create({
-            'Name': name,
-            'Email__c': email,
-            'Phone_Number__c': phone_number
-        })
-        return jsonify({'success': True, 'id': customer_login['id']}), 200
-    except Exception as e:
-        return jsonify({'error': f'Failed to create record in Salesforce: {str(e)}'}), 500
-
-@app.route("/transcribe", methods=["POST"])
-def transcribe():
-    if "audio" not in request.files:
-        return jsonify({"error": "No audio file provided"}), 400
-
-    audio_file = request.files["audio"]
-    input_audio_path = os.path.join("static", "temp_input.wav")
-    output_audio_path = os.path.join("static", "temp.wav")
-    audio_file.save(input_audio_path)
-
-    try:
-        audio = AudioSegment.from_file(input_audio_path)
-        audio = audio.set_frame_rate(16000).set_channels(1)
-        audio.export(output_audio_path, format="wav")
-        
-        nonsilent_parts = detect_nonsilent(audio, min_silence_len=500, silence_thresh=audio.dBFS-16)
-        if len(nonsilent_parts) == 0:
-            return jsonify({"error": "No speech detected. Please try again."}), 400
-        
-        result = pipeline("automatic-speech-recognition", model="openai/whisper-small", device=0 if torch.cuda.is_available() else -1, config=config)
-        transcribed_text = result["text"].strip().capitalize()
-        
-        return jsonify({"text": transcribed_text})
-    except Exception as e:
-        return jsonify({"error": f"Speech recognition error: {str(e)}"}), 500
-
 if __name__ == "__main__":
     serve(app, host="0.0.0.0", port=7860)