Update app.py

app.py

@@ -1,6 +1,7 @@
 
 import textwrap
 import torch
+from datetime import datetime
 import torch.nn as nn
 import torch.optim as optim
 import spacy
@@ -277,9 +278,11 @@ model_telugu.eval()
 app=Flask(__name__)
 CORS(app)
 
+
 @app.route("/")
 def home():
-    return jsonify({"message": "hellooooooooo"})
+    current_time = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+    return jsonify({"message": f"Welcome to TRAVIS API, Time : {current_time}"})
 
 
 @app.route("/intent")
@@ -355,27 +358,17 @@ def query_model():
 def get_audio():
     data = request.get_json()
     text = data.get("text")
+    start_te = time.time()
 
-    # text=audio_telugu_response
     if not text:
         return jsonify({"error": "No Response To convert to speech"}), 400
 
-    filename = f"speech_{uuid.uuid4().hex}.mp3"
-    filepath = os.path.join("audio_temp", filename)
-
-    os.makedirs("audio_temp", exist_ok=True)
-
-    # Convert text to Telugu speech
+    # Convert text to Telugu speech using in-memory file
     speech = gTTS(text=text, lang="te")
-    speech.save(filepath)
-
-    # Automatically delete the file after sending
-    @after_this_request
-    def cleanup(response):
-        try:
-            os.remove(filepath)
-        except Exception as e:
-            print(f"Cleanup error: {e}")
-        return response
-
-    return send_file(filepath, mimetype="audio/mpeg", as_attachment=False)
+    audio_io = io.BytesIO()
+    speech.write_to_fp(audio_io)
+    audio_io.seek(0)
+    end_te = time.time()
+    print("telugu_time":(end_te-start_te))
+
+    return send_file(audio_io, mimetype="audio/mpeg", as_attachment=False)