added code for threading lock and live in yfinance and gradio

app.py

@@ -27,7 +27,7 @@
 # This is the best Notebook Code for the NN Model
 #
 # Written on: 28 Mar 2025
-# Last update: 29 Mar 2025
+# Last update: 02 Apr 2025
 #+--------------------------------------------------------------------------------------------+
 
 import gradio as gr
@@ -50,6 +50,11 @@ from pytz import timezone
 from pandas.tseries.offsets import BDay
 import hashlib
 
+import threading
+lock = threading.Lock()
+# This forces all inference requests to run one at a time, which avoids file 
+# lock conflicts in SQLite. It’s simple but effective for debugging.
+
 # --- Load saved model and scalers --- #
 model_dir = "./model"
 # import os
@@ -91,7 +96,7 @@ def predict_stock():
         auto_adjust=False,
         actions=False,
         progress=False,
-        threads=False
+        threads=True        #<-- for parallel downloads, use True
         )
         if full_data.empty:
             raise RuntimeError("Download failed or returned no data.")
@@ -214,7 +219,7 @@ demo = gr.Interface(
     ],
     title="📈 NVDA Stock Predictor",
     description="This app uses a Dense Neural Network to predict NVDA's next trading day's closing price.",
-    live=False
+    live=True       #<-- changed to True for live queuing
 )
 
 demo.launch(share=True)