Update app.py

app.py

@@ -125,7 +125,37 @@ def run_stock_prediction(ticker):
     )
 
 # -------- CLI RUN --------
-if __name__ == "__main__":
-    ticker_input = input("Enter the stock ticker symbol (e.g., TATAMOTORS.NS or TSLA): ").strip().upper()
-    run_stock_prediction(ticker_input)
+import gradio as gr
+
+def predict_stock(ticker):
+    try:
+        model = load_model(MODEL_PATH)
+        df = fetch_stock_data(ticker)
+        X, y, scaler, df_raw = preprocess_data(df)
+
+        y_pred_scaled = model.predict(X, verbose=0)
+        y_pred = scaler.inverse_transform(y_pred_scaled)
+        y_true = scaler.inverse_transform(y)
+
+        last_window = X[-1]
+        next_3_days = predict_future(model, last_window, days=3, scaler=scaler)
+        future_dates = [df_raw.index[-1] + timedelta(days=i+1) for i in range(3)]
+
+        result = ""
+        for i in range(3):
+            result += f"📅 Day {i+1} ({future_dates[i].strftime('%Y-%m-%d')}): ₹{next_3_days[i][0]:.2f}\n"
+        return result
+    except Exception as e:
+        return f"❌ Error: {str(e)}"
+
+interface = gr.Interface(
+    fn=predict_stock,
+    inputs=gr.Textbox(label="Enter Stock Ticker (e.g. TATAMOTORS.NS)"),
+    outputs="text",
+    title="📈 LSTM Stock Price Predictor",
+    description="Enter a stock ticker to get the predicted prices for the next 3 days using an LSTM model."
+)
+
+interface.launch(share=True)  # Set to share=True for public access
+