Update app.py

app.py

@@ -7,6 +7,10 @@ from sklearn.linear_model import LinearRegression
 
 # Function to fetch data
 def fetch_data(ticker, start_date, end_date):
+    # Convert input dates from strings to pandas datetime
+    start_date = pd.to_datetime(start_date)
+    end_date = pd.to_datetime(end_date)
+    
     stock_data = yf.download(ticker, start=start_date, end=end_date)
     return stock_data
 
@@ -62,11 +66,11 @@ def stock_prediction_interface(ticker, start_date, end_date):
 # Gradio app UI
 ticker_list = ['AAPL', 'GOOGL', 'MSFT', 'AMZN', 'TSLA', 'META', 'NFLX', 'NVDA', 'BABA', 'INTC']
 
-# Update to use gr.components instead of gr.inputs
+# Use Textbox for date input since Gradio doesn't have a Date component anymore
 with gr.Blocks() as demo:
     ticker_input = gr.components.Dropdown(choices=ticker_list, label="Stock Ticker")
-    start_date_input = gr.components.Date(label="Start Date")
-    end_date_input = gr.components.Date(label="End Date")
+    start_date_input = gr.components.Textbox(label="Start Date (YYYY-MM-DD)", placeholder="e.g. 2023-01-01")
+    end_date_input = gr.components.Textbox(label="End Date (YYYY-MM-DD)", placeholder="e.g. 2023-12-31")
     
     output_text = gr.components.Textbox(label="Prediction Results")
     output_plot = gr.components.Plot(label="Stock Price Plot")