Update app.py

app.py

@@ -196,9 +196,25 @@ def gradio_interface(ticker1, ticker2, ticker3, ticker4, start_date, end_date, q
         logging.error(f"Error in Gradio interface: {e}")
         return f"Error processing image or query: {e}", None
 
-def gradio_app():
+ef gradio_app():
     with gr.Blocks() as demo:
-        gr.Markdown("## Stock Analysis Dashboard")
+        gr.Markdown("""
+        ## 📈Stock Analysis Dashboard
+
+        This application provides a comprehensive stock analysis tool that allows users to input up to four stock tickers, specify date ranges, and select various financial indicators. The core functionalities include:
+
+        1. **Data Fetching and Chart Creation**: Historical stock data is fetched from Yahoo Finance, and candlestick charts are generated with optional financial indicators like RSI, SMA, VWAP, and Bollinger Bands.
+
+        2. **Text Analysis and Insights Generation**: The application uses a pre-trained model based on the **Paligema** architecture to analyze the input chart and text query, generating insightful analysis based on the provided financial data and context.
+
+        3. **User Interface**: Users can interactively select stocks, date ranges, intervals, and indicators. The app also supports the analysis of single tickers or comparative analysis across multiple tickers.
+
+        4. **Logging and Debugging**: Detailed logging helps in debugging and tracking the application's processes.
+
+        5. **Enhanced Image Processing**: The app adds financial metrics and annotations to the generated charts, ensuring clear presentation of data.
+
+        This tool leverages the Paligema model to provide detailed insights into stock market trends, offering an interactive and educational experience for users.
+        """)
 
         with gr.Row():
             ticker1 = gr.Textbox(label="Primary Ticker", value="GC=F")