Update app.py

app.py

@@ -247,7 +247,7 @@ def create_analysis_plots(symbol, days=180, lookback=30):
         )
         fig.update_layout(
             height=1200,
-            title_text=f"\U0001F4C8 {symbol} Price Analysis Dashboard",
+            title_text=f"📈 {symbol} Price Analysis Dashboard",
             showlegend=True,
             template="plotly_dark",
             paper_bgcolor='rgba(0,0,0,0)',
@@ -255,7 +255,7 @@ def create_analysis_plots(symbol, days=180, lookback=30):
             font=dict(size=12)
         )
         summary = f"""
-### \U0001F4CA Analysis Summary for {symbol}
+### 📊 Analysis Summary for {symbol}
 
 #### Current Market Status
 - **Current Price:** ${predictions['current_price']:,.2f}
@@ -275,7 +275,7 @@ def create_analysis_plots(symbol, days=180, lookback=30):
 
 #### Prediction Confidence
 - **Average Confidence:** {np.mean(predictions['confidence']) * 100:,.2f}%
-- **Trend Direction:** {'\U0001F53A Upward' if predictions['predicted'][-1] > predictions['actual'][-1] else '\U0001F53B Downward'}
+- **Trend Direction:** {'🔺 Upward' if predictions['predicted'][-1] > predictions['actual'][-1] else '🔻 Downward'}
 
 > *Note: Past performance does not guarantee future results. This analysis is for informational purposes only.*
         """
@@ -290,12 +290,12 @@ def create_analysis_plots(symbol, days=180, lookback=30):
             y=0.5,
             showarrow=False
         )
-        return fig, f"\u26A0\uFE0F Error: {str(e)}"
+        return fig, f"⚠️ Error: {str(e)}"
 
 def create_interface():
     with gr.Blocks(theme=gr.themes.Soft()) as iface:
         gr.Markdown("""
-        # \U0001F680 Advanced Cryptocurrency Price Prediction
+        # 🚀 Advanced Cryptocurrency Price Prediction
 
         This app uses deep learning to predict cryptocurrency prices and provide comprehensive market analysis.
 
@@ -325,7 +325,7 @@ def create_interface():
                         minimum=7, maximum=60, value=30, step=1,
                         label="Lookback Period (Days)"
                     )
-                submit_btn = gr.Button("\U0001F4CA Generate Analysis", variant="primary")
+                submit_btn = gr.Button("📊 Generate Analysis", variant="primary")
             with gr.Column(scale=2):
                 plot_output = gr.Plot(label="Analysis Plots")
         with gr.Row():
@@ -338,7 +338,7 @@ def create_interface():
                 return figure, summary, gr.update(visible=False, value="")
             except Exception as e:
                 empty_fig = go.Figure()
-                error_msg = f"\u26A0\uFE0F Error during analysis: {str(e)}"
+                error_msg = f"⚠️ Error during analysis: {str(e)}"
                 return empty_fig, "", gr.update(visible=True, value=error_msg)
         submit_btn.click(
             fn=handle_analysis,