Update app.py

app.py

@@ -10,7 +10,7 @@ import plotly.graph_objects as go
 load_dotenv()
 
 # Set page configuration
-st.set_page_config(page_title="☀️AI-based Solar Project Estimation Tool", layout="centered")
+st.set_page_config(page_title="☀️AI-Based Solar Project Estimation Tool", layout="centered")
 
 # Initialize Gemini with the API key
 api_key = os.getenv("GOOGLE_API_KEY")
@@ -67,7 +67,7 @@ Payback period in years: <value>
     return prompt
 
 # UI - Form for user input
-st.title("☀️ AI-based Solar Project Estimation Tool")
+st.title("☀️ AI-Based Solar Project Estimation Tool")
 st.write("### Enter Your Details Below:")
 
 with st.form("solar_form"):
@@ -137,45 +137,37 @@ if submitted and location:
                     st.warning("There was an issue processing the response. Please try again.")
 
         # Show Graph if values are available
-        if total_system_cost is not None and monthly_savings_rs is not None and payback_period_years is not None:
+           # Visual Summary - Grouped Bar Chart
+        if system_size_kw is not None and total_system_cost is not None:
             st.subheader("📊 Visual Summary")
-
-            # Prepare data for Area Chart
-            months = int(payback_period_years * 12)
-            savings_cumulative = [monthly_savings_rs * month for month in range(1, months + 1)]
-
-            fig = go.Figure()
-
-            # Area plot
-            fig.add_trace(go.Scatter(
-                x=list(range(1, months + 1)),
-                y=savings_cumulative,
-                mode='lines',
-                fill='tozeroy',
-                name='Cumulative Savings (₹)',
-                line=dict(color='#00CC96')
-            ))
-
-            # Line for Total Cost
-            fig.add_trace(go.Scatter(
-                x=[1, months],
-                y=[total_system_cost, total_system_cost],
-                mode='lines',
-                name='Total System Cost (₹)',
-                line=dict(color='red', dash='dash')
-            ))
-
+            
+            # Grouped Bar chart for all the values
+            fig = go.Figure(data=[
+                go.Bar(
+                    name="System Size (kW)",
+                    x=["Solar System Size", "Daily Output", "Total Cost", "Monthly Savings", "Payback Period"],
+                    y=[system_size_kw, daily_output_kwh, total_system_cost, monthly_savings_rs, payback_period_years],
+                    marker_color='#636EFA'
+                ),
+                go.Bar(
+                    name="Financials",
+                    x=["Solar System Size", "Daily Output", "Total Cost", "Monthly Savings", "Payback Period"],
+                    y=[0, 0, total_system_cost, monthly_savings_rs, payback_period_years],
+                    marker_color='#00CC96'
+                )
+            ])
+            
+            # Update layout
             fig.update_layout(
-                title="Cumulative Savings vs Total System Cost Over Time",
-                xaxis_title="Months",
-                yaxis_title="Amount (₹)",
-                legend_title="Legend",
-                template="plotly_white"
+                barmode='group',
+                title="Comparison of Solar System Parameters",
+                yaxis_title="Values",
+                xaxis_title="Parameters"
             )
-
-            st.plotly_chart(fig, use_container_width=True, key="solar_graph")
+            st.plotly_chart(fig, use_container_width=True)
 
     else:
         st.error("Sorry, the location entered does not match any available data.")
 else:
-    st.info("Please fill out all fields to get your solar project estimate.")
+    st.warning("Please fill out all fields to see your solar project estimate.")
+