Update app.py

app.py

@@ -215,7 +215,7 @@ if st.session_state.analysis is None:
         'Calories': [2100, 2300, 1950],
         'Sleep Duration': [7.5, 8.0, 6.5]
     })
-    st.dataframe(sample_data, use_container_width=True)
+    st.dataframe(sample_data, width="stretch")
 
 else:
     analysis = st.session_state.analysis
@@ -280,7 +280,7 @@ else:
             }
         ))
         fig_gauge.update_layout(height=200, margin=dict(l=0, r=0, t=0, b=0))
-        st.plotly_chart(fig_gauge, use_container_width=True)
+        st.plotly_chart(fig_gauge, width="stretch")
     
     st.markdown("---")
     
@@ -313,7 +313,7 @@ else:
         st.caption("Download full CSV for detailed review.")
 
     st.markdown("---")
-
+    
     # Future Self Motivation
     st.header("🌟 Design Your Future Self")
     target = {
@@ -334,9 +334,9 @@ else:
             f"- Stress score target: **{target['stress']:.2f}** (Low)\n"
         )
         encouragement = [
-            "Future You says: “Keep compounding the small wins.”",
-            "“Today's recovery is tomorrow's performance.“",
-            "“You're 1% closer every consistent day.“"
+            'Future You says: "Keep compounding the small wins."',
+            "Today's recovery is tomorrow's performance.",
+            "You're 1% closer every consistent day."
         ]
         st.success(encouragement[len(analysis.records) % len(encouragement)])
 
@@ -393,7 +393,7 @@ else:
             markers=True
         )
         fig_steps.update_layout(height=300)
-        st.plotly_chart(fig_steps, use_container_width=True)
+        st.plotly_chart(fig_steps, width="stretch")
     
     with col2:
         fig_hr = px.line(
@@ -405,7 +405,7 @@ else:
             color_discrete_sequence=['red']
         )
         fig_hr.update_layout(height=300)
-        st.plotly_chart(fig_hr, use_container_width=True)
+        st.plotly_chart(fig_hr, width="stretch")
     
     col1, col2 = st.columns(2)
     
@@ -419,7 +419,7 @@ else:
             color_continuous_scale='Blues'
         )
         fig_calories.update_layout(height=300)
-        st.plotly_chart(fig_calories, use_container_width=True)
+        st.plotly_chart(fig_calories, width="stretch")
     
     with col2:
         fig_sleep = px.bar(
@@ -431,7 +431,7 @@ else:
             color_continuous_scale='Purples'
         )
         fig_sleep.update_layout(height=300)
-        st.plotly_chart(fig_sleep, use_container_width=True)
+        st.plotly_chart(fig_sleep, width="stretch")
 
     st.subheader("📊 Deeper Insights")
     col_a, col_b = st.columns(2)
@@ -445,7 +445,7 @@ else:
             color_discrete_sequence=px.colors.sequential.Blues
         )
         fig_zone.update_layout(height=340)
-        st.plotly_chart(fig_zone, use_container_width=True)
+        st.plotly_chart(fig_zone, width="stretch")
 
     with col_b:
         fig_corr = px.scatter(
@@ -458,7 +458,7 @@ else:
             color_continuous_scale="Viridis"
         )
         fig_corr.update_layout(height=340)
-        st.plotly_chart(fig_corr, use_container_width=True)
+        st.plotly_chart(fig_corr, width="stretch")
     
     st.markdown("---")
     
@@ -540,7 +540,7 @@ else:
     
     # Data Table
     st.header("📋 Detailed Data")
-    st.dataframe(records_df, use_container_width=True, height=400)
+    st.dataframe(records_df, width="stretch", height=400)
     
     # Download button
     csv = records_df.to_csv(index=False)
@@ -549,4 +549,4 @@ else:
         data=csv,
         file_name=f"health_analysis_{datetime.now().strftime('%Y%m%d')}.csv",
         mime="text/csv"
-    )
+    )