Update app.py

app.py

@@ -213,7 +213,12 @@ def goda(Case, Hs, Hmax, h, d, h_acc, hc, T, beta, rho, slope_foreshore, B, lamb
         #fig = ff.create_table(data_matrix)
         #fig.update_layout(width=1000)
         title = 'Case Number ' + str(Case) + ' Horizontal table.csv'
-        pd.DataFrame(data_matrix).to_csv(title, header=None, index=None)
+        csv_string = pd.DataFrame(data_matrix).to_csv(title, header=None, index=None)
+
+         # Create a download link for the generated CSV file
+        b64 = base64.b64encode(csv_string.encode()).decode()
+        href = f'<a href="data:file/csv;base64,{b64}" download="{filename}">Download CSV</a>'
+        st.markdown(href, unsafe_allow_html=True)
         #fig.write_image()
         
         
@@ -238,9 +243,14 @@ def goda(Case, Hs, Hmax, h, d, h_acc, hc, T, beta, rho, slope_foreshore, B, lamb
                        ['Load Elevation', '[ft] MSL', round(Bottom_of_Wall + Load_Distance_from_Bottom,2)]]
 
         title = 'Case Number ' + str(Case) + ' Suction table.csv'
-        pd.DataFrame(data_matrix).to_csv(title, header=None, index=None)
-        
-        
+        csv_string = pd.DataFrame(data_matrix).to_csv(title, header=None, index=None)
+
+    
+         # Create a download link for the generated CSV file
+        b64 = base64.b64encode(csv_string.encode()).decode()
+        href = f'<a href="data:file/csv;base64,{b64}" download="{filename}">Download CSV</a>'
+        st.markdown(href, unsafe_allow_html=True)
+