Update cancer.py

cancer.py

@@ -101,7 +101,11 @@ if st.button("Predict Cancer Presence"):
         # Create DataFrame for input
         input_df = pd.DataFrame(input_data, columns=x_train.columns)
 
-        # Apply preprocessing (fix error)
+        # Convert numeric inputs explicitly to float
+        for col in ['Age', 'Tumor_Size']:
+            input_df[col] = pd.to_numeric(input_df[col], errors='coerce')
+
+        # Apply preprocessing
         input_transformed = model.named_steps['preprocessor'].transform(input_df)
 
         # Make prediction
@@ -115,3 +119,4 @@ if st.button("Predict Cancer Presence"):
             st.write("Good news! The model predicts that there is no cancer detected. Stay healthy!")
     else:
         st.error("Please train a model first!")
+