Update app.py

app.py

@@ -32,7 +32,15 @@ loan_amnt = st.slider('Loan Amount', min_value=0.0, max_value=1000000.0, step=10
 int_rate = st.slider('Interest Rate (%)', min_value=0.0, max_value=30.0, step=0.1, value=5.0)
 installment = st.slider('EMI Amount', min_value=0.0, max_value=10000.0, step=10.0, value=200.0)
 annual_inc = st.slider('Annual Income', min_value=0.0, max_value=1000000.0, step=1000.0, value=50000.0)
-cibil_score = st.number_input('CIBIL Score', min_value=300, max_value=900, step=1, value=700)
+
+# CIBIL score input as a text field
+cibil_score = st.text_input('CIBIL Score (Enter a number between 300 and 900)', value='700')
+
+# Convert the CIBIL score input to a numeric value
+try:
+    cibil_score = int(cibil_score)
+except ValueError:
+    st.error("Please enter a valid number for CIBIL Score.")
 
 # Set default values for the missing features
 dti = 0.0  # Example default value for DTI
@@ -68,9 +76,12 @@ input_data = input_data[num_features + ['loan_amnt_by_income']]  # Only keep fea
 
 # Predict using the model
 if st.button('Predict'):
-    prediction = model.predict(input_data)
-    result = "Defaulted" if prediction[0] == 1 else "Not Defaulted"
-    color = "red" if prediction[0] == 1 else "green"
-    st.markdown(f"""
-        <div style="font-size: 24px; color: {color}; font-weight: bold;">Prediction: {result}</div>
-    """, unsafe_allow_html=True) 
+    if 300 <= cibil_score <= 900:  # Ensure CIBIL score is within the valid range
+        prediction = model.predict(input_data)
+        result = "Defaulted" if prediction[0] == 1 else "Not Defaulted"
+        color = "red" if prediction[0] == 1 else "green"
+        st.markdown(f"""
+            <div style="font-size: 24px; color: {color}; font-weight: bold;">Prediction: {result}</div>
+        """, unsafe_allow_html=True)
+    else:
+        st.error("Please enter a CIBIL Score between 300 and 900.")