Update app.py

app.py

@@ -13,30 +13,18 @@ st.title("Crop Recommendation System 🌱")
 # Create a sidebar for input fields
 with st.sidebar:
     st.header("Input Parameters")
-    N = st.text_input("Nitrogen content", placeholder="Enter Nitrogen content")
-    P = st.text_input("Phosphorus content", placeholder="Enter Phosphorus content")
-    K = st.text_input("Potassium content", placeholder="Enter Potassium content")
-    temp = st.text_input("Temperature in °C", placeholder="Enter Temperature in °C")
-    humidity = st.text_input("Humidity in %", placeholder="Enter Humidity in %")
-    ph = st.text_input("pH value", placeholder="Enter pH value")
-    rainfall = st.text_input("Rainfall in mm", placeholder="Enter Rainfall in mm")
-
-
-# Create a sidebar for input fields
-with st.sidebar:
-    st.header("Input Parameters")
-    N = st.number_input("Nitrogen content", min_value=0.0, step=0.1, help="Enter Nitrogen content")
-    P = st.number_input("Phosphorus content", min_value=0.0, step=0.1, help="Enter Phosphorus content")
-    K = st.number_input("Potassium content", min_value=0.0, step=0.1, help="Enter Potassium content")
-    temp = st.number_input("Temperature in °C", min_value=0.0, step=0.1, help="Enter Temperature in °C")
-    humidity = st.number_input("Humidity in %", min_value=0.0, step=0.1, help="Enter Humidity in %")
-    ph = st.number_input("pH value", min_value=0.0, step=0.1, help="Enter pH value")
-    rainfall = st.number_input("Rainfall in mm", min_value=0.0, step=0.1, help="Enter Rainfall in mm")
+    N = st.number_input("Nitrogen content", min_value=0.0, value=0.0, step=0.1, format="%.1f", help="Enter Nitrogen content")
+    P = st.number_input("Phosphorus content", min_value=0.0, value=0.0, step=0.1, format="%.1f", help="Enter Phosphorus content")
+    K = st.number_input("Potassium content", min_value=0.0, value=0.0, step=0.1, format="%.1f", help="Enter Potassium content")
+    temp = st.number_input("Temperature in °C", min_value=0.0, value=0.0, step=0.1, format="%.1f", help="Enter Temperature in °C")
+    humidity = st.number_input("Humidity in %", min_value=0.0, value=0.0, step=0.1, format="%.1f", help="Enter Humidity in %")
+    ph = st.number_input("pH value", min_value=0.0, value=0.0, step=0.1, format="%.1f", help="Enter pH value")
+    rainfall = st.number_input("Rainfall in mm", min_value=0.0, value=0.0, step=0.1, format="%.1f", help="Enter Rainfall in mm")
 
 if st.button("Get Recommendation"):
     feature_list = [N, P, K, temp, humidity, ph, rainfall]
     single_pred = np.array(feature_list).reshape(1, -1)
-    
+
     scaled_features = ms.transform(single_pred)
     final_features = sc.transform(scaled_features)
     prediction = model.predict(final_features)