Create app.py

app.py

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+import gradio as gr
+import pandas as pd
+import joblib
+
+# Define the features
+features = ['tempreature', 'humidity', 'water_level', 'N', 'P', 'K']
+
+# Load the models
+water_pump_model = joblib.load("xgb_Water_pump_actuator_ON_model.pkl")
+watering_plant_model = joblib.load("xgb_Watering_plant_pump_ON_model.pkl")
+fan_actuator_model = joblib.load("xgb_fan_actuator_model.pkl")
+
+# Prediction function
+def predict_actuators(tempreature, humidity, water_level, N, P, K):
+    # Input as DataFrame
+    input_data = pd.DataFrame([[tempreature, humidity, water_level, N, P, K]], columns=features)
+    
+    # Predictions for each model
+    water_pump_pred = water_pump_model.predict(input_data)[0]
+    watering_plant_pred = watering_plant_model.predict(input_data)[0]
+    fan_actuator_pred = fan_actuator_model.predict(input_data)[0]
+    
+    # Interpret predictions
+    water_pump_status = "The Water Pump Actuator is Turning On. 🚰" if water_pump_pred == 1 else "The Water Pump Actuator is Off. ❌"
+    watering_plant_status = "The Watering Plant Pump is Turning On. 🌱" if watering_plant_pred == 1 else "The Watering Plant Pump is Off. ❌"
+    fan_actuator_status = "The Fan Actuator is Turning On. 💨" if fan_actuator_pred == 1 else "The Fan Actuator is Off. ❌"
+    
+    return water_pump_status, watering_plant_status, fan_actuator_status
+
+# Create Gradio interface
+with gr.Blocks() as app:
+    gr.Markdown("# 🌾 Smart Automated Irrigation System 🌿")
+    gr.Markdown("Enter the environmental and nutrient parameters below to predict the actuator status for your irrigation system.")
+    
+    with gr.Row():
+        tempreature = gr.Number(label="Temperature (°C)", value=30.5)
+        humidity = gr.Number(label="Humidity (%)", value=75.0)
+        water_level = gr.Number(label="Water Level (cm)", value=3.2)
+        N = gr.Number(label="Nitrogen (N)", value=40)
+        P = gr.Number(label="Phosphorus (P)", value=15)
+        K = gr.Number(label="Potassium (K)", value=20)
+    
+    with gr.Row():
+        example1_btn = gr.Button("Use Example Input 1 (30.5, 75.0, 3.2, 40, 15, 20)")
+        example2_btn = gr.Button("Use Example Input 2 (35, 12, 88, 185, 190, 160)")
+    
+    submit_btn = gr.Button("Predict Actuator Status")
+    
+    with gr.Row():
+        water_pump_status = gr.Textbox(label="Water Pump Status", interactive=False)
+        watering_plant_status = gr.Textbox(label="Watering Plant Pump Status", interactive=False)
+        fan_actuator_status = gr.Textbox(label="Fan Actuator Status", interactive=False)
+    
+    # Example input 1
+    def example1():
+        return 30.5, 75.0, 3.2, 40, 15, 20
+    
+    # Example input 2
+    def example2():
+        return 35, 12, 88, 185, 190, 160
+    
+    # Define button actions
+    example1_btn.click(example1, [], [tempreature, humidity, water_level, N, P, K])
+    example2_btn.click(example2, [], [tempreature, humidity, water_level, N, P, K])
+    submit_btn.click(
+        predict_actuators,
+        [tempreature, humidity, water_level, N, P, K],
+        [water_pump_status, watering_plant_status, fan_actuator_status],
+    )
+
+# Launch the app
+app.launch()