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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()
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