Create app.py

app.py

@@ -0,0 +1,27 @@
+import requests
+import gradio as gr
+
+# Load the trained model
+model = joblib.load('hackathonrf.joblib')
+
+# Function to get AQI value from OpenWeatherMap API
+def get_aqi(latitude, longitude, api_key):
+    url = f"http://api.openweathermap.org/data/2.5/air_pollution?lat={latitude}&lon={longitude}&appid={api_key}"
+    response = requests.get(url)
+    data = response.json()
+    aqi_value = data['list'][0]['main']['aqi']
+    return aqi_value
+
+# Function to make prediction
+def predict_air_quality(latitude, longitude, api_key):
+    aqi_value = get_aqi(latitude, longitude, api_key)
+    prediction = model.predict([[aqi_value, aqi_value, aqi_value, aqi_value]])
+    return prediction[0]
+
+# Create Gradio interface
+iface = gr.Interface(fn=predict_air_quality, 
+                      inputs=["text", "text", "text"], 
+                      outputs="text", 
+                      title="Air Quality Prediction",
+                      description="Enter latitude, longitude, and OpenWeatherMap API key:")
+iface.launch()