Update app.py

app.py

@@ -0,0 +1,26 @@
+import gradio as gr
+import numpy as np
+import joblib
+
+# Load model (ensure this .pkl is uploaded)
+model = joblib.load("gas_classification_model.pkl")
+
+# Define feature input labels
+sensor_labels = [f"Sensor {i+1}" for i in range(10)]
+
+# Predict function
+def predict_gas(*sensor_values):
+    input_data = np.array(sensor_values).reshape(1, -1)
+    prediction = model.predict(input_data)[0]
+    return f"Predicted Gas Type: {prediction}"
+
+# Gradio UI
+iface = gr.Interface(
+    fn=predict_gas,
+    inputs=[gr.Number(label=label) for label in sensor_labels],
+    outputs=gr.Textbox(label="Gas Type"),
+    title="Gas Sensor Classifier",
+    description="Enter 10 sensor readings to classify the gas type.",
+)
+
+iface.launch()