Create App.py

App.py

@@ -0,0 +1,31 @@
+import pickle
+import gradio as gr
+with open("diabetes_classifier.pkl", "rb") as file:
+    loaded_model = pickle.load(file)
+diabetes_classifier = loaded_model['model']
+columns = loaded_model['columns']
+
+def predict_diabetes_func(Pregnancies, Glucose, BloodPressure, SkinThickness, Insulin, BMI, DiabetesPedigreeFunction, Age):
+    input_data = [Pregnancies, Glucose, BloodPressure, SkinThickness, Insulin, BMI, DiabetesPedigreeFunction, Age]
+    input_df = pd.DataFrame([input_data], columns=columns)
+    prediction = diabetes_classifier.predict(input_df)
+    return "Positive" if prediction[0] == 1 else "Negative"
+
+iface = gr.Interface( title = "Mashdemy AI Demo _Diabetes Prediction App"
+                     description = "Enter the various parameters and click submit to know if the result is Positive or Negative"
+    fn=predict_diabetes_func,  # Updated function name
+    inputs=[
+        gr.Number(label="Pregnancies"),
+        gr.Number(label="Glucose"),
+        gr.Number(label="BloodPressure"),
+        gr.Number(label="SkinThickness"),
+        gr.Number(label="Insulin"),
+        gr.Number(label="BMI"),
+        gr.Number(label="DiabetesPedigreeFunction"),
+        gr.Number(label="Age"),
+    ],
+    outputs="text",
+    live=False,
+)
+
+iface.launch(share= True)