Upload app_py.py

app_py.py

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+# -*- coding: utf-8 -*-
+"""app.py
+
+Automatically generated by Colab.
+
+Original file is located at
+    https://colab.research.google.com/drive/1EUSf7Q4En-DqvH6-G5zg4q7I7oGOYPO_
+"""
+
+import gradio as gr
+import joblib
+import numpy as np
+
+# Load model and scaler
+model = joblib.load("wine_quality_model.pkl")
+scaler = joblib.load("wine_scaler.pkl")
+
+def predict_quality(fixed_acidity, volatile_acidity, citric_acid, residual_sugar,
+                    chlorides, free_sulfur_dioxide, total_sulfur_dioxide,
+                    density, pH, sulphates, alcohol):
+
+    sample = np.array([[fixed_acidity, volatile_acidity, citric_acid, residual_sugar,
+                        chlorides, free_sulfur_dioxide, total_sulfur_dioxide,
+                        density, pH, sulphates, alcohol]])
+
+    scaled = scaler.transform(sample)
+    pred = model.predict(scaled)[0]
+
+    return "GOOD 🍷" if pred == 1 else "BAD ❌"
+
+inputs = [
+    gr.Number(label="Fixed Acidity"),
+    gr.Number(label="Volatile Acidity"),
+    gr.Number(label="Citric Acid"),
+    gr.Number(label="Residual Sugar"),
+    gr.Number(label="Chlorides"),
+    gr.Number(label="Free Sulfur Dioxide"),
+    gr.Number(label="Total Sulfur Dioxide"),
+    gr.Number(label="Density"),
+    gr.Number(label="pH"),
+    gr.Number(label="Sulphates"),
+    gr.Number(label="Alcohol"),
+]
+
+output = gr.Textbox(label="Prediction")
+
+app = gr.Interface(
+    fn=predict_quality,
+    inputs=inputs,
+    outputs=output,
+    title="Wine Quality Prediction App",
+    description="Enter wine chemistry values to predict if wine is GOOD or BAD"
+)
+
+app.launch()