Create app.py

app.py

@@ -0,0 +1,29 @@
+from flask import Flask, render_template, request
+import joblib
+
+app = Flask(__name__)
+
+# Load the trained model
+model = joblib.load('iris_model (3).pkl')
+
+@app.route("/")
+def home():
+    return render_template("index.html")
+
+@app.route("/predict", methods=['POST'])
+def predict():
+    if request.method == 'POST':
+        # Get values from form
+        sl = float(request.form['sl'])
+        sw = float(request.form['sw'])
+        pl = float(request.form['pl'])
+        pw = float(request.form['pw'])
+
+        # Make prediction
+        pred = model.predict([[sl, sw, pl, pw]])
+        result = pred[0]
+
+        return render_template("index.html", data=result)
+
+if __name__ == '__main__':
+    app.run(debug=True, host="0.0.0.0")