Create app.py

app.py

@@ -0,0 +1,21 @@
+from flask import Flask, render_template, request
+import joblib
+from sklearn.linear_model import LogisticRegression
+
+app = Flask(__name__)
+
+# Predicting using Saved Model
+model = joblib.load('iris_model.pkl')
+
+@app.route("/")
+def home():
+    return render_template("index.html")
+
+@app.route("/predict", methods=['POST'])
+def predict():
+    pred = model.predict([[6.6,2.8,5.8,1.7]])
+    result = pred[0]
+    return render_template("index.html", data=result)
+
+if __name__ == '__main__':
+    app.run(debug=True, host="0.0.0.0")