Update app.py

app.py

@@ -1,37 +1,37 @@
-from flask import Flask, render_template, request
-from datetime import datetime
-import pytz
-import joblib
-
-app = Flask(__name__)  # Inilitize the flask app
-
-# Load the saved model
-loaded_model = joblib.load('irismodel.joblib')
-
-
-@app.route('/')
-def index():
-    dt = datetime.now(pytz.timezone('Asia/Kolkata')
-                      ).strftime('%Y-%m-%d %H:%M:%S')
-    return render_template('index.html', dt=dt)
-
-
-@app.route('/predict')
-def predictpage():
-    return render_template('predictpage.html')
-
-
-@app.route('/predictiris', methods=['POST'])
-def predict():
-    sepal_length = float(request.form['sepal_length'])
-    sepal_width = float(request.form['sepal_width'])
-    petal_length = float(request.form['petal_length'])
-    petal_width = float(request.form['petal_width'])
-    new_data = [[sepal_length, sepal_width, petal_length, petal_width]]
-    prediction = loaded_model.predict(new_data)
-    prediction = prediction[0]
-    return render_template('predictpage.html', prediction=prediction)
-
-
-if __name__ == '__main__':
-    app.run(debug=True, host='0.0.0.0', port=5000)
+from flask import Flask, render_template, request
+from datetime import datetime
+import pytz
+import joblib
+
+app = Flask(__name__)  # Inilitize the flask app
+
+# Load the saved model
+loaded_model = joblib.load('irismodel.joblib')
+
+
+@app.route('/')
+def index():
+    dt = datetime.now(pytz.timezone('Asia/Kolkata')
+                      ).strftime('%Y-%m-%d %H:%M:%S')
+    return render_template('index.html', dt=dt)
+
+
+@app.route('/predict')
+def predictpage():
+    return render_template('predictpage.html')
+
+
+@app.route('/predictiris', methods=['POST'])
+def predict():
+    sepal_length = float(request.form['sepal_length'])
+    sepal_width = float(request.form['sepal_width'])
+    petal_length = float(request.form['petal_length'])
+    petal_width = float(request.form['petal_width'])
+    new_data = [[sepal_length, sepal_width, petal_length, petal_width]]
+    prediction = loaded_model.predict(new_data)
+    pred = prediction[0]
+    return render_template('predictpage.html', pred=pred)
+
+
+if __name__ == '__main__':
+    app.run(debug=True, host='0.0.0.0', port=5000)