[Python] Flask- The requested URL was not found on the server

I think this is a simple problem but I am kind of stuck here.

I am trying to deploy keras model in Flask. My main propose is to practice API.

But I am getting this error continuously whenever I tried to open given local host id.

Not Found

The requested URL was not found on the server. If you entered the URL manually please check your spelling and try again.
​

Did I miss anything in my code?

This is my code:

from numpy.lib.twodim_base import tri
import pandas as pd
import numpy as np
import flask
from tensorflow.keras.models import load_model
import joblib
import csv
import codecs
import warnings

def warn(*arg, **kwargs):
pass

warnings.warn = warn

#initialize the flask application

app = flask.Flask(__name__)

#load the pre-trained model

def define_model():
global model
model = load_model('./model/anomaly_model.h5')
return print("Model is loaded")


limit = 10

@app.route("/submit", methods=["POST"])

def submit():
#initialize the data dictionary that will be returned in the response
data_out = {}
#load the data file from our endpoint
if flask.request.method == "POST":
#read the data file
file = flask.request.files['data_file']
if not file:
return "No file submitted"
data = []
stream, = codecs.iterdecode(file.stream, 'utf-8')
for row in csv.reader(stream, dialect=csv.excel):
if row:
data.append(row)

#convert input data to pandas dataframe

df = pd.DataFrame(data)
df.set_index(df.iloc[:, 0], inplace=True)
df2 = df.drop(df.columns[0], axis=1)
df2 = df2.astype(np.float64)

#normalize the data
scaler = joblib.load('./data/combined.csv')
X = scaler.transform(df2)
X = X.reshape(X.shape[0], 1, X.shape[1])

data_out['Analysis'] = []
preds = model.predict(X)
preds = preds.reshape(preds.shape[0], preds.shape[2])
preds = pd.DataFrame(preds, columns=df2.columns)
preds.index = df2.index

scored = pd.DataFrame(index=df2.index)
yhat = X.reshape(X.shape[0], X.reshape[2])
scored['Loss_mae'] = np.mean(np.abs(yhat - preds), axis=1)
scored['Threshold'] = limit
scored['Anomaly'] = scored['Loss_mae'] > scored['threshold']
print(scored)

#determine of an anomaly was detected

triggered = []
for i in range(len(scored)):
temp = scored.iloc
if temp.iloc[2]:
triggered.append(temp)
print(len(triggered))
if len(triggered) > 0:
for j in range(len(triggered)):
out = triggered[j]
result = {"Anomaly": True, "Value"ut[0], "filename"ut.name}
data_out["Analysis"].append(result)
else:
result = {"Anomaly":"No Anomalies Detected"}
data_out["Analysis"].append(result)
print(data_out)

return flask.jsonify(data_out)

if __name__ == "__main__":
print(("* Loading the Keras model and starting the server ...."
"Please wait until the server has fully started before submitting"))
define_model()
app.run(debug=True)


Actually I am new in Flask. This is my first attempt. I also tried to give app.run(host='0.0.0.0') but didn't work for me. Can I get some help???

This is the log from terminal:

* Loading the Keras model and starting the server ....Please wait until the server has fully started before submitting
2021-12-27 16:29:45.158086: I tensorflow/core/platform/cpu_feature_guard.cc:151] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
Model is loaded
* Serving Flask app 'implementation' (lazy loading)
* Environment: production
WARNING: This is a development server. Do not use it in a production deployment.
Use a production WSGI server instead.
* Debug mode: on
* Running on http://127.0.0.1:5000/ (Press CTRL+C to quit)
* Restarting with stat
* Loading the Keras model and starting the server ....Please wait until the server has fully started before submitting
2021-12-27 16:29:49.283527: I tensorflow/core/platform/cpu_feature_guard.cc:151] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
Model is loaded
Model is loaded
* Debugger is active!
* Debugger PIN: 114-980-010
127.0.0.1 - - [27/Dec/2021 16:05:37] "GET / HTTP/1.1" 404 -
127.0.0.1 - - [27/Dec/2021 16:05:38] "GET / HTTP/1.1" 404 -
127.0.0.1 - - [27/Dec/2021 16:05:53] "GET / HTTP/1.1" 404 -
127.0.0.1 - - [27/Dec/2021 16:05:56] "GET / HTTP/1.1" 404 -


Hoping for some help

Thanks

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