# Launches server on port 3001

# Command: main_flask.py run

from main import classify

from flask import Flask, request, jsonify

app = Flask (__name__)

# Trivial route/"Home"

@app.route("/")

def index():

return jsonify ({"result":"Welcome"}) #trivial

# Returns JSON object containing a field for the result of the neural net's prediction

# and a field for a fun fact. It achieves this by the following procedure:

# 1. Extracts base64 string representation of the uploaded image from the request object,

# 2. Removes metadata tags

# 3. invokes classify function from main on the resulting string

@app.route("/processPic/", methods=['GET','POST'])

def processPic():

return result

if __name__ == "__main__":

app.run(port=3001, debug=True)