import requests
import glob
from clarifai.rest import ClarifaiApp
import json
import os
app = ClarifaiApp('3sV5ZqH5HPz-obqWgk8m7iBHHf41IDhHHr_wUGaT', '91Mg1OCiSKYMemuJWt5GBWmK-FKmxOQ3DJmarLuY')
app = Flask(__name__)
app.config['DEBUG'] = True
@app.route("/")
def hello():
wordbank = {}
app = ClarifaiApp('UzbdCFxqhjb6JL94ogmugfWnfEKAJ7WGSeOe1GiQ', '_RkOzOu9L0ZTdVdIGKQcZKSuAnamobafUWZwpP8H')
model = app.models.get('bc2c1be334f44095b8c214cdf2dc8fbe')
newest = min(glob.iglob('*.png'), key=os.path.getctime)
result = model.predict_by_filename(newest)
# wordbank = (result.get("outputs")[0].get("data").get("concepts")[0].get("name")) + " "+ str(result.get("outputs")[0].get("data").get("concepts")[0].get("value")) + "}"
wordbank = (result.get("outputs")[0].get("data").get("concepts")[0])
return jsonify(wordbank )
if __name__ == "__main__":
app.run()
def parse(image):
output = str(model.predict_by_url(url=image))
index = output.find("u'name'") + 1
concepts = []
for i in range(1, output.count("u'name'")):
index = output.find("u'name'", index + 1)
concepts.append(output[index + 11:output.find("'", index + 13)])
return concepts
print(parse(image))
from flask import Flask, render_template, request
app = Flask(__name__)
@app.route('/')
def index():
return render_template('main.html')
@app.route('/send', methods=['POST'])
def send():
response = parse(request.form["url"])
return str(response)
app.run(debug=True)