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from flask import Flask |
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from flask import request |
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from flask import render_template |
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from flask import redirect |
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from flask import jsonify |
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from flask import send_from_directory |
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import json |
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import numpy as np |
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import moduli |
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from hugchat import hugchat |
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from numpy.linalg import norm |
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import datetime |
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import tensorflow as tf |
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import tensorflow_hub as hub |
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import tensorflow_text |
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model_url = "./hub_model/" |
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hub_layer = hub.load(model_url) |
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path='./' |
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app = Flask(__name__, template_folder=path+'/templates',static_url_path='',static_folder=path+'/static') |
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def support_jsonp(func): |
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"""Wraps JSONified output for JSONP requests.""" |
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@wraps(func) |
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def decorated_function(*args, **kwargs): |
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callback = request.args.get('callback', False) |
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if callback: |
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resp = func(*args, **kwargs) |
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resp.set_data('{}({})'.format( |
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str(callback), |
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resp.get_data(as_text=True) |
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)) |
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resp.mimetype = 'application/javascript' |
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return resp |
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else: |
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return func(*args, **kwargs) |
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return decorated_function |
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@app.route("/") |
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def flask_app(): |
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return '<br>' \ |
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'<h3><a href="https://www.aubaypoc.altervista.org/la7_demo.php" target="_blank">Vai alla 7Demo!</a></h3>' \ |
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'<br>' \ |
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'<h3><a href="https://www.ftintelligence.altervista.org/qa.php" target="_blank">Vai alla Question Answering Demo!</a></h3>' |
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@app.route('/broadcast_labels',methods=['POST','GET']) |
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@support_jsonp |
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def broadcast_labels(): |
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if request.method == 'GET': |
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s=request.args.get('S') |
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dati=moduli.la7_labels(s) |
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output=dati |
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response = jsonify(output) |
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return response |
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@app.route('/requestsQA',methods=['POST','GET']) |
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@support_jsonp |
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def tasksQA(): |
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ris='' |
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if request.method == 'POST': |
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domanda = str(request.form['domanda']).strip() |
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s = str(request.form['S']).strip() |
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ris=moduli.la7_QA(s,domanda,nlp_p) |
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return ris |
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@app.route('/requestsSearch',methods=['POST','GET']) |
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@support_jsonp |
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def tasksSearch(): |
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response='' |
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if request.method == 'POST': |
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domanda = str(request.form['frase']).strip() |
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s = str(request.form['S']).strip() |
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dati=moduli.la7_Search(s,domanda,hub_layer) |
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output=dati |
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response = jsonify(output) |
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return response |
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@app.route('/predict', methods=['POST','GET']) |
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@support_jsonp |
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def predict(): |
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dati=[] |
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context=str(request.form['testo']).strip() |
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question=str(request.form['testo_domanda']).strip() |
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w=moduli.la7_Bot(context,question,hugchat) |
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d={} |
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d['risultato']=w |
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d['nome']='ok' |
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data=jsonify(d) |
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data.headers.add('Access-Control-Allow-Origin', '*') |
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return data |
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if __name__ == "__main__": |
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app.run(host='0.0.0.0', port=7860) |
