Upload 9 files
Browse files- .gitattributes +1 -0
- app.py +94 -0
- cookies.json +119 -0
- hub_model/saved_model.pb +3 -0
- hub_model/variables/variables.data-00000-of-00001 +3 -0
- hub_model/variables/variables.index +0 -0
- moduli.so +0 -0
- requirements.txt +5 -0
.gitattributes
CHANGED
@@ -32,3 +32,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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hub_model/variables/variables.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
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app.py
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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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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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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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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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def predict():
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dati=[]
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#context=request.args.get('testo')
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context=str(request.form['testo']).strip()
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#question=request.args.get('testo_domanda')
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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")
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#app.run(debug=False)
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app.run()
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cookies.json
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[
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{
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"domain": ".huggingface.co",
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"expirationDate": 1716383545,
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"hostOnly": false,
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"httpOnly": false,
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"name": "__stripe_mid",
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"path": "/",
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"sameSite": "strict",
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"secure": true,
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"session": false,
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"storeId": null,
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"value": "b33726b4-9262-430e-9269-49173b842270e2b841"
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},
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{
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"domain": ".huggingface.co",
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"expirationDate": 1719407767.751054,
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"hostOnly": false,
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"httpOnly": false,
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"name": "_ga",
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"path": "/",
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"sameSite": null,
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"secure": false,
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"session": false,
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"storeId": null,
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"value": "GA1.2.1073053110.1681987579"
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},
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{
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"domain": ".huggingface.co",
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"expirationDate": 1713523934.53824,
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"hostOnly": false,
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"httpOnly": true,
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"name": "token",
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"path": "/",
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"sameSite": "lax",
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"secure": true,
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"session": false,
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"storeId": null,
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"value": "EyuZYTjUSrTonRhGoMVFTlJQbPrqrTyBTkyElCsKeusiJeISYLAnTsQSIIGDmGaQQNXVtkDuWONXdmPxcKmqxzetHgGgaYlHzqDzdKIbdmAOuAtlbtatbBNJGchblEsn"
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},
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{
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"domain": ".huggingface.co",
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"expirationDate": 1706086451,
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"hostOnly": false,
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"httpOnly": false,
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"name": "intercom-device-id-hgve3glw",
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"path": "/",
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"sameSite": "lax",
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"secure": false,
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"session": false,
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"storeId": null,
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"value": "1453b08c-cdf1-4307-8505-0e82a4c70ce3"
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},
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{
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"domain": ".huggingface.co",
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"expirationDate": 1684849345,
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"hostOnly": false,
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"httpOnly": false,
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"name": "__stripe_sid",
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"path": "/",
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"sameSite": "strict",
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"secure": true,
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"session": false,
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"storeId": null,
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"value": "804b5b92-8311-496d-86a4-afdbec5883bfbc43a6"
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},
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{
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"domain": ".huggingface.co",
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"expirationDate": 1719407767.741976,
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"hostOnly": false,
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"httpOnly": false,
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"name": "_ga_8Q63TH4CSL",
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"path": "/",
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"sameSite": null,
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"secure": false,
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"session": false,
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"storeId": null,
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"value": "GS1.1.1684846713.41.1.1684847767.0.0.0"
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},
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{
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"domain": ".huggingface.co",
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"expirationDate": 1684934167,
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"hostOnly": false,
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"httpOnly": false,
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"name": "_gid",
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"path": "/",
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"sameSite": null,
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"secure": false,
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"session": false,
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"storeId": null,
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"value": "GA1.2.248779127.1684846713"
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},
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{
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"domain": "huggingface.co",
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"expirationDate": 1716470167.628733,
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"hostOnly": true,
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"httpOnly": true,
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"name": "hf-chat",
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"path": "/",
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"sameSite": "no_restriction",
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"secure": true,
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"session": false,
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"storeId": null,
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"value": "3f4fb6bf-5291-47c3-980a-1512cb244a9d"
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},
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{
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"domain": ".huggingface.co",
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"expirationDate": 1706086451,
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"hostOnly": false,
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"httpOnly": false,
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"name": "intercom-id-hgve3glw",
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"path": "/",
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"sameSite": "lax",
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"secure": false,
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"session": false,
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"storeId": null,
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"value": "6e2010b7-4642-4e5d-9ebc-094c0272d0a3"
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}
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]
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hub_model/saved_model.pb
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:aea05ab4f38b378ed33359e7ae9b759b388c27a7267e26ee1fabf1f12a15caaf
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size 9339616
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hub_model/variables/variables.data-00000-of-00001
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version https://git-lfs.github.com/spec/v1
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oid sha256:6dcbc87e48438f803b0237fbb0941e8dec12f1c28ef5fc738ed7ba0a9a1ec182
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size 341194862
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hub_model/variables/variables.index
ADDED
Binary file (27.2 kB). View file
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moduli.so
ADDED
Binary file (807 kB). View file
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requirements.txt
ADDED
@@ -0,0 +1,5 @@
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flask
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numpy
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tensorflow
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tensorflow_text
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hugchat
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