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+ FROM python:3.9
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+
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+ WORKDIR /code
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+
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+ COPY ./requirements.txt /code/requirements.txt
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+
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+ RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
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+
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+ RUN useradd -m -u 1000 user
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+ USER user
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+ ENV HOME=/home/user \
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+ PATH=/home/user/.local/bin:$PATH
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+
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+ WORKDIR $HOME/app
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+
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+ COPY --chown=user . $HOME/app
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+ CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]
main.py ADDED
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+ import tensorflow as tf
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+ import numpy as np
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+ import pandas as pd
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+ import swifter
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+ import json
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+ import re
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+ import requests
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+ import time
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+ from keras.preprocessing.text import Tokenizer
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+ from sklearn.preprocessing import OneHotEncoder, LabelEncoder
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+ from sklearn.model_selection import train_test_split
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+ from sklearn.metrics import classification_report
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+ # from keras.optimizers.optimizer_v2.rmsprop import RMSProp
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+ from tensorflow.keras.utils import to_categorical
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+ from tensorflow.keras.models import Sequential, load_model
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+ from tensorflow.keras.layers import Dense, Conv1D, Embedding, MaxPooling1D, GlobalMaxPooling1D, GlobalAveragePooling1D, SpatialDropout1D, LSTM, Dropout, SimpleRNN, Bidirectional, Attention, Activation, GRU, TextVectorization, Input
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+ from tensorflow.keras.callbacks import EarlyStopping
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+ from tensorflow.keras.preprocessing.sequence import pad_sequences
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+ import arabicstopwords.arabicstopwords as stp
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+ from nltk.stem.isri import ISRIStemmer
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+ from pyarabic.araby import strip_tashkeel, strip_tatweel
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+ from huggingface_hub import from_pretrained_keras
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+ from collections import Counter
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+ from fastapi import FastAPI, Request, HTTPException
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+ import firebase_admin
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+ from firebase_admin import credentials
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+ from firebase_admin import firestore
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+ import threading
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+ # Import the Firebase Admin SDK
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+ import firebase_admin
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+ from firebase_admin import credentials
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+ from firebase_admin import firestore
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+ # Firebase ininlaziton
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+ cred = credentials.Certificate(
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+ "text-to-emotions-firebase-adminsdk-8isbn-dffbdf01e8.json")
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+ firebase_admin.initialize_app(cred)
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+
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+
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+ # Model inilization
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+ isristemmer = ISRIStemmer()
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+ model = from_pretrained_keras('MahmoudNasser/GRU-MODEL-EMOTION-AR-TEXT-76jP')
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+
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+
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+ def stemming(txt):
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+ return isristemmer.stem(txt)
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+
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+
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+ def remove_singleCharacter(text):
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+ text_tokenized = ar.tokenize(text)
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+ clean_txt = ''
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+ for word in text_tokenized:
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+ if len(word) != 1:
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+ clean_txt = clean_txt + word + ' '
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+
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+ return clean_txt[:-1]
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+
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+ # remove_punctuations
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+
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+
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+ def remove_punctuations(text):
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+ punc = '''()-[]{};:'"\,<>./@#$%^&*ุŒุ›_~'''
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+ arabic_punctuations = '''`รทร—ุ›_ู€ุŒ/:".,'~ยฆ+|โ€โ€ฆโ€œโ€“ู€=๏ดพ๏ดฟ ๏นฑ ๏นน โธ€ห“โ€ข ื‘'''
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+ punctuations_list = punc + arabic_punctuations
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+ for x in punctuations_list:
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+ text = text.replace(x, ' ')
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+ return text
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+
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+
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+ def normalize_text(txt):
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+ txt = strip_tashkeel(txt)
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+ txt = strip_tatweel(txt)
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+ txt = ''.join(txt[i] for i in range(len(txt)) if i ==
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+ 0 or txt[i-1] != txt[i]) # remove repeated characters
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+ return txt
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+
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+
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+ def remove_stopwords(txt, path="stopword.txt"):
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+ text_tokenized = txt.split(' ')
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+ clean_txt = ''
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+ # useful_words=[]
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+ # filtered_sentence=" "
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+ arabic_stop_words_file = open(path, 'r', encoding='utf-8')
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+ arabic_stop_words = arabic_stop_words_file.read().split('\n')
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+ for word in text_tokenized:
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+ if word not in arabic_stop_words:
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+ clean_txt = clean_txt + word + ' '
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+
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+ return clean_txt[:-1]
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+
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+
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+ def Remove_unwanted(text):
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+ # removing the extra spacing and links
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+
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+ text = re.sub(r'^https?:\/\/.*[\r\n]*', ' ', text, flags=re.MULTILINE)
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+ text = re.sub(r'^http?:\/\/.*[\r\n]*', ' ', text, flags=re.MULTILINE)
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+ text = re.sub(r"http\S+", " ", text)
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+ text = re.sub(r"https\S+", " ", text)
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+ text = re.sub(r'\s+', ' ', text)
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+ text = re.sub(r'[a-zA-Z]+', ' ', text)
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+ text = re.sub(r"^\s+|\s+$", "", text)
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+ text = re.sub(r"(\s\d+)", " ", text)
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+ text = re.sub(r"$\d+\W+|\b\d+\b|\W+\d+$", " ", text)
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+ text = re.sub(r"\d+", " ", text)
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+ text = re.sub(r'[ุฅุฃูฑุขุง]', 'ุง', text)
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+ text = re.sub(r'ู‰', '[ูŠ]', text)
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+ text = re.sub(r'ุก', '[ุคุฆ]', text)
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+ text = re.sub(r' +', ' ', text)
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+ return text
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+
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+
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+ def txt_preprocess(text):
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+ text = normalize_text(text)
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+ text = stemming(text)
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+ text = remove_stopwords(text)
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+ text = remove_punctuations(text)
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+ text = Remove_unwanted(text)
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+ return text
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+
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+
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+ def see_if_thereupdates():
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+ f = open("updates.txt", "r")
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+ return f.readline()
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+
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+
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+ def getmodel():
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+ m = from_pretrained_keras('MahmoudNasser/GRU-MODEL-EMOTION-AR-TEXT-72P')
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+ return m
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+
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+
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+ def original_values(num):
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+ if num == 0:
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+ return 'anger'
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+ elif num == 1:
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+ return 'sadness'
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+ elif num == 2:
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+ return 'joy'
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+ elif num == 3:
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+ return 'surprise'
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+ elif num == 4:
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+ return 'love'
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+ elif num == 5:
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+ return 'sympathy'
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+ elif num == 6:
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+ return 'fear'
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+
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+
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+ def modelpredict(data):
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+ data = txt_preprocess(data)
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+ pred = model.predict(pd.Series([data]))
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+ return {'anger': float(pred[0][0]), 'sadness': float(pred[0][1]), 'joy': float(pred[0][2]), 'surprise': float(pred[0][3]),
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+ 'love': float(pred[0][4]), 'sympathy': float(pred[0][5]), 'fear': float(pred[0][6])}
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+ # return {"anger": .90, "happy": .02, "emotionlabel": "anger"}
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+
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+
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+ # Main Server inilization
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+ app = FastAPI()
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+
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+ @app.post("/")
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+ async def read_root(request: Request):
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+ json_data = await request.json()
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+ if "mathod" in json_data and json_data["mathod"] == "emotion_predict" and 'text' in json_data:
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+ return modelpredict(json_data["text"])
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+ else:
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+ raise HTTPException(status_code=400, detail="Missing mathod value")
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+ @app.get("/commonwords")
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+ def getcommonwords():
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+ return {'ุงู„ุชุณุฌูŠู„': 23, 'ู…ุด': 19, 'ุชุทุจูŠู‚': 18, 'ุงู„ุชุทุจูŠู‚': 18, 'ุงู„ุชูุนูŠู„': 17, 'ูƒูˆุฏ': 13, 'ุงุฑุณุงู„': 12, 'ุชุณุฌูŠู„': 12, 'ูŠุชู…': 12, 'ุงู„ุฑู‚ู…': 12}
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+
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+
requirements.txt ADDED
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+ keras
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+ tensorflow
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+ farasapy
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+ Arabic-Stopwords
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+ swifter
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+ pyarabic
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+ lime
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+ huggingface_hub
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+ nltk
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+ fastapi==0.74.*
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+ requests==2.27.*
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+ sentencepiece==0.1.*
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+ firebase-admin
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+ uvicorn[standard]==0.17.*
stopword.txt ADDED
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+ ุขุถ
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+ ุขู…ูŠู†ูŽ
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+ ุขู‡
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+ ุงู†ุง
5
+ ุขู‡ุงู‹
6
+ ุขูŠ
7
+ ุฃุจ
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+ ุฃุฌู„
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+ ุฃุฌู…ุน
10
+ ุฃุฎ
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+ ุฃุฎุฐ
12
+ ุฃุตุจุญ
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+ ุฃุถุญู‰
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+ ุฃู‚ุจู„
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+ ุฃู‚ู„
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+ ุฃูƒุซุฑ
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+ ุฃู„ุง
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+ ุฃู…
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+ ุฃู…ุง
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+ ุฃู…ุงู…ูƒ
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+ ุฃู…ุงู…ูƒูŽ
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+ ุฃู…ุณู‰
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+ ุฃู…ู‘ุง
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+ ุฃู†
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+ ุฃู†ุง
26
+ ุฃู†ุช
27
+ ุฃู†ุชู…
28
+ ุฃู†ุชู…ุง
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+ ุฃู†ุชู†
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+ ุฃู†ุชู
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+ ุฃู†ุดุฃ
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+ ุฃู†ู‘ู‰
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+ ุฃูˆ
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+ ุฃูˆุดูƒ
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+ ุฃูˆู„ุฆูƒ
36
+ ุฃูˆู„ุฆูƒู…
37
+ ุฃูˆู„ุงุก
38
+ ุฃูˆู„ุงู„ูƒ
39
+ ุฃูˆู‘ู‡ู’
40
+ ุฃูŠ
41
+ ุฃูŠุง
42
+ ุฃูŠู†
43
+ ุฃูŠู†ู…ุง
44
+ ุฃูŠู‘
45
+ ุฃูŽู†ู‘ูŽ
46
+ ุฃูŽูŠู‘ู
47
+ ุฃููู‘ู
48
+ ุฅุฐ
49
+ ุฅุฐุง
50
+ ุฅุฐุงู‹
51
+ ุฅุฐู…ุง
52
+ ุฅุฐู†
53
+ ุฅู„ู‰
54
+ ุฅู„ูŠูƒู…
55
+ ุฅู„ูŠูƒู…ุง
56
+ ุฅู„ูŠูƒู†ู‘
57
+ ุฅู„ูŠูƒูŽ
58
+ ุฅู„ูŽูŠู’ูƒูŽ
59
+ ุฅู„ู‘ุง
60
+ ุฅู…ู‘ุง
61
+ ุฅู†
62
+ ุฅู†ู‘ู…ุง
63
+ ุฅูŠ
64
+ ุฅูŠุงูƒ
65
+ ุฅูŠุงูƒู…
66
+ ุฅูŠุงูƒู…ุง
67
+ ุฅูŠุงูƒู†
68
+ ุฅูŠุงู†ุง
69
+ ุฅูŠุงู‡
70
+ ุฅูŠุงู‡ุง
71
+ ุฅูŠุงู‡ู…
72
+ ุฅูŠุงู‡ู…ุง
73
+ ุฅูŠุงู‡ู†
74
+ ุฅูŠุงูŠ
75
+ ุฅูŠู‡ู
76
+ ุฅูู†ู‘ูŽ
77
+ ุง
78
+ ุงุจุชุฏุฃ
79
+ ุงุซุฑ
80
+ ุงุฌู„
81
+ ุงุญุฏ
82
+ ุงุฎุฑู‰
83
+ ุงุฎู„ูˆู„ู‚
84
+ ุงุฐุง
85
+ ุงุฑุจุนุฉ
86
+ ุงุฑุชุฏู‘
87
+ ุงุณุชุญุงู„
88
+ ุงุทุงุฑ
89
+ ุงุนุงุฏุฉ
90
+ ุงุนู„ู†ุช
91
+ ุงู
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+ ุงูƒุซุฑ
93
+ ุงูƒุฏ
94
+ ุงู„ุฃู„ุงุก
95
+ ุงู„ุฃู„ู‰
96
+ ุงู„ุง
97
+ ุงู„ุงุฎูŠุฑุฉ
98
+ ุงู„ุงู†
99
+ ุงู„ุงูˆู„
100
+ ุงู„ุงูˆู„ู‰
101
+ ุงู„ุชู‰
102
+ ุงู„ุชูŠ
103
+ ุงู„ุซุงู†ูŠ
104
+ ุงู„ุซุงู†ูŠุฉ
105
+ ุงู„ุฐุงุชูŠ
106
+ ุงู„ุฐู‰
107
+ ุงู„ุฐูŠ
108
+ ุงู„ุฐูŠู†
109
+ ุงู„ุณุงุจู‚
110
+ ุงู„ู
111
+ ุงู„ู„ุงุฆูŠ
112
+ ุงู„ู„ุงุชูŠ
113
+ ุงู„ู„ุชุงู†
114
+ ุงู„ู„ุชูŠุง
115
+ ุงู„ู„ุชูŠู†
116
+ ุงู„ู„ุฐุงู†
117
+ ุงู„ู„ุฐูŠู†
118
+ ุงู„ู„ูˆุงุชูŠ
119
+ ุงู„ู…ุงุถูŠ
120
+ ุงู„ู…ู‚ุจู„
121
+ ุงู„ูˆู‚ุช
122
+ ุงู„ู‰
123
+ ุงู„ูŠูˆู…
124
+ ุงู…ุง
125
+ ุงู…ุงู…
126
+ ุงู…ุณ
127
+ ุงู†
128
+ ุงู†ุจุฑู‰
129
+ ุงู†ู‚ู„ุจ
130
+ ุงู†ู‡
131
+ ุงู†ู‡ุง
132
+ ุงูˆ
133
+ ุงูˆู„
134
+ ุงูŠ
135
+ ุงูŠุงุฑ
136
+ ุงูŠุงู…
137
+ ุงูŠุถุง
138
+ ุจ
139
+ ุจุงุช
140
+ ุจุงุณู…
141
+ ุจุงู†
142
+ ุจุฎู
143
+ ุจุฑุณ
144
+ ุจุณุจุจ
145
+ ุจุณู‘
146
+ ุจุดูƒู„
147
+ ุจุถุน
148
+ ุจุทุขู†
149
+ ุจุนุฏ
150
+ ุจุนุถ
151
+ ุจูƒ
152
+ ุจูƒู…
153
+ ุจูƒู…ุง
154
+ ุจูƒู†
155
+ ุจู„
156
+ ุจู„ู‰
157
+ ุจู…ุง
158
+ ุจู…ุงุฐุง
159
+ ุจู…ู†
160
+ ุจู†
161
+ ุจู†ุง
162
+ ุจู‡
163
+ ุจู‡ุง
164
+ ุจูŠ
165
+ ุจูŠุฏ
166
+ ุจูŠู†
167
+ ุจูŽุณู’
168
+ ุจูŽู„ู’ู‡ูŽ
169
+ ุจูุฆู’ุณูŽ
170
+ ุชุงู†ู
171
+ ุชุงู†ููƒ
172
+ ุชุจุฏู‘ู„
173
+ ุชุฌุงู‡
174
+ ุชุญูˆู‘ู„
175
+ ุชู„ู‚ุงุก
176
+ ุชู„ูƒ
177
+ ุชู„ูƒู…
178
+ ุชู„ูƒู…ุง
179
+ ุชู…
180
+ ุชูŠู†ูƒ
181
+ ุชูŽูŠู’ู†ู
182
+ ุชูู‡
183
+ ุชููŠ
184
+ ุซู„ุงุซุฉ
185
+ ุซู…
186
+ ุซู…ู‘
187
+ ุซู…ู‘ุฉ
188
+ ุซูู…ู‘ูŽ
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+ ุฌุนู„
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+ ุฌู„ู„
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+ ุฌู…ูŠุน
192
+ ุฌูŠุฑ
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+ ุญุงุฑ
194
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210
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226
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227
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228
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229
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240
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245
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246
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255
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256
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267
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270
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271
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272
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273
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274
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279
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280
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281
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283
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284
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285
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286
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287
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288
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290
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292
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296
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298
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299
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301
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302
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303
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477
+ ุฃูŠู‘ุงู†
text-to-emotions-firebase-adminsdk-8isbn-dffbdf01e8.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "type": "service_account",
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+ "project_id": "text-to-emotions",
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+ "private_key_id": "dffbdf01e831117f58d7819ea7e3fefd524d158e",
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+ "private_key": "-----BEGIN PRIVATE KEY-----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\nmPdQWjmbh9yCWt3xQKUJaQ==\n-----END PRIVATE KEY-----\n",
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+ "client_email": "firebase-adminsdk-8isbn@text-to-emotions.iam.gserviceaccount.com",
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+ "client_id": "100821195059447963966",
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+ "auth_uri": "https://accounts.google.com/o/oauth2/auth",
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+ "token_uri": "https://oauth2.googleapis.com/token",
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+ "auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs",
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+ "client_x509_cert_url": "https://www.googleapis.com/robot/v1/metadata/x509/firebase-adminsdk-8isbn%40text-to-emotions.iam.gserviceaccount.com",
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+ "universe_domain": "googleapis.com"
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+ }