Duplicate from anzhir2011/SentenceSimilarity-Quran-v2

.gitattributes

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+*tfevents* filter=lfs diff=lfs merge=lfs -text
+Dataset-Verse-by-Verse.xlsx filter=lfs diff=lfs merge=lfs -text
+aravec_model/vocab/key2row filter=lfs diff=lfs merge=lfs -text
+aravec_model/vocab/strings.json filter=lfs diff=lfs merge=lfs -text
+aravec_model/vocab/vectors filter=lfs diff=lfs merge=lfs -text

Dataset-Verse-by-Verse.xlsx

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4529eea6d9fe1fc99c7a252b437fd76f1f551ee3a74d70a6b664b3a6a70c73b3
+size 1864556

README.md

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+---
+title: SentenceSimilarity Quran V2
+emoji: 😻
+colorFrom: purple
+colorTo: pink
+sdk: gradio
+sdk_version: 3.7
+app_file: app.py
+pinned: false
+license: creativeml-openrail-m
+duplicated_from: anzhir2011/SentenceSimilarity-Quran-v2
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import pandas as pd
+import spacy
+import gradio as gr
+import re
+
+
+dataset = pd.read_excel('Dataset-Verse-by-Verse.xlsx')
+dataset.rename(columns={'ArabicText': 'text'}, inplace=True)
+nlp = spacy.load('aravec_model')
+all_docs = [nlp(doc) for doc in dataset['text']]
+
+def clean_text(text):
+    # remove tashkeel
+    text = re.sub('[~ًٌٍَُِّْ]', '', text)
+    text = re.sub('[ًٌٍَُِّْـ]', '', text)
+    # ozbot el alef
+    text = re.sub('إ', 'ا', text)
+    text = re.sub('أ', 'ا', text)
+    text = re.sub('آ', 'ا', text)
+    # remove longation
+    text = re.sub(r'(.)\1+', r'\1\1', text)
+    # remove extra spaces
+    text = re.sub(' +', ' ', text)
+    text = text.strip()
+    text = re.sub('[\s]+', ' ', text)
+    # remove punctuations
+    text = re.sub(r'[^\w\s]', '', text)
+    return text
+
+def get_similar_sentences(text):
+    text = clean_text(text)
+    ref_sentence = nlp(text)
+    similar_sentences = []
+    for i,doc in enumerate(all_docs):
+        similar_sentences.append((doc, ref_sentence.similarity(doc) , i))
+    similar_sentences.sort(key=lambda x: x[1], reverse=True)
+    top_10 = similar_sentences[:10]
+    # add the surahnamearabic to text
+    return dict(zip([' [ ' + dataset['SurahNameArabic'][i] + ' ] ' + doc.text for doc, _, i in top_10], [similarity for _, similarity, _ in top_10]))
+
+text_input = gr.inputs.Textbox(lines = 1 , label = "Enter a Quran Verse" )
+
+label = gr.outputs.Label()
+examples = ['الحمدلله رب العالمين',
+            'مثلهم كمثل الذي استوقد نارًا فلما أضاءت ما حوله ذهب الله بنورهم وتركهم في ظلماتٍ لا يبصرون',
+            'إن الذين كفروا سواء عليهم أأنذرتهم أم لم تنذرهم لا يؤمنون',
+            'ونادى أصحاب الجنة أصحاب النار أن قد وجدنا ما وعدنا ربنا حقا فهل وجدتم ما وعد ربكم حقا ۖ قالوا نعم ۚ فأذن مؤذن بينهم أن لعنة الله على الظالمين'
+            ]
+
+intf = gr.Interface(fn = get_similar_sentences , inputs = text_input , outputs = label , examples=examples )
+intf.launch()

aravec_model/config.cfg

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+[paths]
+train = null
+dev = null
+vectors = null
+init_tok2vec = null
+
+[system]
+seed = 0
+gpu_allocator = null
+
+[nlp]
+lang = "ar"
+pipeline = []
+disabled = []
+before_creation = null
+after_creation = null
+after_pipeline_creation = null
+batch_size = 1000
+tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
+
+[components]
+
+[corpora]
+
+[corpora.dev]
+@readers = "spacy.Corpus.v1"
+path = ${paths.dev}
+gold_preproc = false
+max_length = 0
+limit = 0
+augmenter = null
+
+[corpora.train]
+@readers = "spacy.Corpus.v1"
+path = ${paths.train}
+gold_preproc = false
+max_length = 0
+limit = 0
+augmenter = null
+
+[training]
+seed = ${system.seed}
+gpu_allocator = ${system.gpu_allocator}
+dropout = 0.1
+accumulate_gradient = 1
+patience = 1600
+max_epochs = 0
+max_steps = 20000
+eval_frequency = 200
+frozen_components = []
+annotating_components = []
+dev_corpus = "corpora.dev"
+train_corpus = "corpora.train"
+before_to_disk = null
+logger = {"@loggers":"spacy.ConsoleLogger.v1"}
+
+[training.batcher]
+@batchers = "spacy.batch_by_words.v1"
+discard_oversize = false
+tolerance = 0.2
+
+[training.batcher.size]
+@schedules = "compounding.v1"
+start = 100
+stop = 1000
+compound = 1.001
+
+[training.optimizer]
+@optimizers = "Adam.v1"
+beta1 = 0.9
+beta2 = 0.999
+L2_is_weight_decay = true
+L2 = 0.01
+grad_clip = 1.0
+use_averages = false
+eps = 0.00000001
+learn_rate = 0.001
+
+[training.score_weights]
+
+[initialize]
+vectors = ${paths.vectors}
+init_tok2vec = ${paths.init_tok2vec}
+vocab_data = null
+lookups = null
+before_init = null
+after_init = null
+
+[initialize.components]
+
+[initialize.tokenizer]

aravec_model/meta.json

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+{
+  "lang":"ar",
+  "name":"pipeline",
+  "version":"0.0.0",
+  "spacy_version":">=3.4.0,<3.5.0",
+  "description":"",
+  "author":"",
+  "email":"",
+  "url":"",
+  "license":"",
+  "spacy_git_version":"d583626a8",
+  "vectors":{
+    "width":100,
+    "vectors":1278244,
+    "keys":1278244,
+    "name":"ar_pipeline.vectors",
+    "mode":"default"
+  },
+  "labels":{
+
+  },
+  "pipeline":[
+
+  ],
+  "components":[
+
+  ],
+  "disabled":[
+
+  ]
+}

aravec_model/tokenizer

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