Delete appy.py

appy.py

@@ -1,127 +0,0 @@
-#!/usr/bin/env python
-# coding: utf-8
-from gtts import gTTS
-import gradio as gr
-from PyPDF2 import PdfFileReader
-from googletrans import Translator
-import googletrans
-import numpy as np
-import requests
-from PIL import Image
-import pytesseract 
-# from docx import Document
-
-cnt = 0
-langues = googletrans.LANGUAGES
-
-
-
-API_URL = "https://api-inference.huggingface.co/models/facebook/bart-large-cnn"
-headers = {"Authorization": "Bearer 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"}
-
-def query(payload):
-	response = requests.post(API_URL, headers=headers, json=payload)
-	return response.json()
-
-def get_key(val):
-    for key, value in langues.items():
-         if val == value:
-             return key
-
-def read_article(file_name):
-
-    name = file_name.name.replace("\\",'/')
-    file = None
-    article = ""
-    if name.endswith(".txt"):
-        file = open(name, "r")
-        filedata = file.readlines()
-        for e in filedata :
-            article = article + e
-    if name.endswith(".pdf"):
-        # article = textract.process('document_path.PDF', method='PDFminer')
-        document = PdfFileReader(open(name, 'rb'))
-        for page in range(document.numPages):
-            pageObj = document.getPage(page)
-            article += pageObj.extractText().replace('\n','')
-    if name.endswith(".docx"):
-        pass
-        # doc = Document(name)
-        # article = None
-        # for para in doc.paragraphs:
-        #     article = article + para.text
-    if name.endswith(".jpg") or name.endswith(".png") or name.endswith(".jpeg"):
-        img = Image.open(name)                              
-        # path where the tesseract module is installed
-        pytesseract.pytesseract.tesseract_cmd ='C:/Program Files (x86)/Tesseract-OCR/tesseract.exe'   
-        # converts the image to result and saves it into result variable
-        result = pytesseract.image_to_string(img)
-
-    return article
-
-    
-def translate_data(text, final_language):
-    translator = Translator()
-    translation = translator.translate(text, dest=get_key(final_language))
-    return translation.text
-
-
-def generate_summary(file_name, mode,final_language):
-    # Step 1 - Read text anc split it
-    global cnt
-    sentences =  read_article(file_name)
-    translator = Translator()
-    cnt +=1
-    if mode == "traduction":
-        text_translate = translate_data(sentences,final_language)
-        myobj = gTTS(text=text_translate, lang=get_key(final_language), slow=False) 
-        myobj.save(f"audio_traduce{cnt}.wav") 
-        return f"audio_traduce{cnt}.wav", text_translate
-    elif mode=="lecture":
-        text = translator.translate(sentences)
-        text_translate = sentences 
-        myobj = gTTS(text=text_translate, lang=get_key(final_language), slow=False) 
-        myobj.save(f"audio_lecture{cnt}.wav") 
-        return f"audio_lecture{cnt}.wav", text_translate
-    elif mode == "resume_et_traduire":
-        text_translate = query({"inputs": sentences,})
-        text_translate = text_translate[0]['summary_text']
-        text = translate_data(text_translate,final_language)
-        text_translate = text
-        myobj = gTTS(text=text, lang=get_key(final_language), slow=False) 
-        myobj.save(f"audio_resume_traduire{cnt}.wav") 
-        return f"audio_resume_traduire{cnt}.wav", text_translate
-    else:
-        text_translate = query({"inputs": sentences,})
-        text_translate = text_translate[0]['summary_text']
-        text = translator.translate(text_translate)
-        myobj = gTTS(text=text_translate, lang=text.src, slow=False) 
-        myobj.save(f"audio_resume{cnt}.wav") 
-        return f"audio_resume{cnt}.wav", text_translate
-    
-
-
-iface = gr.Interface(
-    fn=generate_summary, 
-    inputs=[
-        gr.inputs.File( file_count="single",type="file", label="Fichier à Traduire"), 
-        gr.inputs.Radio(['resume', 'traduction','resume_et_traduire','lecture'], label="Choix du mode de fonctionnement"), 
-        gr.inputs.Radio(['afrikaans', 'albanian', 'amharic', 'arabic', 'armenian', 'azerbaijani', 
-        'basque', 'belarusian', 'bengali', 'bosnian', 'bulgarian', 'catalan', 'cebuano', 'chichewa', 
-        'chinese (simplified)', 'chinese (traditional)', 'corsican', 'croatian', 'czech', 'danish', 
-        'dutch', 'english', 'esperanto', 'estonian', 'filipino', 'finnish', 'french', 'frisian', 
-        'galician', 'georgian', 'german', 'greek', 'gujarati', 'haitian creole', 'hausa', 'hawaiian',
-        'hebrew', 'hebrew', 'hindi', 'hmong', 'hungarian', 'icelandic', 'igbo', 'indonesian', 'irish', 
-        'italian', 'japanese', 'javanese', 'kannada', 'kazakh', 'khmer', 'korean', 'kurdish (kurmanji)', 
-        'kyrgyz', 'lao', 'latin', 'latvian', 'lithuanian', 'luxembourgish', 'macedonian', 'malagasy', 
-        'malay', 'malayalam', 'maltese', 'maori', 'marathi', 'mongolian', 'myanmar (burmese)', 'nepali', 
-        'norwegian', 'odia', 'pashto', 'persian', 'polish', 'portuguese', 'punjabi', 'romanian', 'russian', 
-        'samoan', 'scots gaelic', 'serbian', 'sesotho', 'shona', 'sindhi', 'sinhala', 'slovak', 'slovenian', 
-        'somali', 'spanish', 'sundanese', 'swahili', 'swedish', 'tajik', 'tamil', 'telugu', 'thai', 'turkish', 
-        'ukrainian', 'urdu', 'uyghur', 'uzbek', 'vietnamese', 'welsh', 'xhosa', 'yiddish', 'yoruba', 'zulu'],label="Langage à traduire")], 
-    outputs= [gr.outputs.Audio(type="file", label="Audio du livre")
-    ,gr.outputs.Textbox(label="resultat")],
-    theme="dark-seafoam")
-iface.launch(inbrowser=True,share= True)
-
-# GPS ou GSM qui a le GPS (150k, 15k)