release: Prepare 0.0.2.8 release

- Removed hard-coded language list
- Bind pip dependencies
- Minor changes in Readme

Co-authored by:- Kapil Bansal <[email protected]>

Author: vishal2612200

README.md

@@ -30,7 +30,7 @@ d)Convert text to sound output(shabd_se_dhwani)
 Run `freshlybuiltimagebol.ShabdDhwani.shabd_se_dhwani(shabd,bhasha,filename)`. 
 
 e)Recognize text from natural scene image(natural_photo_se_text)
-Run `freshlybuiltimagebol.download('east_text_detection')` first to download the model.
+Run `freshlybuiltimagebol.imagebol_model_downloader('F_est')` first to download the model, Right now, there is only one available model i.e 'F_est'.
 Run `freshlybuiltimagebol.NaturalPhotoShabd.text_pehchano(image)`.
 
 **freshlybuiltimagebol.NaturalPhotoShabd.text_pehchano(image,min_confidence=0.85,width=320,height=320,padding=0.00)**  
@@ -86,13 +86,12 @@ method - from freshlybuiltimagebol import imagebol_model_downloader(model_name)
 *important* while updating model file , hash key must be updated. 
 
 ## Contributors
-[Vishal Sharma](https://github.com/vishal2612200/):		G.B. Pant Govt. Engineering College
+[Vishal Sharma](https://github.com/vishal2612200/):		G.B. Pant Govt. Engineering College, New Delhi
 
-[Kapil Bansal](https://github.com/KapilBansal320):		G.B. Pant Govt. Engineering College
+[Kapil Bansal](https://github.com/devkapilbansal):		G.B. Pant Govt. Engineering College, New Delhi
 
-[Ravi Pawar](https://github.com/ravi5175):		G.B. Pant Govt. Engineering College
+[Ravi Pawar](https://github.com/ravi5175):		G.B. Pant Govt. Engineering College, New Delhi
 
-[Sushmita](https://github.com/17sushmita):		G.B. Pant Govt. Engineering College
-
-[Simran](https://github.com/ishvik):		Maharaja Agrasen Institute of Technology
+[Sushmita](https://github.com/17sushmita):		G.B. Pant Govt. Engineering College, New Delhi
 
+[Simran](https://github.com/ishvik):		Maharaja Agrasen Institute of Technology, New Delhi

freshlybuiltimagebol/bhasha_codes.py

@@ -1,110 +1,3 @@
-bhasha_kosh = {
-    'af': 'afrikaans',
-    'sq': 'albanian',
-    'am': 'amharic',
-    'ar': 'arabic',
-    'hy': 'armenian',
-    'az': 'azerbaijani',
-    'eu': 'basque',
-    'be': 'belarusian',
-    'bn': 'bengali',
-    'bs': 'bosnian',
-    'bg': 'bulgarian',
-    'ca': 'catalan',
-    'ceb': 'cebuano',
-    'ny': 'chichewa',
-    'zh-cn': 'chinese (simplified)',
-    'zh-tw': 'chinese (traditional)',
-    'co': 'corsican',
-    'hr': 'croatian',
-    'cs': 'czech',
-    'da': 'danish',
-    'nl': 'dutch',
-    'en': 'english',
-    'eo': 'esperanto',
-    'et': 'estonian',
-    'tl': 'filipino',
-    'fi': 'finnish',
-    'fr': 'french',
-    'fy': 'frisian',
-    'gl': 'galician',
-    'ka': 'georgian',
-    'de': 'german',
-    'el': 'greek',
-    'gu': 'gujarati',
-    'ht': 'haitian creole',
-    'ha': 'hausa',
-    'haw': 'hawaiian',
-    'iw': 'hebrew',
-    'hi': 'hindi',
-    'hmn': 'hmong',
-    'hu': 'hungarian',
-    'is': 'icelandic',
-    'ig': 'igbo',
-    'id': 'indonesian',
-    'ga': 'irish',
-    'it': 'italian',
-    'ja': 'japanese',
-    'jw': 'javanese',
-    'kn': 'kannada',
-    'kk': 'kazakh',
-    'km': 'khmer',
-    'ko': 'korean',
-    'ku': 'kurdish (kurmanji)',
-    'ky': 'kyrgyz',
-    'lo': 'lao',
-    'la': 'latin',
-    'lv': 'latvian',
-    'lt': 'lithuanian',
-    'lb': 'luxembourgish',
-    'mk': 'macedonian',
-    'mg': 'malagasy',
-    'ms': 'malay',
-    'ml': 'malayalam',
-    'mt': 'maltese',
-    'mi': 'maori',
-    'mr': 'marathi',
-    'mn': 'mongolian',
-    'my': 'myanmar (burmese)',
-    'ne': 'nepali',
-    'no': 'norwegian',
-    'ps': 'pashto',
-    'fa': 'persian',
-    'pl': 'polish',
-    'pt': 'portuguese',
-    'pa': 'punjabi',
-    'ro': 'romanian',
-    'ru': 'russian',
-    'sm': 'samoan',
-    'gd': 'scots gaelic',
-    'sr': 'serbian',
-    'st': 'sesotho',
-    'sn': 'shona',
-    'sd': 'sindhi',
-    'si': 'sinhala',
-    'sk': 'slovak',
-    'sl': 'slovenian',
-    'so': 'somali',
-    'es': 'spanish',
-    'su': 'sundanese',
-    'sw': 'swahili',
-    'sv': 'swedish',
-    'tg': 'tajik',
-    'ta': 'tamil',
-    'te': 'telugu',
-    'th': 'thai',
-    'tr': 'turkish',
-    'uk': 'ukrainian',
-    'ur': 'urdu',
-    'uz': 'uzbek',
-    'vi': 'vietnamese',
-    'cy': 'welsh',
-    'xh': 'xhosa',
-    'yi': 'yiddish',
-    'yo': 'yoruba',
-    'zu': 'zulu',
-    'fil': 'Filipino',
-    'he': 'Hebrew',
-}
+from googletrans import LANGUAGES as bhasha_kosh
 
-bhasha_codes = dict(map(reversed, bhasha_kosh.items()))
+bhasha_codes = dict(map(reversed, bhasha_kosh.items()))

setup.py

@@ -18,28 +18,29 @@
 setup(
     name='freshlybuiltimagebol',
     packages=['freshlybuiltimagebol'],
-    version='0.0.2.7',
+    version='0.0.2.8',
     license='MIT',
     description='Photo Bhi Bol Uthega',
     long_description=long_description,
     long_description_content_type="text/markdown",
     author='Vishal Sharma',
     author_email='[email protected]',
     url='https://github.com/FreshlyBuilt/freshlybuiltimagebol',
-    download_url='https://github.com/FreshlyBuilt/freshlybuiltimagebol/archive/v0.0.2.7.tar.gz',
+    download_url='https://github.com/FreshlyBuilt/freshlybuiltimagebol/archive/v0.0.2.8.tar.gz',
     keywords=['Image', 'Audio', 'Text'],
     install_requires=[
-        'hyper',
-        'tqdm',
-        'colorama',
-        'googletrans',
-        'gTTS',
-        'Pillow',
-        'pytesseract',
-        'opencv-python',
-        'numpy',
-        'matplotlib',
-        'imutils',
+        'hyper==0.5.0',
+        'tqdm==4.46.0',
+        'colorama~=0.4',
+        'googletrans==3.1.0a0',
+        'gTTS==2.2.1',
+        'gTTS-token==1.1.4',
+        'Pillow~=7.0',
+        'pytesseract==0.3.2',
+        'opencv-python==4.1.2.30',
+        'numpy==1.16.3',
+        'matplotlib==3.1.3',
+        'imutils==0.5.3',
     ],
     classifiers=[
         'Development Status :: 3 - Alpha',