SarahMarzouq commited on
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1df1062
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1 Parent(s): 3d40d80

Update app.py

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Files changed (1) hide show
  1. app.py +12 -9
app.py CHANGED
@@ -4,30 +4,33 @@ import torch
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  from diffusers import DiffusionPipeline
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  from datasets import load_dataset
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- headline_gen = pipeline("text2text-generation", model="Michau/t5-base-en-generate-headline", tokenizer="t5-base")
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- ar_to_en_translator = pipeline("translation", model="Helsinki-NLP/opus-mt-ar-en")
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- en_to_ar_translator = pipeline("translation", model="Helsinki-NLP/opus-mt-en-ar")
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-
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  def generate_headline(selected_language, text):
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  if selected_language == "Arabic":
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- translated_text = translate_ar_to_en(text) # Translate Arabic to English
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- english_headline = generate_headline_english(translated_text) # Generate headline in English
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- arabic_headline = translate_en_to_ar(english_headline) # Translate headline back to Arabic
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  return arabic_headline
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  elif selected_language == "English":
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- english_headline = generate_headline_english(text)
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  return english_headline
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  def translate_ar_to_en(text):
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  var_ar_to_en = ar_to_en_translator(text)[0]['translation_text']
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  return var_ar_to_en
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  def translate_en_to_ar(text):
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  var_en_to_ar = en_to_ar_translator(text)[0]['translation_text']
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  return var_en_to_ar
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  def generate_headline_english(text):
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  result1 = headline_gen(text, max_length=100, truncation=True)
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  result2 = result1[0]['generated_text']
@@ -78,7 +81,7 @@ interface = gr.Interface(
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  fn=generate_headline,
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  inputs=[
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  gr.Dropdown(choices=["Arabic", "English"], label="Select Language"),
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- gr.Textbox(lines=5, placeholder="Enter article text here...", label="Text/Article")
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  ],
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  outputs=gr.Textbox(label="Generated Headline"),
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  from diffusers import DiffusionPipeline
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  from datasets import load_dataset
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+ headline_gen = pipeline("text2text-generation", model="Michau/t5-base-en-generate-headline", tokenizer="t5-base") #Headline Generator Pipeline
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+ ar_to_en_translator = pipeline("translation", model="Helsinki-NLP/opus-mt-ar-en") #Arabic to English translator Pipeline
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+ en_to_ar_translator = pipeline("translation", model="Helsinki-NLP/opus-mt-en-ar") #English to Arabic translator Pipeline
 
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+ #main function
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  def generate_headline(selected_language, text):
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  if selected_language == "Arabic":
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+ translated_text = translate_ar_to_en(text) #Translate Arabic text to English (so the headlines pipeline will understand the input)
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+ english_headline = generate_headline_english(translated_text) #Generate headline in English based on the translated text
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+ arabic_headline = translate_en_to_ar(english_headline) # Translate headline to Arabic (output will be arabic)
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  return arabic_headline
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  elif selected_language == "English":
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+ english_headline = generate_headline_english(text) #Generate headline in English based on the text
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  return english_headline
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+ #function to translate Arabic Text to English
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  def translate_ar_to_en(text):
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  var_ar_to_en = ar_to_en_translator(text)[0]['translation_text']
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  return var_ar_to_en
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+ #function to translate English Headline to Arabic
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  def translate_en_to_ar(text):
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  var_en_to_ar = en_to_ar_translator(text)[0]['translation_text']
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  return var_en_to_ar
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+ #function to generate headline in english
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  def generate_headline_english(text):
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  result1 = headline_gen(text, max_length=100, truncation=True)
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  result2 = result1[0]['generated_text']
 
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  fn=generate_headline,
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  inputs=[
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  gr.Dropdown(choices=["Arabic", "English"], label="Select Language"),
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+ gr.Textbox(lines=5, placeholder="Enter article text here", label="Text/Article")
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  ],
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  outputs=gr.Textbox(label="Generated Headline"),
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