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Update app.py
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app.py
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@@ -1,33 +1,48 @@
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import subprocess
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import sys
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from transformers import T5ForConditionalGeneration, T5Tokenizer
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from translate import Translator as LibreTranslator
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import gradio as gr
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# Install required packages
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print(f"Failed to install {package}, trying with --user flag")
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subprocess.check_call([sys.executable, "-m", "pip", "install", "--user", package])
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class GOTSummarizer:
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def __init__(self):
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self.tokenizer = T5Tokenizer.from_pretrained("t5-small")
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self.model = T5ForConditionalGeneration.from_pretrained("t5-small")
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def summarize(self, text, max_length=150):
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inputs = self.tokenizer("summarize: " + text,
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return self.tokenizer.decode(outputs[0], skip_special_tokens=True)
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def translate(self, text, lang='hi'):
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try:
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except Exception as e:
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print(f"Translation error: {e}")
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return text
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@@ -63,25 +84,18 @@ def process(text, lang='en'):
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interface = gr.Interface(
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fn=process,
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inputs=[
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gr.Textbox(label="Game of Thrones Text", lines=10,
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placeholder="Paste book chapter text here..."),
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gr.Dropdown(
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label="
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choices=[
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('English', 'en'),
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('Hindi', 'hi'),
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('Punjabi', 'pa'),
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('Tamil', 'ta'),
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('Bengali', 'bn')
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],
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value='en'
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)
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],
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outputs=gr.Textbox(label="Summary"),
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title="ASOIAF Chapter Summarizer",
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description="Summarizes Game of Thrones chapters with
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)
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# Launch the interface
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if __name__ == "__main__":
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interface.launch(
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import subprocess
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import sys
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from transformers import T5ForConditionalGeneration, T5Tokenizer
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import gradio as gr
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# Install required packages with error handling
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def install(package):
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try:
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subprocess.check_call([sys.executable, "-m", "pip", "install", package])
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except subprocess.CalledProcessError:
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print(f"Failed to install {package}, trying with --user flag")
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subprocess.check_call([sys.executable, "-m", "pip", "install", "--user", package])
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# Install all dependencies
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install('transformers')
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install('sentencepiece')
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install('torch')
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install('gradio')
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# Try multiple translation backends
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translation_backend = None
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try:
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install('translate')
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from translate import Translator as LibreTranslator
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translation_backend = "libretrans"
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except:
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try:
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install('googletrans==3.1.0a0')
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from googletrans import Translator
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translation_backend = "googletrans"
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except:
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print("Warning: No translation backend available")
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class GOTSummarizer:
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def __init__(self):
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self.tokenizer = T5Tokenizer.from_pretrained("t5-small")
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self.model = T5ForConditionalGeneration.from_pretrained("t5-small")
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# Initialize translator based on available backend
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if translation_backend == "libretrans":
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self.translator = LibreTranslator()
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elif translation_backend == "googletrans":
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self.translator = Translator()
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else:
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self.translator = None
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def summarize(self, text, max_length=150):
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inputs = self.tokenizer("summarize: " + text,
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return self.tokenizer.decode(outputs[0], skip_special_tokens=True)
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def translate(self, text, lang='hi'):
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if not self.translator:
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return "[Translation unavailable] " + text
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try:
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if translation_backend == "libretrans":
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return self.translator.translate(text, to_lang=lang)
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else: # googletrans
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return self.translator.translate(text, dest=lang).text
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except Exception as e:
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print(f"Translation error: {e}")
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return text
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interface = gr.Interface(
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fn=process,
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inputs=[
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gr.Textbox(label="Game of Thrones Text", lines=10),
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gr.Dropdown(
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label="Language",
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choices=['en', 'hi', 'pa', 'ta', 'bn'],
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value='en'
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)
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],
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outputs=gr.Textbox(label="Summary"),
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title="ASOIAF Chapter Summarizer",
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description="Summarizes Game of Thrones chapters with optional translation"
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)
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# Launch the interface
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if __name__ == "__main__":
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interface.launch()
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