| from transformers import T5ForConditionalGeneration, T5Tokenizer |
| from googletrans import Translator |
|
|
| class GOTSummarizer: |
| def __init__(self): |
| self.model = T5ForConditionalGeneration.from_pretrained("yourusername/got_summarizer") |
| self.tokenizer = T5Tokenizer.from_pretrained("yourusername/got_summarizer") |
| self.translator = Translator() |
| |
| def summarize(self, text, max_length=150): |
| inputs = self.tokenizer("summarize: " + text, return_tensors="pt", truncation=True) |
| outputs = self.model.generate(**inputs, max_length=max_length) |
| return self.tokenizer.decode(outputs[0], skip_special_tokens=True) |
| |
| def translate(self, text, lang='hi'): |
| return self.translator.translate(text, dest=lang).text |
