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HemaSowjanya
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Create code_summarizer.py
Browse files- code_summarizer.py +11 -0
code_summarizer.py
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from transformers import RobertaTokenizer, T5ForConditionalGeneration
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def query(user_prompt):
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tokenizer = RobertaTokenizer.from_pretrained('Salesforce/codet5-base-multi-sum')
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model = T5ForConditionalGeneration.from_pretrained('Salesforce/codet5-base-multi-sum')
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prompt=f"""<|system|>\nYou are an intelligent chatbot and an expert in python programming language.
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Your task is to understand and summarize</s>\n<|user|>\n {user_prompt}\n<|assistant|>"""
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input_ids = tokenizer(prompt, return_tensors="pt").input_ids
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generated_ids = model.generate(input_ids, max_length=20)
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return tokenizer.decode(generated_ids[0], skip_special_tokens=True)
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