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summary-gen
Browse files
app.py
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from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
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model_name = "Salesforce/codet5-base"
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model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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def generate_summary(code_snippet):
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inputs = tokenizer(code_snippet, return_tensors="pt", truncation=True, padding="max_length", max_length=512)
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summary_ids = model.generate(inputs.input_ids, max_length=150, num_beams=4, length_penalty=2.0, early_stopping=True)
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summary = tokenizer.decode(summary_ids[0], skip_special_tokens=True)
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return summary
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# Example C# method
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code_snippet = """
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public int Add(int a, int b) {
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return a + b;
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}
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"""
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summary = generate_summary(code_snippet)
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print("Summary:", summary)
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