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| import transformers | |
| def generate(idea): | |
| # Load the code generation model | |
| model_name = "Salesforce/codegen-350M-mono" | |
| model = transformers.AutoModelForCausalLM.from_pretrained(model_name) | |
| tokenizer = transformers.AutoTokenizer.from_pretrained(model_name) | |
| # Generate the code | |
| input_text = f""" | |
| # Idea: {idea} | |
| # Code: | |
| """ | |
| input_ids = tokenizer.encode(input_text, return_tensors="pt") | |
| output_sequences = model.generate( | |
| input_ids=input_ids, | |
| max_length=1024, | |
| num_return_sequences=1, | |
| no_repeat_ngram_size=2, | |
| early_stopping=True, | |
| ) | |
| generated_code = tokenizer.decode(output_sequences[0], skip_special_tokens=True) | |
| return generated_code |