| import gradio as gr | |
| from transformers import AutoModelForSeq2SeqLM, AutoTokenizer | |
| model_name = "Salesforce/codet5p-220m" | |
| tokenizer = AutoTokenizer.from_pretrained(model_name) | |
| model = AutoModelForSeq2SeqLM.from_pretrained(model_name) | |
| def generate_code(input_text): | |
| inputs = tokenizer(input_text, return_tensors="pt") | |
| outputs = model.generate(**inputs) | |
| return tokenizer.decode(outputs[0], skip_special_tokens=True) | |
| iface = gr.Interface( | |
| fn=generate_code, | |
| inputs=gr.Textbox(lines=5, label="Input Text"), | |
| outputs=gr.Textbox(lines=10, label="Generated Code"), | |
| title="CodeT5p-220m Code Generation", | |
| description="Generate code snippets using Salesforce/codet5p-220m model" | |
| ) | |
| if __name__ == "__main__": | |
| iface.launch() | |