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()