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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()
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