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import torch
import gradio as gr
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline, logging
checkpoint = "Salesforce/codet5p-770m"
tokenizer = AutoTokenizer.from_pretrained(checkpoint, trust_remote_code=True)
model = AutoModelForSeq2SeqLM.from_pretrained(checkpoint, cache_dir="models/")
def code_gen(text):
logging.set_verbosity(logging.CRITICAL)
print("*** Pipeline:")
pipe = pipeline(
model=checkpoint,
# tokenizer=tokenizer,
max_new_tokens=124,
temperature=0.7,
top_p=0.95,
device= "cuda" if torch.cuda.is_available() else "cpu",
repetition_penalty=1.15
)
response = pipe(text)
print(response)
return response[0]['generated_text']
iface = gr.Interface(fn=code_gen,
inputs=gr.inputs.Textbox(
label="Input Source Code"),
outputs="text",
title="Code Generation")
iface.launch()
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