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fine_tuned_model = "ashioyajotham/results"
def generate_code(input_text):
inputs = tokenizer.encode(input_text, return_tensors='pt')
# Use your fine-tuned model to generate code here
generated_code = fine_tuned_model.generate(input_text, max_length=100, temperature = .7, do_sample=True, pad_token_id=tokenizer.eos_token_id)
completion = tokenizer.decode(generated_code[0])
return completion
import gradio as gr
iface = gr.Interface(
fn=generate_code,
inputs="text",
outputs="text",
title="Code Generation App",
description="Generate code from text input."
)
iface.launch()
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