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from transformers import AutoModelForCausalLM, AutoTokenizer
import gradio as gr
# Load Hugging Face's CodeGen model
model_name = "Salesforce/codegen-2B-multi"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)
# Function to review Python code
def review_code(code_snippet):
inputs = tokenizer(code_snippet, return_tensors="pt")
outputs = model.generate(**inputs, max_length=512)
reviewed_code = tokenizer.decode(outputs[0], skip_special_tokens=True)
return reviewed_code
# Function to handle UI logic
def check_code(input_code):
reviewed_code = review_code(input_code)
return input_code, reviewed_code, reviewed_code # Return all for UI & download
# Gradio UI with Side-by-Side Comparison & Download Option
interface = gr.Interface(
fn=check_code,
inputs=gr.Textbox(label="Enter Python Code"),
outputs=[
gr.Textbox(label="Original Code", interactive=False), # Left side
gr.Textbox(label="Reviewed Code", interactive=False), # Right side
gr.File(label="Download Reviewed Code") # Download button
],
title="AI Code Reviewer",
description="📌 Enter Python code and get a reviewed version. Download the reviewed code as a file.",
allow_flagging="never"
)
# Launch the app
interface.launch(share=True) # share=True allows public access
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