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

# Gradio UI
def check_code(input_code):
    return review_code(input_code)

# Create a Gradio Interface
interface = gr.Interface(
    fn=check_code,
    inputs=gr.Textbox(label="Enter Python Code"),
    outputs=gr.Textbox(label="Reviewed Code"),
    title="AI Code Reviewer"
)

# Launch the app
interface.launch()