File size: 2,507 Bytes
eb97e7b ad2a5bc eb97e7b |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 |
from transformers import AutoModelForCausalLM, AutoTokenizer
import gradio as gr
import torch
import tempfile # ✅ Import tempfile to create temp files
# ✅ Load the fastest model on CPU
model_name = "Salesforce/codegen-350M-mono" # Fastest model for code review
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name).to("cpu") # Force CPU mode
# ✅ Function to review Python code with debug logs
def review_code(code_snippet):
print("✅ Received Code:", code_snippet) # Debugging log
# Process input
inputs = tokenizer(code_snippet, return_tensors="pt").to("cpu") # Move to CPU
outputs = model.generate(
**inputs,
max_length=50, # ✅ Reduced token generation to prevent hallucinations
do_sample=False,
num_beams=3,
repetition_penalty=2.0 # ✅ Penalizes repetitive text generation
)
# Check if the model generated output
if outputs is None:
print("❌ Model did not generate output!") # Debugging log
return "Error: Model did not generate output."
reviewed_code = tokenizer.decode(outputs[0], skip_special_tokens=True)
print("✅ Generated Code:", reviewed_code) # Debugging log
# ✅ Write reviewed code to a temporary file for download
temp_file_path = tempfile.NamedTemporaryFile(delete=False, suffix=".txt").name
with open(temp_file_path, "w") as temp_file:
temp_file.write(reviewed_code)
return reviewed_code, temp_file_path # ✅ Return reviewed code & file path
# ✅ Handle user input and return reviewed code
def check_code(input_code):
reviewed_code, file_path = review_code(input_code)
return input_code, reviewed_code, file_path # ✅ Correctly return file path
# ✅ Gradio UI with Side-by-Side Comparison & Fixed 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") # ✅ Fixed 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 app (Fixes font issues and removes `share=True`)
interface.launch(server_name="0.0.0.0", server_port=7860, show_error=True)
|