Create app.py

app.py

@@ -0,0 +1,36 @@
+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