Create app.py

app.py

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+from transformers import AutoModelForCausalLM, AutoTokenizer
+import gradio as gr
+
+# Load the DeepSeek-Coder model
+model_name = "deepseek-ai/deepseek-coder-6.7b-instruct"  # You can use any LLaMA-based model
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+# Function to generate comments
+def generate_code_comments(code_snippet):
+    prompt = f"### Code:\n{code_snippet}\n### Add meaningful comments to this code:\n"
+    inputs = tokenizer(prompt, return_tensors="pt", padding=True, truncation=True, max_length=512)
+    outputs = model.generate(**inputs, max_length=512)
+    commented_code = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return commented_code
+
+# Create Gradio interface
+iface = gr.Interface(
+    fn=generate_code_comments,
+    inputs="text",
+    outputs="text",
+    title="AI Code Comment Generator",
+    description="Enter a code snippet, and the AI will add meaningful comments.",
+)
+
+iface.launch()