app.py

import gradio as gr
from transformers import LlamaTokenizer, LlamaForCausalLM

# Load the model and tokenizer
model_name = "meta-llama/CodeLlama-7b"
tokenizer = LlamaTokenizer.from_pretrained(model_name)
model = LlamaForCausalLM.from_pretrained(model_name)

# Define the function to generate code
def generate_code(prompt):
    inputs = tokenizer(prompt, return_tensors="pt")
    outputs = model.generate(**inputs, max_new_tokens=100)
    return tokenizer.decode(outputs[0], skip_special_tokens=True)

# Create the Gradio interface
interface = gr.Interface(
    fn=generate_code,
    inputs=gr.Textbox(lines=5, placeholder="Enter your prompt here..."),
    outputs="text",
    title="Code Llama",
    description="Generate code using Code Llama."
)

# Launch the app
interface.launch()