| import gradio as gr |
| from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline |
|
|
| model_id = "codellama/CodeLlama-34b-hf" |
|
|
| tokenizer = AutoTokenizer.from_pretrained(model_id) |
| model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto", torch_dtype="auto") |
|
|
| pipe = pipeline("text-generation", model=model, tokenizer=tokenizer) |
|
|
| def generate_code(prompt): |
| output = pipe(prompt, max_new_tokens=200, do_sample=True, temperature=0.7) |
| return output[0]["generated_text"] |
|
|
| gr.Interface(fn=generate_code, inputs="text", outputs="text", title="Code Llama Playground").launch() |
|
|
