sithumonline/llama-cpp-python-cpu-gradio
7
1import os2import gradio as gr3import copy4from llama_cpp import Llama5from huggingface_hub import hf_hub_download 6 7 8llm = Llama(9 model_path=hf_hub_download(10 repo_id=os.environ.get("REPO_ID", "microsoft/Phi-3-mini-4k-instruct-gguf"),11 filename=os.environ.get("MODEL_FILE", "Phi-3-mini-4k-instruct-q4.gguf"),12 ),13 n_ctx=2048,14 n_gpu_layers=50, # change n_gpu_layers if you have more or less VRAM 15) 16 17 18def generate_text(19 message,20 history: list[tuple[str, str]],21 system_message,22 max_tokens,23 temperature,24 top_p,25):26 temp = ""27 input_prompt = f"[INST] <<SYS>>\n{system_message}\n<</SYS>>\n\n "28 for interaction in history:29 input_prompt = input_prompt + str(interaction[0]) + " [/INST] " + str(interaction[1]) + " </s><s> [INST] "30 31 input_prompt = input_prompt + str(message) + " [/INST] "32 33 output = llm(34 input_prompt,35 temperature=temperature,36 top_p=top_p,37 top_k=40,38 repeat_penalty=1.1,39 max_tokens=max_tokens,40 stop=[41 "<|prompter|>",42 "<|endoftext|>",43 "<|endoftext|> \n",44 "ASSISTANT:",45 "USER:",46 "SYSTEM:",47 ],48 stream=True,49 )50 for out in output:51 stream = copy.deepcopy(out)52 temp += stream["choices"][0]["text"]53 yield temp54 55 56demo = gr.ChatInterface(57 generate_text,58 title="llama-cpp-python on GPU",59 description="Running LLM with https://github.com/abetlen/llama-cpp-python",60 examples=[61 ['How to setup a human base on Mars? Give short answer.'],62 ['Explain theory of relativity to me like I’m 8 years old.'],63 ['What is 9,000 * 9,000?'],64 ['Write a pun-filled happy birthday message to my friend Alex.'],65 ['Justify why a penguin might make a good king of the jungle.']66 ],67 cache_examples=False,68 retry_btn=None,69 undo_btn="Delete Previous",70 clear_btn="Clear",71 additional_inputs=[72 gr.Textbox(value="You are a friendly Chatbot.", label="System message"),73 gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),74 gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),75 gr.Slider(76 minimum=0.1,77 maximum=1.0,78 value=0.95,79 step=0.05,80 label="Top-p (nucleus sampling)",81 ),82 ],83)84 85 86if __name__ == "__main__":87 demo.launch()88 89 