| import os |
| import gradio as gr |
| import copy |
| from llama_cpp import Llama |
| from huggingface_hub import hf_hub_download |
|
|
|
|
| llm = Llama( |
| model_path=hf_hub_download( |
| repo_id=os.environ.get("REPO_ID", "microsoft/Phi-3-mini-4k-instruct-gguf"), |
| filename=os.environ.get("MODEL_FILE", "Phi-3-mini-4k-instruct-q4.gguf"), |
| ), |
| n_ctx=2048, |
| n_gpu_layers=50, |
| ) |
|
|
|
|
| def generate_text( |
| message, |
| history: list[tuple[str, str]], |
| system_message, |
| max_tokens, |
| temperature, |
| top_p, |
| ): |
| temp = "" |
| input_prompt = f"[INST] <<SYS>>\n{system_message}\n<</SYS>>\n\n " |
| for interaction in history: |
| input_prompt = input_prompt + str(interaction[0]) + " [/INST] " + str(interaction[1]) + " </s><s> [INST] " |
|
|
| input_prompt = input_prompt + str(message) + " [/INST] " |
|
|
| output = llm( |
| input_prompt, |
| temperature=temperature, |
| top_p=top_p, |
| top_k=40, |
| repeat_penalty=1.1, |
| max_tokens=max_tokens, |
| stop=[ |
| "<|prompter|>", |
| "<|endoftext|>", |
| "<|endoftext|> \n", |
| "ASSISTANT:", |
| "USER:", |
| "SYSTEM:", |
| ], |
| stream=True, |
| ) |
| for out in output: |
| stream = copy.deepcopy(out) |
| temp += stream["choices"][0]["text"] |
| yield temp |
|
|
|
|
| demo = gr.ChatInterface( |
| generate_text, |
| title="llama-cpp-python on GPU", |
| description="Running LLM with https://github.com/abetlen/llama-cpp-python", |
| examples=[ |
| ['How to setup a human base on Mars? Give short answer.'], |
| ['Explain theory of relativity to me like I’m 8 years old.'], |
| ['What is 9,000 * 9,000?'], |
| ['Write a pun-filled happy birthday message to my friend Alex.'], |
| ['Justify why a penguin might make a good king of the jungle.'] |
| ], |
| cache_examples=False, |
| retry_btn=None, |
| undo_btn="Delete Previous", |
| clear_btn="Clear", |
| additional_inputs=[ |
| gr.Textbox(value="You are a friendly Chatbot.", label="System message"), |
| gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"), |
| gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"), |
| gr.Slider( |
| minimum=0.1, |
| maximum=1.0, |
| value=0.95, |
| step=0.05, |
| label="Top-p (nucleus sampling)", |
| ), |
| ], |
| ) |
|
|
|
|
| if __name__ == "__main__": |
| demo.launch() |
|
|
|
|
