| import spaces |
| import subprocess |
| import gradio as gr |
| from huggingface_hub import hf_hub_download |
| from llama_cpp import Llama |
| from llama_cpp_agent import LlamaCppAgent |
| from llama_cpp_agent import MessagesFormatterType |
| from llama_cpp_agent.providers import LlamaCppPythonProvider |
|
|
| from llama_index.core.llms import ChatMessage, MessageRole |
| from llama_index.llms.llama_cpp import LlamaCPP |
| from llama_index.llms.llama_cpp.llama_utils import ( |
| messages_to_prompt, |
| completion_to_prompt, |
| ) |
| from llama_index.core.memory import ChatMemoryBuffer |
|
|
| subprocess.run('pip install llama-cpp-python==0.2.75 --extra-index-url https://abetlen.github.io/llama-cpp-python/whl/cu124', env={'CMAKE_ARGS': "-DLLAMA_CUDA=on"}, shell=True) |
|
|
| hf_hub_download(repo_id="TheBloke/Mistral-7B-Instruct-v0.2-GGUF", filename="mistral-7b-instruct-v0.2.Q6_K.gguf", local_dir = "./models") |
|
|
| @spaces.GPU(duration=120) |
| def respond( |
| message, |
| history: list[tuple[str, str]], |
| system_message, |
| max_tokens, |
| temperature, |
| top_p, |
| ): |
| |
| chat_template = '<s>[INST] ' + system_message |
| |
| |
| chat_template += ' ' + message + ' [/INST]' |
|
|
| print(chat_template) |
| |
| llm = LlamaCPP( |
| model_path="models/mistral-7b-instruct-v0.2.Q6_K.gguf", |
| temperature=temperature, |
| max_new_tokens=max_tokens, |
| context_window=2048, |
| generate_kwargs={ |
| "top_k": 50, |
| "top_p": top_p, |
| "repeat_penalty": 1.3 |
| }, |
| model_kwargs={ |
| "n_threads": 0, |
| "n_gpu_layers": 33 |
| }, |
| messages_to_prompt=messages_to_prompt, |
| completion_to_prompt=completion_to_prompt, |
| verbose=True, |
| ) |
| response = "" |
| for chunk in llm.stream_complete(message): |
| print(chunk.delta, end="", flush=True) |
| response += str(chunk.delta) |
| yield response |
|
|
| demo = gr.ChatInterface( |
| respond, |
| additional_inputs=[ |
| gr.Textbox(value="You are a helpful assistant.", 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() |
