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import spaces |
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import json |
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import subprocess |
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import gradio as gr |
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from huggingface_hub import hf_hub_download |
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subprocess.run('pip install llama-cpp-python==0.2.75 --extra-index-url https://abetlen.github.io/llama-cpp-python/whl/cu124', shell=True) |
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subprocess.run('pip install llama-cpp-agent==0.2.10', shell=True) |
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hf_hub_download(repo_id="bartowski/Meta-Llama-3-70B-Instruct-GGUF", filename="Meta-Llama-3-70B-Instruct-Q3_K_M.gguf", local_dir = "./models") |
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@spaces.GPU(duration=120) |
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def respond( |
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message, |
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history: list[tuple[str, str]], |
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system_message, |
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max_tokens, |
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temperature, |
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top_p, |
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): |
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from llama_cpp import Llama |
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from llama_cpp_agent import LlamaCppAgent |
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from llama_cpp_agent import MessagesFormatterType |
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from llama_cpp_agent.providers import LlamaCppPythonProvider |
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from llama_cpp_agent.chat_history import BasicChatHistory |
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from llama_cpp_agent.chat_history.messages import Roles |
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llm = Llama( |
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model_path="models/Meta-Llama-3-70B-Instruct-Q3_K_M.gguf", |
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n_gpu_layers=81, |
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) |
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provider = LlamaCppPythonProvider(llm) |
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agent = LlamaCppAgent( |
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provider, |
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system_prompt="You are a helpful assistant.", |
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predefined_messages_formatter_type=MessagesFormatterType.LLAMA_3, |
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debug_output=True |
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) |
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settings = provider.get_provider_default_settings() |
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settings.max_tokens = max_tokens |
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settings.stream = True |
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messages = BasicChatHistory() |
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print("history") |
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print(history) |
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for msn in history: |
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user = { |
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'role': Roles.user, |
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'content': msn[0] |
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} |
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assistant = { |
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'role': Roles.assistant, |
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'content': msn[1] |
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} |
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print(user) |
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print(assistant) |
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messages.add_message(user) |
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messages.add_message(assistant) |
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stream = agent.get_chat_response(message, llm_sampling_settings=settings, chat_history=messages, returns_streaming_generator=True, print_output=False) |
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outputs = "" |
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for output in stream: |
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outputs += output |
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yield outputs |
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demo = gr.ChatInterface( |
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respond, |
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additional_inputs=[ |
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gr.Textbox(value="You are a helpful assistant.", label="System message"), |
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gr.Slider(minimum=1, maximum=4096, value=4096, step=1, label="Max new tokens"), |
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gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"), |
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gr.Slider( |
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minimum=0.1, |
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maximum=1.0, |
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value=0.95, |
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step=0.05, |
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label="Top-p (nucleus sampling)", |
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), |
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], |
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theme=gr.themes.Soft(primary_hue="green", secondary_hue="indigo", neutral_hue="zinc",font=[gr.themes.GoogleFont("Exo 2"), "ui-sans-serif", "system-ui", "sans-serif"]).set( |
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block_background_fill_dark="*neutral_800" |
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) |
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) |
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if __name__ == "__main__": |
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demo.launch() |
