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Create app.py

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  1. app.py +87 -0
app.py ADDED
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+ import os
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+ import gradio as gr
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+ import copy
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+ from llama_cpp import Llama
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+ from huggingface_hub import hf_hub_download
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+
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+
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+ llm = Llama(
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+ model_path=hf_hub_download(
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+ repo_id=os.environ.get("REPO_ID", "microsoft/Phi-3-mini-4k-instruct-gguf"),
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+ filename=os.environ.get("MODEL_FILE", "Phi-3-mini-4k-instruct-q4.gguf"),
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+ ),
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+ n_ctx=2048,
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+ n_gpu_layers=50, # change n_gpu_layers if you have more or less VRAM
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+ )
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+
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+
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+ def generate_text(
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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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+ temp = ""
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+ input_prompt = f"[INST] <<SYS>>\n{system_message}\n<</SYS>>\n\n "
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+ for interaction in history:
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+ input_prompt = input_prompt + str(interaction[0]) + " [/INST] " + str(interaction[1]) + " </s><s> [INST] "
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+
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+ input_prompt = input_prompt + str(message) + " [/INST] "
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+
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+ output = llm(
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+ input_prompt,
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+ temperature=temperature,
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+ top_p=top_p,
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+ top_k=40,
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+ repeat_penalty=1.1,
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+ max_tokens=max_tokens,
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+ stop=[
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+ "<|prompter|>",
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+ "<|endoftext|>",
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+ "<|endoftext|> \n",
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+ "ASSISTANT:",
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+ "USER:",
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+ "SYSTEM:",
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+ ],
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+ stream=True,
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+ )
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+ for out in output:
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+ stream = copy.deepcopy(out)
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+ temp += stream["choices"][0]["text"]
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+ yield temp
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+
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+
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+ demo = gr.ChatInterface(
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+ generate_text,
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+ title="llama-cpp-python on GPU",
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+ description="Running LLM with https://github.com/abetlen/llama-cpp-python",
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+ examples=[
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+ ['How to setup a human base on Mars? Give short answer.'],
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+ ['Explain theory of relativity to me like I’m 8 years old.'],
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+ ['What is 9,000 * 9,000?'],
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+ ['Write a pun-filled happy birthday message to my friend Alex.'],
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+ ['Justify why a penguin might make a good king of the jungle.']
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+ ],
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+ cache_examples=False,
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+ retry_btn=None,
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+ undo_btn="Delete Previous",
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+ clear_btn="Clear",
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+ additional_inputs=[
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+ gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
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+ gr.Slider(minimum=1, maximum=2048, value=512, 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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+ )
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+
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+
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+ if __name__ == "__main__":
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+ demo.launch()