Update app.py
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app.py
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import gradio as gr
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# Load the model
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model_name = "wop/kosmox-gguf"
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model = AutoModel.from_pretrained(model_name)
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# Define the chat template
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chat_template = "{{ bos_token }}{% for message in messages %}{% if message['from'] == 'human' %}{{' ' + message['value'] + ' '}}{% elif message['from'] == 'gpt' %}{{' ' + message['value'] + ' '}}{% else %}{{'<|' + message['from'] + '|> ' + message['value'] + ' '}}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ ' ' }}{% endif %}"
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def
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# Launch the Gradio interface
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demo.launch()
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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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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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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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input_prompt = input_prompt + str(message) + " [/INST] "
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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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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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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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if __name__ == "__main__":
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demo.launch()
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