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import gradio as gr |
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import spaces |
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import torch |
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from huggingface_hub import InferenceClient |
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import os |
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""" |
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For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference |
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""" |
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client = InferenceClient("HuggingFaceH4/zephyr-7b-beta") |
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token=os.getenv('token') |
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print('token = ',token) |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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model_id = "mistralai/Mistral-7B-v0.3" |
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model_id = "mistralai/Mixtral-8x7B-Instruct-v0.1" |
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tokenizer = AutoTokenizer.from_pretrained(model_id, token= token) |
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model = AutoModelForCausalLM.from_pretrained(model_id, token= token, torch_dtype=torch.bfloat16,) |
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@spaces.GPU(duration=180) |
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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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messages = [ |
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{"role": "user", "content": "What is your favourite condiment?"}, |
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{"role": "assistant", "content": "Well, I'm quite partial to a good squeeze of fresh lemon juice. It adds just the right amount of zesty flavour to whatever I'm cooking up in the kitchen!"}, |
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{"role": "user", "content": "Do you have mayonnaise recipes?"} |
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] |
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inputs = tokenizer.apply_chat_template(messages, return_tensors="pt").to("cuda") |
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outputs = model.generate(inputs, max_new_tokens=2000) |
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gen_text=tokenizer.decode(outputs[0], skip_special_tokens=True) |
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print(gen_text) |
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yield gen_text |
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""" |
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For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface |
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""" |
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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 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() |