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from huggingface_hub import InferenceClient |
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import gradio as gr |
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import torch |
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client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1") |
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def format_prompt(message, history): |
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prompt = "<s>" |
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for user_prompt, bot_response in history: |
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prompt += f"[INST] {user_prompt} [/INST]" |
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prompt += f" {bot_response}</s> " |
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prompt += f"[INST] {message} [/INST]" |
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return prompt |
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def generate( |
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prompt, history, max_new_tokens, temperature, repetition_penalty, top_p, top_k, seed, |
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): |
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if seed == 0: |
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seed = random.randint(1, 100000) |
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torch.manual_seed(seed) |
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else: |
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torch.manual_seed(seed) |
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generate_kwargs = dict( |
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temperature=temperature, |
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max_new_tokens=max_new_tokens, |
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top_p=top_p, |
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top_k=top_k, |
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repetition_penalty=repetition_penalty, |
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do_sample=True, |
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) |
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formatted_prompt = format_prompt(prompt, history) |
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stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False) |
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output = "" |
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for response in stream: |
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output += response.token.text |
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yield output |
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return output |
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additional_inputs=[ |
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gr.Slider( |
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label="Max new tokens", |
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value=1000, |
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minimum=100, |
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maximum=32768, |
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step=64, |
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interactive=True, |
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info="The maximum numbers of new tokens, controls how long is the output", |
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), |
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gr.Slider( |
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label="Temperature", |
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value=0.9, |
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minimum=0.0, |
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maximum=1.0, |
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step=0.05, |
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interactive=True, |
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info="Higher values produce more diverse outputs", |
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), |
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gr.Slider( |
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label="Repetition penalty", |
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value=1.2, |
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minimum=1.0, |
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maximum=2.0, |
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step=0.05, |
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interactive=True, |
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info="Penalize repeated tokens, making the AI repeat less itself", |
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), |
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gr.Slider( |
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label="Top-p (nucleus sampling)", |
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value=0.90, |
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minimum=0.0, |
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maximum=1, |
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step=0.05, |
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interactive=True, |
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info="Higher values sample more low-probability tokens", |
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), |
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gr.Slider( |
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label="Top-k", |
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value=1, |
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minimum=0, |
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maximum=100, |
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step=1, |
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interactive=True, |
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info="Higher k means more diverse outputs by considering a range of tokens", |
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), |
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gr.Number( |
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label="Seed", |
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value=42, |
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minimum=1, |
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info="Use an integer starting point to initiate the generation process, put 0 for a random", |
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), |
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] |
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gr.ChatInterface( |
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fn=generate, |
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chatbot=gr.Chatbot(show_label=False, show_share_button=False, show_copy_button=True, likeable=True, layout="panel"), |
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additional_inputs=additional_inputs, |
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title="Mixtral 8x7b Instruct v0.1", |
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description="Chatbot Hugging Face space made by [Nick088](https://linktr.ee/Nick088) with costumizable options for model: https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1<br>If you get an erorr, you putted a too much high Max_New_Tokens or your prompt is too long, shorten up one of these", |
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).launch(show_api=False, share=True) |