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from huggingface_hub import InferenceClient |
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import gradio as gr |
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import random |
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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, system_prompt, temperature=0.9, max_new_tokens=256, top_p=0.95, repetition_penalty=1.0, |
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): |
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temperature = float(temperature) |
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if temperature < 1e-2: |
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temperature = 1e-2 |
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top_p = float(top_p) |
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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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repetition_penalty=repetition_penalty, |
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do_sample=True, |
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seed=random.randint(1, 99999) |
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) |
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print(" your prompt: "+prompt) |
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formatted_prompt = format_prompt(f"{system_prompt}, {prompt}", history) |
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stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, |
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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.Textbox( |
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label="System Prompt", |
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max_lines=1, |
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interactive=True, |
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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="Max new tokens", |
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value=1048, |
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minimum=0, |
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maximum=1048 * 10, |
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step=64, |
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interactive=True, |
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info="The maximum numbers of new tokens", |
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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="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", |
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) |
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] |
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examples = [[ |
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"I'm planning a vacation to Japan. Can you suggest a one-week itinerary including must-visit places and local cuisines to try?", |
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None, None, None, None, None, ], |
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["Can you write a short story about a time-traveling detective who solves historical mysteries?", None, |
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None, None, None, None, ], |
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[ |
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"I'm trying to learn French. Can you provide some common phrases that would be useful for a beginner, along with their pronunciations?", |
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None, None, None, None, None, ], |
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[ |
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"I have chicken, rice, and bell peppers in my kitchen. Can you suggest an easy recipe I can make with these ingredients?", |
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None, None, None, None, None, ], |
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["Can you explain how the QuickSort algorithm works and provide a Python implementation?", None, None, None, |
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None, None, ], |
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[ |
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"What are some unique features of Rust that make it stand out compared to other systems programming languages like C++?", |
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None, None, None, None, None, ], |
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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=True, show_share_button=True, show_copy_button=True, likeable=True, layout="panel"), |
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additional_inputs=additional_inputs, |
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title="Chat Example", |
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examples=examples, |
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concurrency_limit=20, |
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).launch(show_api=True) |
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