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from huggingface_hub import InferenceClient | |
import gradio as gr | |
client = InferenceClient( | |
"mistralai/Mixtral-8x7B-Instruct-v0.1" | |
) | |
def format_prompt(message, history): | |
prompt = """<s>Your name is Nurse Nkiru ,you are a health chatbot, your role is to give patients diagnosis based on their inputs , | |
the diagnosis given to them should be short and concise , also you generally give further health advise after the diagnosis , if you are asked a question that is outside the domain of the health field like writing code or poems, | |
refuse by saying you are a health chatbot who only gives medical advice and then stop immediately, | |
now reply the following input""" | |
for user_prompt, bot_response in history: | |
prompt += f"[INST] {user_prompt} [/INST]" | |
prompt += f" {bot_response}</s> " | |
prompt += f"[INST] {message} [/INST]" | |
return prompt | |
def generate( | |
prompt, history, temperature=0.1, max_new_tokens=256, top_p=0.95, repetition_penalty=1.0, | |
): | |
temperature = float(temperature) | |
if temperature < 1e-2: | |
temperature = 1e-2 | |
top_p = float(top_p) | |
generate_kwargs = dict( | |
temperature=temperature, | |
max_new_tokens=max_new_tokens, | |
top_p=top_p, | |
repetition_penalty=repetition_penalty, | |
do_sample=True, | |
seed=42, | |
) | |
formatted_prompt = format_prompt(f"{prompt}", history) | |
stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False) | |
output = "" | |
for response in stream: | |
output += response.token.text | |
yield output | |
return output | |
additional_inputs=[ | |
gr.Slider( | |
label="Temperature", | |
value=0.1, | |
minimum=0.0, | |
maximum=1.0, | |
step=0.1, | |
interactive=True, | |
info="Higher values produce more diverse outputs", | |
), | |
gr.Slider( | |
label="Max new tokens", | |
value=256, | |
minimum=0, | |
maximum=1048, | |
step=64, | |
interactive=True, | |
info="The maximum numbers of new tokens", | |
), | |
gr.Slider( | |
label="Top-p (nucleus sampling)", | |
value=0.90, | |
minimum=0.0, | |
maximum=1, | |
step=0.05, | |
interactive=True, | |
info="Higher values sample more low-probability tokens", | |
), | |
gr.Slider( | |
label="Repetition penalty", | |
value=1.2, | |
minimum=1.0, | |
maximum=2.0, | |
step=0.05, | |
interactive=True, | |
info="Penalize repeated tokens", | |
) | |
] | |
examples=[["A cement truck fell on my parents , what do I do?", None, None, None, None, None, ], | |
["How can i prevent myself from dying from a concussion , if i ever find myself in one", None, None, None, None, None,], | |
["What nutrition advice do you have for a woman after pregnancy.", None, None, None, None, None,], | |
] | |
gr.ChatInterface( | |
fn=generate, | |
chatbot=gr.Chatbot(show_label=False, show_share_button=False, show_copy_button=True, likeable=True, layout="panel"), | |
additional_inputs=additional_inputs, | |
title="Nurse Nkiru 💉 ", | |
examples=examples, | |
concurrency_limit=20, | |
theme = gr.themes.Default(primary_hue= gr.themes.colors.red, secondary_hue=gr.themes.colors.pink) | |
).launch(show_api=False) |