import gradio as gr
from huggingface_hub import InferenceClient
import random
# Define the model to be used
model = "mistralai/Mixtral-8x7B-Instruct-v0.1"
client = InferenceClient(model)
# Embedded system prompt
system_prompt_text = "You are a smart and helpful co-worker of Thailand based multi-national company PTT, and PTTEP. You help with any kind of request and provide a detailed answer to the question."
def format_prompt_mixtral(message, history):
prompt = ""
if history:
for user_prompt, bot_response in history:
prompt += f"[INST] {user_prompt} [/INST]"
prompt += f" {bot_response} "
prompt += f"[INST] {message} [/INST]"
return prompt
def chat_inf(prompt, history, seed, temp, tokens, top_p, rep_p):
# Prepend the system prompt to the user prompt
full_prompt = f"{system_prompt_text}, {prompt}"
generate_kwargs = dict(
temperature=temp,
max_new_tokens=tokens,
top_p=top_p,
repetition_penalty=rep_p,
do_sample=True,
seed=seed,
)
formatted_prompt = format_prompt_mixtral(full_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 [(prompt, output)]
history.append((prompt, output))
yield history
def clear_fn():
return None, None, None
rand_val = random.randint(1, 1111111111111111)
def check_rand(inp, val):
if inp:
return gr.Slider(label="Seed", minimum=1, maximum=1111111111111111, value=random.randint(1, 1111111111111111))
else:
return gr.Slider(label="Seed", minimum=1, maximum=1111111111111111, value=int(val))
with gr.Blocks() as app:
gr.HTML("""
{system_prompt_text}
") # Display the system prompt with gr.Row(): with gr.Column(scale=2): btn = gr.Button("Chat") with gr.Column(scale=1): with gr.Group(): stop_btn = gr.Button("Stop") clear_btn = gr.Button("Clear") with gr.Column(scale=1): with gr.Group(): rand = gr.Checkbox(label="Random Seed", value=True) seed = gr.Slider(label="Seed", minimum=1, maximum=1111111111111111, step=1, value=rand_val) tokens = gr.Slider(label="Max new tokens", value=3840, minimum=0, maximum=8000, step=64, interactive=True, visible=True, info="The maximum number of tokens") temp = gr.Slider(label="Temperature", step=0.01, minimum=0.01, maximum=1.0, value=0.9) top_p = gr.Slider(label="Top-P", step=0.01, minimum=0.01, maximum=1.0, value=0.9) rep_p = gr.Slider(label="Repetition Penalty", step=0.1, minimum=0.1, maximum=2.0, value=1.0) hid1 = gr.Number(value=1, visible=False) go = btn.click(check_rand, [rand, seed], seed).then(chat_inf, [inp, chat, seed, temp, tokens, top_p, rep_p], chat) stop_btn.click(None, None, None, cancels=[go]) clear_btn.click(clear_fn, None, [inp, sys_inp, chat]) app.queue(default_concurrency_limit=10).launch()