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from huggingface_hub import InferenceClient
import gradio as gr
import random
client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
from prompts import GAME_MASTER, COMPRESS_HISTORY
def format_prompt(message, history):
prompt=""
'''
prompt = "<s>"
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 compress_history(purpose, task, history):
resp = run_gpt(
COMPRESS_HISTORY,
stop_tokens=["observation:", "task:", "action:", "thought:"],
max_tokens=512,
seed=random.randint(1,1000000000),
purpose=purpose,
task=task,
history=history,
)
history = resp
return history
MAX_HISTORY=100
def generate(
prompt, history, system_prompt, temperature=0.9, 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=random.randint(1,99999999999)
#seed=42,
)
cnt=0
for ea in history:
print (ea)
for l in ea:
print (l)
cnt+=len(l.split("\n"))
print(f'cnt:: {cnt}')
if cnt > MAX_HISTORY:
history = compress_history(history, prompt, history)
formatted_prompt = format_prompt(f"{GAME_MASTER}, {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.Textbox(
label="System Prompt",
max_lines=1,
interactive=True,
),
gr.Slider(
label="Temperature",
value=0.9,
minimum=0.0,
maximum=1.0,
step=0.05,
interactive=True,
info="Higher values produce more diverse outputs",
),
gr.Slider(
label="Max new tokens",
value=1048,
minimum=0,
maximum=1048*10,
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=[["Start the Game", None, None, None, None, None, ],
["Start a Game based in the year 1322", 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="Mixtral RPG Game Master",
examples=examples,
concurrency_limit=20,
).launch(share=True,show_api=True) |