Spaces:
Sleeping
Sleeping
File size: 4,308 Bytes
dd5d418 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 |
# from huggingface_hub import InferenceClient
import gradio as gr
import time
from transformers import AutoModelForCausalLM, AutoTokenizer
model_id = "mistralai/Mixtral-8x7B-Instruct-v0.1"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)
# client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
#client = InferenceClient("meta-llama/Llama-2-70b-chat-hf")
def split_list(lst, chunk_size):
return [lst[i:i + chunk_size] for i in range(0, len(lst), chunk_size)]
def format_prompt(message, history, system_prompt):
prompt = f"<s>[INST] <<SYS>>{system_prompt}<</SYS>> [/INST] </s>" if system_prompt else "<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 format_sys_prompt(username, botname, botpersonality, botexamplechat, chatsituation):
return f"You are a fictional character named \"{botname}\"\nHowever, don\'t say we\'re roleplaying, as to not break the immersion.\n\nPersonality of {botname}:\n{botpersonality}\n\nCurrent situation/place/time of this conversation:\n{chatsituation}\n\nIn this case, you will be talking to \"{username}\". You should not help to talk or act as \"{username}\". Leave everything by the user.\n\nChat formatting:\nChat: <\"Hello, this is a chat text. Chat text is enclosed with < as the starting point and > as the ending point.\">\nExample:\n{botexamplechat}"
def generate(
prompt, history, username, botname, botpersonality, botexamplechat, chatsituation, shouldoverridehistory, historyoverride, max_new_tokens=1024, temperature=1.2, top_p=0.95, repetition_penalty=1.0,
):
print(history)
print(historyoverride)
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=round(time.time()),
)
if shouldoverridehistory:
history = split_list(historyoverride[0], 2)
print(history)
formatted_prompt = format_prompt(prompt, history, format_sys_prompt(username, botname, botpersonality, botexamplechat, chatsituation))
inputs = tokenizer(formatted_prompt, return_tensors="pt")
outputs = model.generate(formatted_prompt, **generate_kwargs)
return tokenizer.decode(outputs[0], skip_special_tokens=True)
mychatbot = gr.Chatbot(
avatar_images=["./user.png", "./user.png"], bubble_full_width=False, show_label=False, show_copy_button=True, likeable=True,)
demo = gr.ChatInterface(fn=generate,
chatbot=mychatbot,
title="Joystick's Mixtral Chat-optimized interface",
retry_btn="🔁 Regenerate",
undo_btn="↩️ Undo",
additional_inputs=[
gr.Textbox(label="Name of user", lines=1, value="Jake"),
gr.Textbox(label="Name of bot", lines=1, value="Janet"),
gr.Textbox(label="Personality of bot", lines=3, value="Janet's a lovely person. A woman, blue eyed, glasses, smart and looks stunning."),
gr.Textbox(label="Example of bot chat", lines=3, value='<"Oh hey Jake!"> She said to Jake as he hurries to him. <"How are you?">'),
gr.Textbox(label="Current conversation situation", lines=2, value="It was a Friday afternoon, after-school hours, it was outside of school. Jake and Janet met each other at the entrance of the school."),
gr.Checkbox(label="Override history: History should be in the following format: user-bot-user-bot-user-...\nOverride history should be checked in order for it to be effective. Override primarily only used for APIs.", value=False),
gr.List(label="History", value=None, row_count=(1, "fixed"), headers=None),
gr.Slider(label="Max new tokens", maximum=2048, value=512)
]
)
demo.queue().launch(show_api=True) |