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from huggingface_hub import InferenceClient | |
import os | |
from dotenv import load_dotenv | |
load_dotenv() | |
API_TOKEN = os.getenv("HF_TOKEN") | |
def format_prompt(session_state ,query, history, chat_client): | |
if chat_client=="NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO" : | |
model_input = f"""<|im_start|>system | |
{session_state.system_instruction} | |
""" | |
for user_prompt, bot_response in history: | |
model_input += f"""<|im_start|>user | |
{user_prompt}<|im_end|> | |
""" | |
model_input += f"""<|im_start|>assistant | |
{bot_response}<|im_end|> | |
""" | |
model_input += f"""<|im_start|>user | |
{query}<|im_end|> | |
<|im_start|>assistant""" | |
return model_input | |
else : | |
model_input = "<s>" | |
for user_prompt, bot_response in history: | |
model_input += f"[INST] {user_prompt} [/INST]" | |
model_input += f" {bot_response}</s> " | |
model_input += f"[INST] {query} [/INST]" | |
return model_input | |
def chat(session_state, query, config): | |
chat_bot_dict = config["CHAT_BOTS"] | |
chat_client = chat_bot_dict[session_state.chat_bot] | |
temperature = session_state.temp | |
max_new_tokens = session_state.max_tokens | |
repetion_penalty = session_state.repetion_penalty | |
history = session_state.history | |
client = InferenceClient(chat_client, token=API_TOKEN) | |
temperature = float(temperature) | |
if temperature < 1e-2: | |
temperature = 1e-2 | |
top_p = float(0.95) | |
generate_kwargs = dict( | |
temperature=temperature, | |
max_new_tokens=max_new_tokens, | |
top_p=top_p, | |
repetition_penalty=repetion_penalty, | |
do_sample=True, | |
seed=42, | |
) | |
formatted_prompt = format_prompt(session_state, query, history, chat_client) | |
stream = client.text_generation( | |
formatted_prompt, | |
**generate_kwargs, | |
stream=True, | |
details=True, | |
return_full_text=False, | |
truncate = 32000 | |
) | |
return stream | |