Spaces:
Running
Running
File size: 4,661 Bytes
0231e6a 460e2a9 0231e6a 460e2a9 0231e6a 460e2a9 0231e6a 460e2a9 0231e6a 460e2a9 0231e6a 460e2a9 |
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 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 |
import gradio as gr
from openai import OpenAI
import os
from typing import List
import logging
# add logging info to console
logging.basicConfig(level=logging.INFO)
BASE_URL = "https://api.together.xyz/v1"
DEFAULT_API_KEY = os.getenv("TOGETHER_API_KEY")
import urllib.request
URIAL_VERSION = "inst_1k_v4.help"
urial_url = f"https://raw.githubusercontent.com/Re-Align/URIAL/main/urial_prompts/{URIAL_VERSION}.txt"
urial_prompt = urllib.request.urlopen(urial_url).read().decode('utf-8')
urial_prompt = urial_prompt.replace("```", '"""')
stop_str = ['"""', '# Query:', '# Answer:']
def urial_template(urial_prompt, history, message):
current_prompt = urial_prompt + "\n"
for user_msg, ai_msg in history:
current_prompt += f'# Query:\n"""\n{user_msg}\n"""\n\n# Answer:\n"""\n{ai_msg}\n"""\n\n'
current_prompt += f'# Query:\n"""\n{message}\n"""\n\n# Answer:\n"""\n'
return current_prompt
def openai_base_request(
model: str=None,
temperature: float=0,
max_tokens: int=512,
top_p: float=1.0,
prompt: str=None,
n: int=1,
repetition_penalty: float=1.0,
stop: List[str]=None,
api_key: str=None,
):
if api_key is None:
api_key = DEFAULT_API_KEY
client = OpenAI(api_key=api_key, base_url=BASE_URL)
# print(f"Requesting chat completion from OpenAI API with model {model}")
logging.info(f"Requesting chat completion from OpenAI API with model {model}")
logging.info(f"Prompt: {prompt}")
logging.info(f"Temperature: {temperature}")
logging.info(f"Max tokens: {max_tokens}")
logging.info(f"Top-p: {top_p}")
logging.info(f"Repetition penalty: {repetition_penalty}")
logging.info(f"Stop: {stop}")
request = client.completions.create(
model=model,
prompt=prompt,
temperature=float(temperature),
max_tokens=int(max_tokens),
top_p=float(top_p),
n=n,
extra_body={'repetition_penalty': float(repetition_penalty)},
stop=stop,
stream=True
)
return request
def respond(
message,
history: list[tuple[str, str]],
max_tokens,
temperature,
top_p,
rp,
model_name,
together_api_key
):
global stop_str, urial_prompt
rp = 1.0
prompt = urial_template(urial_prompt, history, message)
if model_name == "Llama-3-8B":
_model_name = "meta-llama/Llama-3-8b-hf"
elif model_name == "Llama-3-70B":
_model_name = "meta-llama/Llama-3-70b-hf"
else:
raise ValueError("Invalid model name")
# _model_name = "meta-llama/Llama-3-8b-hf"
if together_api_key and len(together_api_key) == 64:
api_key = together_api_key
else:
api_key = DEFAULT_API_KEY
request = openai_base_request(prompt=prompt, model=_model_name,
temperature=temperature,
max_tokens=max_tokens,
top_p=top_p,
repetition_penalty=rp,
stop=stop_str, api_key=api_key)
response = ""
for msg in request:
# print(msg.choices[0].delta.keys())
token = msg.choices[0].delta["content"]
response += token
should_stop = False
for _stop in stop_str:
if _stop in response:
should_stop = True
break
if should_stop:
break
yield response
with gr.Blocks() as demo:
with gr.Row():
with gr.Column():
gr.Label("Welcome to the URIAL Chatbot!")
model_name = gr.Radio(["Llama-3-8B", "Llama-3-70B"], value="Llama-3-8B", label="Base model name")
together_api_key = gr.Textbox(label="Together API Key", placeholder="Enter your Together API Key. Leave it blank if you want to use the default API key.", type="password")
with gr.Column():
with gr.Column():
with gr.Row():
max_tokens = gr.Textbox(value=1024, label="Max tokens")
temperature = gr.Textbox(value=0.5, label="Temperature")
with gr.Column():
with gr.Row():
top_p = gr.Textbox(value=0.9, label="Top-p")
rp = gr.Textbox(value=1.1, label="Repetition penalty")
chat = gr.ChatInterface(
respond,
additional_inputs=[max_tokens, temperature, top_p, rp, model_name, together_api_key],
# additional_inputs_accordion="⚙️ Parameters",
# fill_height=True,
)
chat.chatbot.height = 600
if __name__ == "__main__":
demo.launch() |