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import openai
import gradio as gr
import os
os.system("sh run.sh")
client = openai.OpenAI(
api_key="EMPTY",
base_url="http://localhost:7777/v1"
)
def chatbot_mistral(messages:list,systemt_prompt=""):
if messages[0]['role'] != "system":
sys = {"role":"system","content":systemt_prompt}
messages.insert(0,sys)
else:
messages[0]['content'] = systemt_prompt
# model_name = "dewu-chat"
call_args = {
'temperature': 0.7,
'top_p': 0.9,
'top_k': 40,
'max_tokens': 2048, # output-len
'presence_penalty': 1.0,
'frequency_penalty': 0.0,
"repetition_penalty":1.0,
"stop":["</s>"],
# "stop":["<|eot_id|>","<|end_of_text|>"],
"stream":True
}
# create a chat completion
for chunk in client.chat.completions.create(model="dewu-chat",messages=messages,extra_body=call_args):
if hasattr(chunk.choices[0].delta, "content"):
response = chunk.choices[0].delta.content
yield response
def respond(
message,
history: list[tuple[str, str]],
system_message,
max_tokens,
temperature,
top_p,
):
messages = [{"role": "system", "content": system_message}]
for val in history:
if val[0]:
messages.append({"role": "user", "content": val[0]})
if val[1]:
messages.append({"role": "assistant", "content": val[1]})
messages.append({"role": "user", "content": message})
response = ""
for i in chatbot_mistral(messages):
yield i
"""
For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
"""
demo = gr.ChatInterface(
respond,
additional_inputs=[
gr.Textbox(value="You are a helpful, respectful and honest assistant.Help humman as much as you can.", label="System message"),
gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
gr.Slider(
minimum=0.1,
maximum=1.0,
value=0.95,
step=0.05,
label="Top-p (nucleus sampling)",
),
],
)
if __name__ == "__main__":
demo.launch() |