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# encoding = "utf-8"
'''
This is a mediator: a gradio server for OpenAI APIs
'''
import os
import json
import argparse
import gradio as gr
import requests
import openai
from openai import OpenAI, Stream,AzureOpenAI
def http_bot(messages, argsbox):
args = json.loads(argsbox)
messages = json.loads(messages)
print(messages)
print(argsbox)
if args["model"]=="gpt-35-turbo":
baseurl="https://hkust.azure-api.net"
client = AzureOpenAI(
api_version="2023-07-01-preview",
azure_endpoint=baseurl,
api_key=args["api_key"],
)
chat_completion = client.chat.completions.create(
messages=messages,
model=args["model"],
temperature=float(args["temperature"]),
max_tokens=int(args["max_tokens"])
)
print(chat_completion)
else:
client = OpenAI(api_key=args["api_key"], base_url = args["base_url"])
chat_completion = client.chat.completions.create(
messages=messages,
model=args["model"],
temperature=float(args["temperature"]),
max_tokens=int(args["max_tokens"])
)
print(chat_completion)
return chat_completion.choices[0].message.content
with gr.Blocks() as demo:
gr.Markdown("# vLLM text completion demo\n")
inputbox = gr.Textbox(label="Input",
placeholder="Dict of infos")
argsbox = gr.Textbox(label="Args", placeholder="a dict of {api_key, base_url, model, temperature, max_tokens,....}")
outputbox = gr.Textbox(label="Output",
placeholder="Generated result from the model")
submit = gr.Button("Submit")
submit.click(http_bot, [inputbox, argsbox], [outputbox], api_name="submit")
demo.launch(share=True)
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