File size: 1,541 Bytes
f4b4235 |
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 |
import g4f
import gradio as gr
from g4f.Provider import (
Ails,
You,
Bing,
Yqcloud,
Theb,
Aichat,
Bard,
Vercel,
Forefront,
Lockchat,
Liaobots,
H2o,
ChatgptLogin,
DeepAi,
GetGpt
)
from revChatGPT.V1 import Chatbot
import os
from g4f.models import Model
model_provider_dict = {}
# 遍历Model类中的name属性
for name in vars(Model):
attr_value = getattr(Model, name)
if hasattr(attr_value, 'name'):
model_provider_dict[attr_value.name] = attr_value.best_provider
# os.environ["no_proxy"] = "localhost,127.0.0.1,:1"
with gr.Blocks() as demo:
chatbot = gr.Chatbot([[None, None]], label='AI')
msg = gr.Textbox(value="", label='')
clear = gr.Button("Clear")
model_name = gr.Dropdown(model_provider_dict.keys())
def user(user_message, history):
return gr.update(value="", interactive=False), history + [[user_message, None]]
def bot(history, model_name):
history[-1][1] = ''
bot_msg = g4f.ChatCompletion.create(model=model_name, provider=model_provider_dict[model_name], messages=[{"role": "user", "content": history[-1][0]}], stream=True)
for c in bot_msg:
history[-1][1] += c
yield history
response = msg.submit(user, [msg, chatbot], [msg, chatbot], queue=False).then(
bot, [chatbot, model_name], chatbot
)
response.then(lambda: gr.update(interactive=True), None, [msg], queue=False)
clear.click(lambda: None, None, chatbot, queue=False)
demo.title = "AI Chat"
demo.queue()
demo.launch() |