|
import gradio as gr |
|
from gpt4all import GPT4All |
|
from urllib.request import urlopen |
|
import json |
|
import time |
|
from load_llms import model_choices, llm_intro, load_model |
|
|
|
|
|
|
|
def generate_response(model_name, message, chat_history): |
|
model = load_model(model_name) |
|
response = model.generate(message, max_tokens=100) |
|
chat_history.append((message, response)) |
|
return "", chat_history |
|
|
|
|
|
|
|
with gr.Blocks( |
|
css=".contain { display: flex !important; flex-direction: column !important; }" |
|
"#chatbot { flex-grow: 1 !important; overflow: auto !important; }" |
|
"#col { height: calc(100vh - 112px - 16px) !important; }" |
|
"#submit:hover { background-color: green !important; }" |
|
"#clear { background-color: darkred !important; }", |
|
theme=gr.themes.Soft(font=[gr.themes.GoogleFont("Martel Sans")]) |
|
) as demo: |
|
gr.Markdown("# GPT4All Chatbot") |
|
with gr.Row(): |
|
with gr.Column(scale=1): |
|
model_dropdown = gr.Dropdown( |
|
choices=model_choices(), |
|
multiselect=False, |
|
type="value", |
|
value="orca-mini-3b-gguf2-q4_0.gguf", |
|
label="LLMs to choose from" |
|
) |
|
explanation = gr.Textbox(label="Model Description", interactive=False, value=llm_intro("orca-mini-3b-gguf2-q4_0.gguf")) |
|
|
|
|
|
model_dropdown.change(fn=llm_intro, inputs=model_dropdown, outputs=explanation) |
|
|
|
gr.Image(interactive=False, value="https://huggingface.co./spaces/yxmauw/chatbot/blob/main/space_hardware.png") |
|
|
|
with gr.Column(scale=4, elem_id='col'): |
|
chatbot = gr.Chatbot(label="Chatroom", value=[(None, "How may I help you today?")], elem_id="chatbot") |
|
|
|
with gr.Row(): |
|
message = gr.Textbox(label="Message", scale=10) |
|
message.submit(generate_response, inputs=[model_dropdown, message, chatbot], outputs=[message, chatbot]) |
|
submit_button = gr.Button("Submit", scale=1, elem_id="submit") |
|
submit_button.click(generate_response, inputs=[model_dropdown, message, chatbot], outputs=[message, chatbot]) |
|
|
|
clear = gr.ClearButton([message, chatbot], elem_id="clear") |
|
|
|
|
|
demo.launch() |
|
|
