File size: 2,165 Bytes
02fc79d 7e0679d 933893f cfb47bd a0a3c71 02fc79d d19cbee 844418d 98cb8e3 cb167f0 572bbdb 98cb8e3 d19cbee ab2986e 98cb8e3 d7fd676 81f5fb5 ab2986e 98cb8e3 a91f0b6 ea8b1a7 a91f0b6 98cb8e3 21042d3 6daebf6 98cb8e3 f57f2aa |
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 |
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
# Construct chatbot
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
# Create Gradio UI
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; }"
) 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"))
# Link the dropdown with the textbox to update the description based on the selected model
model_dropdown.change(fn=llm_intro, inputs=model_dropdown, outputs=explanation)
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():
with gr.Column(scale=10):
message = gr.Textbox(label="Message")
message.submit(generate_response, inputs=[model_dropdown, message, chatbot], outputs=[message, chatbot])
with gr.Column(scale=1):
submit_button = gr.Button("Submit")
submit_button.click(generate_response, inputs=[model_dropdown, message, chatbot], outputs=[message, chatbot])
clear = gr.ClearButton([message, chatbot])
# Launch the Gradio app
demo.launch()
# clear = gr.ClearButton([input_text, chatbot]) |