File size: 5,183 Bytes
fe52ef9 | 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 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 | import gradio as gr
from datetime import datetime
from chatbot import Chatbot
from client_utils import engine_map
chatbot_engine = Chatbot()
def get_user(request: gr.Request):
try:
return request.headers.user
except:
return ""
def generate_greeting(user) -> str:
hour = datetime.now().hour
if 5 <= hour < 12:
greeting = "Good morning"
elif 12 <= hour < 17:
greeting = "Good afternoon"
else:
greeting = "Good evening"
return f'<p style="font-size: 24px; text-align: center;"><span style="font-weight: bold;">{greeting}{f", {user}" if user else ""}.</span><br>How can I help you?</p>'
theme = gr.themes.Monochrome(
radius_size="xxl",
font=['Montserrat', 'ui-sans-serif', 'system-ui', 'sans-serif'],
).set(
background_fill_primary='white',
background_fill_secondary='white',
background_fill_secondary_dark='*neutral_950',
block_background_fill='*neutral-50',
block_border_width='0px',
block_border_width_dark='0px',
block_label_border_width='0px',
block_label_border_width_dark='0px',
border_color_accent='white',
border_color_accent_dark='*neutral_950',
)
with gr.Blocks(theme=theme, css_paths="style.css", fill_height=True) as demo:
user = gr.State()
with gr.Sidebar():
chat_history_dataset = gr.Dataset(
components=[gr.Textbox(visible=False)],
samples=[[]],
label="Recent",
show_label=True,
layout="table",
type="index",
)
with gr.Row():
with gr.Column():
engine = gr.Dropdown( # Renamed from "model" to "engine"
choices=list(chatbot_engine.engine_map.keys()), # Updated to use engine_map
value=list(chatbot_engine.engine_map.keys())[-1],
show_label=False,
)
with gr.Column():
new_chat_btn = gr.Button(
"",
icon="assets/new_chat.svg",
variant="primary",
elem_id="new_chat_btn"
)
login_btn = gr.LoginButton(
"Login",
logout_value="Logout",
icon="assets/login.svg",
variant="primary",
elem_id="login_btn"
)
chatbot = gr.Chatbot(
type="messages",
height="100%",
max_height= "75vh",
show_label=False,
elem_id="chatbot",
placeholder=generate_greeting("")
)
with gr.Group(elem_id="inputs", render=False) as inputs:
textbox = gr.MultimodalTextbox(
placeholder="Message Digichat...",
file_count="multiple",
show_label=False,
)
with gr.Row(visible=False):
temperature = gr.Slider(
minimum=0,
maximum=1,
step=0.1,
value=0.0,
show_label=False,
)
engine_params = [engine, temperature]
chat_interface = gr.ChatInterface(
chatbot_engine.predict,
type="messages",
chatbot=chatbot,
textbox=textbox,
additional_inputs=engine_params,
additional_outputs=[textbox],
editable=True,
save_history=True,
)
inputs.render()
synchronize_chat_state_kwargs = {
"fn": lambda x: (x, x),
"inputs": [chat_interface.chatbot],
"outputs": [chat_interface.chatbot_state, chat_interface.chatbot_value],
"show_api": False,
"queue": False,
}
new_chat_btn.click(
lambda: (None, []),
None,
[chat_interface.conversation_id, chat_interface.chatbot],
show_api=False,
queue=False,
).then(
lambda x: x,
[chat_interface.chatbot],
[chat_interface.chatbot_state],
show_api=False,
queue=False,
)
gr.on(
triggers=[chat_interface.load, chat_interface.saved_conversations.change],
fn=chat_interface._load_chat_history,
inputs=[chat_interface.saved_conversations],
outputs=[chat_history_dataset],
show_api=False,
queue=False,
)
chat_history_dataset.click(
lambda: [],
None,
[chat_interface.chatbot],
show_api=False,
queue=False,
show_progress="hidden",
).then(
chat_interface._load_conversation,
[chat_history_dataset, chat_interface.saved_conversations],
[chat_interface.conversation_id, chat_interface.chatbot],
show_api=False,
queue=False,
show_progress="hidden",
).then(**synchronize_chat_state_kwargs)
gr.on(
[textbox.stop, chatbot.clear, new_chat_btn.click],
lambda: chatbot_engine.stop(),
show_progress='hidden'
)
demo.load(
get_user,
None,
[user]
).then(
lambda user: gr.update(placeholder=generate_greeting(user)),
[user],
[chatbot]
)
if __name__ == "__main__":
demo.queue(
default_concurrency_limit=40
).launch(
pwa=True,
share=False
) |