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149 | class GradioAgentChatPack(BaseLlamaPack):
"""Gradio chatbot to chat with your own Agent."""
def __init__(
self,
agent: BaseAgent,
**kwargs: Any,
) -> None:
"""Init params."""
try:
from ansi2html import Ansi2HTMLConverter
except ImportError:
raise ImportError("Please install ansi2html via `pip install ansi2html`")
self.agent = agent
self.thoughts = ""
self.conv = Ansi2HTMLConverter()
def get_modules(self) -> Dict[str, Any]:
"""Get modules."""
return {"agent": self.agent}
def _handle_user_message(self, user_message, history):
"""Handle the user submitted message. Clear message box, and append
to the history.
"""
return "", [*history, (user_message, "")]
def _generate_response(
self, chat_history: List[Tuple[str, str]]
) -> Tuple[str, List[Tuple[str, str]]]:
"""Generate the response from agent, and capture the stdout of the
ReActAgent's thoughts.
"""
with Capturing() as output:
response = self.agent.stream_chat(chat_history[-1][0])
ansi = "\n========\n".join(output)
html_output = self.conv.convert(ansi)
for token in response.response_gen:
chat_history[-1][1] += token
yield chat_history, str(html_output)
def _reset_chat(self) -> Tuple[str, str]:
"""Reset the agent's chat history. And clear all dialogue boxes."""
# clear agent history
self.agent.reset()
return "", "", "" # clear textboxes
def run(self, *args: Any, **kwargs: Any) -> Any:
"""Run the pipeline."""
import gradio as gr
from gradio.themes.utils import colors, fonts, sizes
llama_theme = gr.themes.Soft(
primary_hue=colors.purple,
secondary_hue=colors.pink,
neutral_hue=colors.gray,
spacing_size=sizes.spacing_md,
radius_size=sizes.radius_md,
text_size=sizes.text_lg,
font=(
fonts.GoogleFont("Quicksand"),
"ui-sans-serif",
"sans-serif",
),
font_mono=(
fonts.GoogleFont("IBM Plex Mono"),
"ui-monospace",
"monospace",
),
)
llama_theme.set(
body_background_fill="#FFFFFF",
body_background_fill_dark="#000000",
button_primary_background_fill="linear-gradient(90deg, *primary_300, *secondary_400)",
button_primary_background_fill_hover="linear-gradient(90deg, *primary_200, *secondary_300)",
button_primary_text_color="white",
button_primary_background_fill_dark="linear-gradient(90deg, *primary_600, *secondary_800)",
slider_color="*secondary_300",
slider_color_dark="*secondary_600",
block_title_text_weight="600",
block_border_width="3px",
block_shadow="*shadow_drop_lg",
button_shadow="*shadow_drop_lg",
button_large_padding="32px",
)
demo = gr.Blocks(
theme=llama_theme,
css="#box { height: 420px; overflow-y: scroll !important} #logo { align-self: right }",
)
with demo:
with gr.Row():
gr.Markdown(
"# Gradio Chat With Your Agent Powered by LlamaIndex and LlamaHub 🦙\n"
"This Gradio app allows you to chat with your own agent (`BaseAgent`).\n"
)
gr.Markdown(
"[](https://llamaindex.ai)",
elem_id="logo",
)
with gr.Row():
chat_window = gr.Chatbot(
label="Message History",
scale=3,
)
console = gr.HTML(elem_id="box")
with gr.Row():
message = gr.Textbox(label="Write A Message", scale=4)
clear = gr.ClearButton()
message.submit(
self._handle_user_message,
[message, chat_window],
[message, chat_window],
queue=False,
).then(
self._generate_response,
chat_window,
[chat_window, console],
)
clear.click(self._reset_chat, None, [message, chat_window, console])
demo.launch(server_name="0.0.0.0", server_port=8080)
|
