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Create app.py
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app.py
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# app.py
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from typing import Any, Dict, List, Tuple
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from llama_index import BaseAgent # Assurez-vous d'importer correctement votre BaseAgent
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from ansi2html import Ansi2HTMLConverter
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import gradio as gr
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from gradio.themes.utils import colors, fonts, sizes
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class GradioAgentChatPack:
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"""Gradio chatbot to chat with your own Agent."""
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def __init__(self, agent: BaseAgent, **kwargs: Any) -> None:
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"""Init params."""
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self.agent = agent
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self.thoughts = ""
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self.conv = Ansi2HTMLConverter()
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def get_modules(self) -> Dict[str, Any]:
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"""Get modules."""
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return {"agent": self.agent}
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def _handle_user_message(self, user_message, history):
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"""Handle the user submitted message. Clear message box, and append to the history."""
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return "", [*history, (user_message, "")]
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def _generate_response(self, chat_history: List[Tuple[str, str]]) -> Tuple[str, List[Tuple[str, str]]]:
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"""Generate the response from agent, and capture the stdout of the ReActAgent's thoughts."""
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with Capturing() as output:
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response = self.agent.stream_chat(chat_history[-1][0])
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ansi = "\n========\n".join(output)
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html_output = self.conv.convert(ansi)
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for token in response.response_gen:
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chat_history[-1][1] += token
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yield chat_history, str(html_output)
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def _reset_chat(self) -> Tuple[str, str]:
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"""Reset the agent's chat history. And clear all dialogue boxes."""
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self.agent.reset()
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return "", "", "" # clear textboxes
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def run(self, *args: Any, **kwargs: Any) -> Any:
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"""Run the pipeline."""
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llama_theme = gr.themes.Soft(
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primary_hue=colors.purple,
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secondary_hue=colors.pink,
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neutral_hue=colors.gray,
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spacing_size=sizes.spacing_md,
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radius_size=sizes.radius_md,
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text_size=sizes.text_lg,
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font=(
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fonts.GoogleFont("Quicksand"),
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"ui-sans-serif",
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"sans-serif",
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),
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font_mono=(
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fonts.GoogleFont("IBM Plex Mono"),
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"ui-monospace",
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"monospace",
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),
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)
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llama_theme.set(
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body_background_fill="#FFFFFF",
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body_background_fill_dark="#000000",
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button_primary_background_fill="linear-gradient(90deg, *primary_300, *secondary_400)",
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button_primary_background_fill_hover="linear-gradient(90deg, *primary_200, *secondary_300)",
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button_primary_text_color="white",
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button_primary_background_fill_dark="linear-gradient(90deg, *primary_600, *secondary_800)",
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slider_color="*secondary_300",
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slider_color_dark="*secondary_600",
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block_title_text_weight="600",
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block_border_width="3px",
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block_shadow="*shadow_drop_lg",
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button_shadow="*shadow_drop_lg",
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button_large_padding="32px",
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)
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demo = gr.Blocks(
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theme=llama_theme,
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css="#box { height: 420px; overflow-y: scroll !important} #logo { align-self: right }",
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)
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with demo:
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with gr.Row():
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gr.Markdown(
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"# Gradio Chat With Your Agent Powered by LlamaIndex and LlamaHub 🦙\n"
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"This Gradio app allows you to chat with your own agent (`BaseAgent`).\n"
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)
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gr.Markdown(
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"[![Alt text](https://d3ddy8balm3goa.cloudfront.net/other/llama-index-light-transparent-sm-font.svg)](https://llamaindex.ai)",
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elem_id="logo",
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)
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with gr.Row():
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chat_window = gr.Chatbot(
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label="Message History",
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scale=3,
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)
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console = gr.HTML(elem_id="box")
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with gr.Row():
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message = gr.Textbox(label="Write A Message", scale=4)
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clear = gr.ClearButton()
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message.submit(
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self._handle_user_message,
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[message, chat_window],
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[message, chat_window],
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queue=False,
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).then(
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self._generate_response,
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chat_window,
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[chat_window, console],
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)
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clear.click(self._reset_chat, None, [message, chat_window, console])
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demo.launch(server_name="0.0.0.0", server_port=8080)
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# Note: Replace `BaseAgent` with your actual agent class and ensure it has the necessary methods.
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