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from typing import List, Dict, Any
from uuid import uuid4
import gradio as gr
try:
from retrieval import (
candid_blog,
candid_help,
candid_learning,
# cds,
issuelab,
# news,
# up_orgs,
youtube
)
except ImportError:
from .retrieval import (
candid_blog,
candid_help,
candid_learning,
# cds,
issuelab,
# news,
# up_orgs,
youtube
)
# TODO summarize messages instead
def filter_messages(messages, k=10):
return messages[-k:]
def html_format_doc(doc: Dict[str, Any], source: str, show_chunks=False) -> str:
height_px = 200
html = ""
if source == "news":
# html = news.article_card_html(doc, height_px, show_chunks)
pass
elif source == "transactions":
# html = cds.transaction_card_html(doc, height_px, show_chunks)
pass
elif source == "organizations":
# html = up_orgs.organization_card_html(doc, 400, show_chunks)
pass
elif source == "issuelab":
html = issuelab.issuelab_card_html(doc, height_px, show_chunks)
elif source == "youtube":
html = youtube.build_card_html(doc, 400, show_chunks)
elif source == "candid_blog":
html = candid_blog.build_card_html(doc, height_px, show_chunks)
elif source == "candid_learning":
html = candid_learning.build_card_html(doc, height_px, show_chunks)
elif source == "candid_help":
html = candid_help.build_card_html(doc, height_px, show_chunks)
return html
def html_format_docs_chat(docs):
"""
Formats Candid sources into a line of buttons
"""
html = ""
if docs:
docs_html = []
for doc in docs:
s_name = doc.metadata.get("source", "Source")
s_url = doc.metadata.get("url", "URL")
s_html = f"""<a href={s_url} target='_blank' rel='noreferrer' class='ssearch-source'> \
<button class='ssearch-source-btn'>{s_name}</button></a>"""
docs_html.append(s_html)
docs_html_insert = "".join(s for s in docs_html)
html = f"""<div id='ssearch-sources'>{docs_html_insert}</div>"""
return html
def format_chat_response(chatbot: List[Any]) -> List[Any]:
"""We have sources appended as one more tuple. Here we concatinate HTML of sources
with the AI response
Returns:
_type_: updated chatbot message as HTML
"""
if chatbot:
sources = chatbot[-1][1]
chatbot.pop(-1)
chatbot[-1][1] = chatbot[-1][1] + sources
return gr.HTML(chatbot)
def format_chat_ag_response(chatbot: List[Any]) -> List[Any]:
"""If we called retriever, we appended sources as as one more message. Here we concatinate HTML of sources
with the AI response
Returns:
_type_: updated chatbot message as HTML
"""
sources = ""
if chatbot:
title = chatbot[-1]["metadata"].get("title", None)
if title == "Sources HTML":
sources = chatbot[-1]["content"]
chatbot.pop(-1)
chatbot[-1]["content"] = chatbot[-1]["content"] + sources
return gr.HTML(chatbot)
def valid_inputs(*args) -> bool:
return any(a is not None or (isinstance(a, str) and a.strip() != '') for a in args)
def get_session_id(thread_id: gr.components.Component) -> str:
if not thread_id:
thread_id = uuid4().hex
return thread_id
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