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# import gradio as gr | |
# from bedrock_client import bedrock_llm | |
# from langchain.schema import SystemMessage, HumanMessage, AIMessage | |
# import os | |
# from distutils.util import strtobool | |
# MULTIMODAL = os.environ.get("MULTIMODAL", "false") | |
# # 1) convert common truthy/falsy strings to bool | |
# try: | |
# MULTIMODAL = bool(strtobool(MULTIMODAL)) | |
# except ValueError: | |
# # catch unrecognized values | |
# print(f"Invalid MULTIMODAL value: Use true/false, 1/0, yes/no.") | |
# AUTHS = [(os.environ.get('USER'), os.environ.get('PW'))] | |
# SYSTEM_PROMPT = os.environ.get('SYSTEM_PROMPT', '') | |
# def chat(message, history): | |
# # 1) start with the system prompt | |
# history_langchain_format: list = [SystemMessage(content=SYSTEM_PROMPT)] | |
# # 2) replay the user/assistant turns | |
# for msg in history: | |
# if msg["role"] == "user": | |
# history_langchain_format.append(HumanMessage(content=msg["content"])) | |
# elif msg["role"] == "assistant": | |
# history_langchain_format.append(AIMessage(content=msg["content"])) | |
# # 3) append the new user message | |
# history_langchain_format.append(HumanMessage(content=message)) | |
# stream =bedrock_llm.stream(history_langchain_format) | |
# full = next(stream) | |
# for chunk in stream: | |
# full +=chunk | |
# yield full.content | |
# with gr.Blocks(css_paths=["static/deval.css"],theme = gr.themes.Default(primary_hue="blue", secondary_hue="yellow"),) as demo: | |
# # ββ Logo + Header + Logout ββββββββββββββββββββββββββββββββ | |
# with gr.Row(): | |
# with gr.Column(scale=1): | |
# gr.Image( | |
# value="static/logo.png", | |
# height=50, | |
# show_label=False, | |
# interactive=False, | |
# show_download_button=False, | |
# show_fullscreen_button=False, | |
# elem_id="logo-primary", # matches the CSS above | |
# ) | |
# with gr.Column(scale=10): | |
# gr.Markdown( | |
# "# DEvalBot\n\n" | |
# "**Hinweis:** Bitte gebe keine vertraulichen Informationen ein. " | |
# "Dazu zΓ€hlen u.a. sensible personenbezogene Daten, institutsinterne " | |
# "Informationen oder Dokumente, unverΓΆffentlichte Berichtsinhalte, " | |
# "vertrauliche Informationen oder Dokumente externer Organisationen " | |
# "sowie sensible erhobene Daten (wie etwa Interviewtranskripte).", elem_id="header-text" | |
# ) | |
# # inject auto-reload script | |
# gr.HTML( | |
# """ | |
# <script> | |
# // Reload the page after 1 minutes (300β000 ms) | |
# setTimeout(() => { | |
# window.location.reload(); | |
# }, 1000); | |
# </script> | |
# """ | |
# ) | |
# gr.ChatInterface( | |
# chat, | |
# type="messages", | |
# multimodal=MULTIMODAL, | |
# editable=True, | |
# concurrency_limit=20, | |
# save_history=True, | |
# ) | |
# demo.queue().launch(auth=AUTHS, share=True, ssr_mode=False) | |
import gradio as gr | |
# Replace this with your target URL | |
NEW_PAGE_URL = "https://huggingface.co/spaces/evaluatorhub42/DEvalbot" | |
with gr.Blocks(css_paths=["static/deval.css"], theme=gr.themes.Default(primary_hue="blue", secondary_hue="yellow")) as demo: | |
with gr.Row(): | |
with gr.Column(scale=1): | |
gr.Image( | |
value="static/logo.png", | |
height=50, | |
show_label=False, | |
interactive=False, | |
show_download_button=False, | |
show_fullscreen_button=False, | |
elem_id="logo-primary", | |
) | |
with gr.Column(scale=10): | |
pass # Empty space or title if needed | |
with gr.Row(): | |
gr.HTML( | |
f""" | |
<div style=" | |
display: flex; | |
justify-content: center; | |
align-items: center; | |
flex-direction: column; | |
height: 60vh; | |
text-align: center; | |
color: white; | |
font-size: 2rem; | |
"> | |
<p style="margin: 0.5em 0; color: white; font-weight: bold;">β οΈ DEvalBot has moved!</p> | |
<p style="margin: 0.5em 0; color: white;">Please visit the new page:</p> | |
<p style="margin: 0.5em 0;"> | |
<a href="{NEW_PAGE_URL}" style="color: white; font-weight: bold; text-decoration: underline;"> | |
{NEW_PAGE_URL} | |
</a> | |
</p> | |
</div> | |
""" | |
) | |
demo.launch() |