# 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: # # ── Logo + Header + Logout ──────────────────────────────── # 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 zählen u.a. sensible personenbezogene Daten, institutsinterne " # "Informationen oder Dokumente, unveröffentlichte Berichtsinhalte, " # "vertrauliche Informationen oder Dokumente externer Organisationen " # "sowie sensible erhobene Daten (wie etwa Interviewtranskripte).", elem_id="header-text" # ) # # inject auto-reload script # gr.HTML( # """ # # """ # ) # 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"""

⚠️ DEvalBot has moved!

Please visit the new page:

{NEW_PAGE_URL}

""" ) demo.launch()