Update app.py

app.py

@@ -1,93 +1,128 @@
-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)
+# 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(
+#         """
+#         <script>
+#           // Reload the page after 1 minutes (300 000 ms)
+#           setTimeout(() => {
+#             window.location.reload();
+#           }, 1000);
+#         </script>
+#         """
+#     )
+#     gr.ChatInterface(
+#         chat,
+#         type="messages",
+#         multimodal=MULTIMODAL,
+#         editable=True,
+#         concurrency_limit=20,
+#         save_history=True,
+#     )
+    
 
-    full = next(stream)
 
-    for chunk in stream:
-         full +=chunk
-         yield full.content
+# demo.queue().launch(auth=AUTHS, share=True,  ssr_mode=False)
 
+import gradio as gr
 
-with gr.Blocks(css_paths=["static/deval.css"],theme = gr.themes.Default(primary_hue="blue", secondary_hue="yellow"),) as demo:
-    # ── Logo + Header + Logout ────────────────────────────────
+# 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():
         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
-                )
+            pass
         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"
+                f"""
+                ## ⚠️ DEvalBot has moved!
+                Please visit the new page:  
+                👉 [**{NEW_PAGE_URL}**]({NEW_PAGE_URL})
+                """,
+                elem_id="redirect-message"
             )
 
-    # inject auto-reload script
-    gr.HTML(
-        """
-        <script>
-          // Reload the page after 1 minutes (300 000 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)
+demo.launch()