Delete app copy.py

app copy.py

@@ -1,89 +0,0 @@
-import gradio as gr
-from bedrock_client import claude_llm, get_anthropic_client, claude_stream_response
-from utils import load_users
-
-AUTHS = load_users('user.csv')
-HISTORY_LIMIT = 30  # max number of turns (user+assistant) to keep
-
-
-# 1) Your system prompt
-SYSTEM_PROMPT = (
-    "Du bist DevalBot, ein konversationeller Assistent des Deutschen Evaluierungsinstituts für Entwicklungsbewertung (DEval).  DEval bietet staatlichen und zivilgesellschaftlichen Organisationen in der Entwicklungszusammenarbeit unabhängige und wissenschaftlich fundierte Evaluierungen. Deine Hauptsprache ist Deutsch; antworte daher standardmäßig auf Deutsch. Du kannst zudem bei statistischen Analysen und Programmierung in Stata und R unterstützen. Antworte sachlich, präzise und stelle bei Unklarheiten klärende Rückfragen."
-)
-
-def chat(user_message, history):
-    # ── 1) Guard against empty input ─────────────────────
-    if not user_message or not user_message.strip():
-        return
-
-    # ── 2) Build the LLM’s messages list ─────────────────
-    # Always start with the SYSTEM_PROMPT, then the UI history,
-    # then the new user turn:
-    llm_messages = [{"role":"system","content":SYSTEM_PROMPT}]
-    llm_messages += history
-    llm_messages.append({"role":"user","content":user_message})
-
-    # ── 3) Kick off the streaming call ───────────────────
-    client   = get_anthropic_client()
-    streamer = lambda msgs: claude_stream_response(msgs, client)
-
-    # ── 4) Immediately show the user’s turn in the UI      ─
-    ui_history = history + [{"role":"user","content":user_message}]
-
-    full_resp = ""
-    try:
-        for chunk in streamer(llm_messages):
-            full_resp += chunk
-            # yield the UI history plus the growing assistant bubble
-            yield ui_history + [{"role":"assistant","content": full_resp}]
-    except Exception as e:
-        # surface any error inline
-        err = f"⚠️ Oops, something went wrong: {e}"
-        yield ui_history + [{"role":"assistant","content": err}]
-        return
-
-    # ── 5) Finalize the assistant turn in the UI ─────────
-    ui_history.append({"role":"assistant","content": full_resp})
-
-    # ── 6) Trim to the last N turns ──────────────────────
-    if len(ui_history) > HISTORY_LIMIT:
-        ui_history = ui_history[-HISTORY_LIMIT:]
-
-    yield ui_history
-
-
-with gr.Blocks(css_paths=["static/deval.css"],theme = gr.themes.Default(primary_hue="blue", secondary_hue="yellow"),) as demo:
-    # ── Logo + Header + Logout ────────────────────────────────
-
-    gr.Image(
-        value="static/logo.png",
-        show_label=False,
-        interactive=False,
-        show_download_button=False,
-        show_fullscreen_button=False,
-        elem_id="logo-primary",    # matches the CSS above
-    )
-        
-    #logout_btn = gr.Button("Logout", elem_id="logout-btn")
-    # 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",
-        editable=True,
-        concurrency_limit=200,
-        save_history=True,
-    )
-    
-
-
-demo.queue().launch(auth=AUTHS, ssr_mode=False)