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.gradio/certificate.pem

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+-----BEGIN CERTIFICATE-----
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README.md

@@ -1,12 +1,13 @@
 ---
 title: DEvalbot
-emoji: 🏃
+emoji: 🐠
 colorFrom: yellow
-colorTo: gray
+colorTo: red
 sdk: gradio
 sdk_version: 5.34.2
 app_file: app.py
 pinned: false
+license: mit
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import gradio as gr
+from bedrock_client import bedrock_llm
+from langchain.schema import SystemMessage, HumanMessage, AIMessage
+import os
+
+
+AUTHS = [(os.environ.get('USER'), os.environ.get('PW'))]
+
+def chat(message, history):
+    # 3a) Build Bedrock input (with system prompt + raw dict‐history)
+    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."
+    )
+
+    # 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"
+            )
+
+    #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).
+    #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,share=True, ssr_mode=False)

bedrock_client.py

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+import os
+from anthropic import AnthropicBedrock
+from langchain_aws.chat_models import ChatBedrockConverse
+from langchain_aws.llms.bedrock import BedrockLLM
+
+
+
+
+# Initialize the streaming Bedrock chat model
+bedrock_llm = ChatBedrockConverse(
+    aws_access_key_id       =os.environ.get("AWS_ACCESS_KEY_ID"),
+    aws_secret_access_key   =os.environ.get("AWS_SECRET_ACCESS_KEY"),
+    region_name             =os.environ.get("AWS_DEFAULT_REGION", "eu-west-1"),
+    provider                = os.environ.get("PROVIDER", "mistral"),
+    model_id                =os.environ.get("MODEL_ID", "mistral.mistral-large-2402-v1:0"),  # or your preferred Bedrock model
+    temperature= 0.7)
+
+
+
+

requirements.txt

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+gradio>=4.20.0
+boto3>=1.34.0
+botocore
+fastapi
+uvicorn
+aiofiles
+anthropic[bedrock]>=0.50.0
+langchain-aws>=0.2.17
+langchain-community>=0.3.26

static/deval.css

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+/* ── Brand overrides ─────────────────────────────────────────── */
+:root {
+  --color-brand-primary:   #E7AB12;
+  --color-brand-secondary: #0D456C;
+}
+
+/* ── Page background ────────────────────────────────────────── */
+body, .gradio-container {
+  background-color: #003C66 !important;
+}
+
+/* ── Global button look ─────────────────────────────────────── */
+button.gr-button {
+  background-color: #003C66 !important;
+  color:            #E7AB12 !important;
+}
+button.gr-button:hover {
+  background-color: #0056b3 !important;
+}
+
+/* force the logo container to left‐align its child */
+#logo-primary {
+  display: block;          /* ensure it’s a block container */
+  text-align: left !important;
+}
+
+/* still keep your size constraints */
+#logo-primary img {
+  max-width: 80%;
+  max-height: 90%;
+  height: auto;
+  object-fit: contain;
+  margin: 2 !important;
+  
+  /* nix any auto‐margins that might center it */
+}
+
+/* ── Header Markdown styling ───────────────────────────────── */
+#header-text {
+  /* overall container */
+  font-size:   1.75rem;        /* ~23px */
+  line-height: 1.6;
+  font-weight: bold;
+  color:       #C1CDDF !important;
+}
+
+/* ensure all child text elements inherit that color */
+#header-text,
+#header-text h1,
+#header-text p,
+#header-text strong,
+#header-text b,
+#header-text em {
+  color: #C1CDDF !important;
+}

utils.py

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+import csv
+
+def load_users(path):
+    """
+    Reads a CSV with header 'users,passwords'
+    and returns a list of (user, password) tuples.
+    """
+    with open(path, newline="", encoding="utf-8") as f:
+        reader = csv.DictReader(f)
+        return [(row["users"], row["passwords"]) for row in reader]