Update app.py

app.py

@@ -3,16 +3,20 @@ import gradio as gr
 from huggingface_hub import InferenceClient
 
 # ----------------------------------------------------------------------
-# Helper: read a secret with a safe fallback (useful when you run the
-# script locally without a secrets file).
+# 1️⃣  Force the UI language (prevents the “svelte‑i18n” error)
 # ----------------------------------------------------------------------
-def _secret(key: str, fallback: str) -> str:
+gr.set_default_language("en")          # English UI – change if you need another locale
+
+# ----------------------------------------------------------------------
+# Helper to read a secret (with a safe fallback for local testing)
+# ----------------------------------------------------------------------
+def _secret(key: str, fallback: str = "") -> str:
     """Return the value of a secret or the supplied fallback."""
     return os.getenv(key, fallback)
 
 
 # ----------------------------------------------------------------------
-# Core chat logic – the system prompt now comes from the secret `prec_chat`.
+# 2️⃣  Core chat logic – system prompt comes from the secret `prec_chat`
 # ----------------------------------------------------------------------
 def respond(
     message: str,
@@ -28,18 +32,18 @@ def respond(
     The system prompt is taken from the secret **prec_chat**.
     Users cannot edit it from the UI.
     """
-    # 1️⃣  Load the system prompt (fallback = generic assistant)
+    # Load the system prompt (fallback = generic assistant)
     system_message = _secret("prec_chat", "You are a helpful assistant.")
 
-    # 2️⃣  Initialise the HF inference client.
+    # Initialise the HF inference client
     client = InferenceClient(token=hf_token.token, model="openai/gpt-oss-20b")
 
-    # 3️⃣  Build the message list for the chat completion endpoint.
+    # Build the message list for the chat‑completion endpoint
     messages = [{"role": "system", "content": system_message}]
-    messages.extend(history)                     # previous conversation
-    messages.append({"role": "user", "content": message})  # current query
+    messages.extend(history)                     # previous conversation turns
+    messages.append({"role": "user", "content": message})  # current user query
 
-    # 4️⃣  Stream the response back to the UI.
+    # Stream the response back to the UI
     response = ""
     for chunk in client.chat_completion(
         messages,
@@ -57,7 +61,7 @@ def respond(
 
 
 # ----------------------------------------------------------------------
-# UI definition – the system‑prompt textbox has been removed.
+# 3️⃣  UI – the system‑prompt textbox has been removed.
 # ----------------------------------------------------------------------
 chatbot = gr.ChatInterface(
     respond,
@@ -77,30 +81,32 @@ chatbot = gr.ChatInterface(
 )
 
 # ----------------------------------------------------------------------
-# Build the Blocks layout (no LoginButton – we use our own auth).
+# 4️⃣  Assemble the Blocks layout (no LoginButton – we use basic auth)
 # ----------------------------------------------------------------------
 with gr.Blocks() as demo:
     chatbot.render()
 
 
 # ----------------------------------------------------------------------
-# Launch with **basic authentication**.
+# 5️⃣  Launch – protect the UI with the credentials from secrets.
 # ----------------------------------------------------------------------
 if __name__ == "__main__":
-    # Pull the allowed credentials from secrets (fallback = no access)
-    allowed_user = _secret("CHAT_USER", "")
-    allowed_pass = _secret("CHAT_PASS", "")
+    # Pull the allowed credentials from secrets (raise early if they are missing)
+    allowed_user = _secret("CHAT_USER")
+    allowed_pass = _secret("CHAT_PASS")
 
-    # If either is missing we refuse to start – this prevents an accidental
-    # open‑access deployment.
     if not allowed_user or not allowed_pass:
         raise RuntimeError(
             "Authentication credentials not found in secrets. "
-            "Add CHAT_USER and CHAT_PASS to secrets.toml."
+            "Add CHAT_USER and CHAT_PASS to secrets.toml (or via the HF Spaces UI)."
         )
 
     demo.launch(
         auth=(allowed_user, allowed_pass),   # <-- Gradio's built‑in basic auth
-        # optional: you can also set `auth_message="Please log in"` or
-        # `prevent_thread_lock=True` depending on your deployment.
+        # In a remote environment (HF Spaces, Docker, cloud VM) you need a shareable link:
+        share=True,                          # <-- remove if you run locally and can reach http://0.0.0.0:7860
+        # Optional – makes the server listen on all interfaces (useful in containers)
+        server_name="0.0.0.0",
+        # Optional – you can set a custom title, favicon, etc.
+        # title="Secure Chatbot",
     )