Sync from GitHub via hub-sync

VERSION

@@ -1 +1 @@
-78b2e883b6862c281483b27ff658e551d14e4bbe
+cc68171513c91148b7ac59a8fd45a07f5d01798d

main.py

@@ -3,6 +3,7 @@ import os
 from pathlib import Path
 
 import gradio as gr
+from huggingface_hub import InferenceClient
 
 
 def _build_label() -> str:
@@ -24,36 +25,67 @@ def _build_label() -> str:
     return f"Version: {version} | Commit: {short_commit} | Loaded: {deployed_at}"
 
 
-def echo_with_meta(message: str) -> str:
-    clean = (message or "").strip()
-    if not clean:
-        return "Type something to test your CI/CD sync."
+# Initialize HF Inference Client with Z.ai provider (via HF_TOKEN)
+client = InferenceClient()
+MODEL = "zai-org/GLM-5.1"
 
-    now = dt.datetime.utcnow().strftime("%Y-%m-%d %H:%M:%S UTC")
-    return (
-        f"You typed: {clean}\n"
-        f"Length: {len(clean)} characters\n"
-        f"Built from GitHub sync demo\n"
-        f"Timestamp: {now}"
-    )
 
+def chat_response(message: str, history: list) -> str:
+    """
+    Send a message to the GLM-5.1 model and get a response.
+    history is a list of [user_msg, assistant_msg] pairs.
+    """
+    if not message or not message.strip():
+        return "Please enter a message."
+
+    try:
+        # Convert Gradio chat history format to messages for the API
+        messages = []
+        for user_msg, assistant_msg in history:
+            messages.append({"role": "user", "content": user_msg})
+            if assistant_msg:
+                messages.append({"role": "assistant", "content": assistant_msg})
+        
+        # Add current user message
+        messages.append({"role": "user", "content": message})
+
+        # Call the model via HF Inference API
+        response = client.chat_completion(
+            model=MODEL,
+            messages=messages,
+            max_tokens=512,
+        )
+        
+        return response.choices[0].message.content
+    except Exception as e:
+        return f"Error: {str(e)}"
 
-with gr.Blocks(title="GitHub to Hugging Face Sync Demo") as demo:
-    gr.Markdown("# GitHub to HuggingFace CI/CD Demo")
+
+with gr.Blocks(title="GitHub + HuggingFace + AI Chat Demo") as demo:
+    gr.Markdown("# GitHub → HuggingFace → AI Chat")
     gr.Markdown(f"**{_build_label()}**")
     gr.Markdown(
-        "Edit this app in GitHub, push a commit, and your Hugging Face Space updates automatically."
+        f"Powered by **{MODEL}** via Z.ai on HuggingFace. Push to GitHub, auto-syncs here."
     )
 
-    text = gr.Textbox(
-        label="Try a message",
-        placeholder="Change this app in GitHub and test it here",
-        lines=3,
+    gr.ChatInterface(
+        chat_response,
+        examples=[
+            "What is the capital of France?",
+            "Explain quantum computing in simple terms.",
+            "Write a short poem about the moon.",
+        ],
+        title=None,
+        description="Ask me anything!",
     )
-    output = gr.Textbox(label="Result", lines=6)
-    run_btn = gr.Button("Run")
 
-    run_btn.click(fn=echo_with_meta, inputs=[text], outputs=[output])
+
+if __name__ == "__main__":
+    # server_name="0.0.0.0" is required inside HF Space containers.
+    # root_path ensures Gradio resolves JS/CSS assets correctly when running
+    # behind a reverse proxy or custom domain.
+    _root_path = os.getenv("GRADIO_ROOT_PATH", "").rstrip("/")
+    demo.launch(server_name="0.0.0.0", root_path=_root_path)
 
 
 if __name__ == "__main__":

requirements.txt

@@ -1 +1,2 @@
 gradio>=5.49.1
+huggingface-hub>=0.24.0