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README.md

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+---
+title: Gemma 4 Chat
+emoji: 🚀
+colorFrom: blue
+colorTo: red
+sdk: gradio
+sdk_version: 6.19.0
+python_version: "3.10"
+app_file: app.py
+pinned: false
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import os
+import gradio as gr
+from huggingface_hub import hf_hub_download
+from llama_cpp import Llama
+
+# 1. Fetch your secret credentials from the environment
+ADMIN_USER = os.environ.get("ADMIN_USER")
+ADMIN_PASS = os.environ.get("ADMIN_PASS")
+
+# 2. Define the path inside your persistent storage for Phi-4 Mini
+model_path = "/data/Phi-4-mini-instruct-Q4_K_M.gguf"
+
+# Auto-download from the UNGATED Unsloth public repository if missing
+if not os.path.exists(model_path):
+    print("\n📦 Initializing Gated-Bypass CPU Model Setup...")
+    hf_hub_download(
+        repo_id="unsloth/Phi-4-mini-instruct-GGUF",
+        filename="Phi-4-mini-instruct-Q4_K_M.gguf",
+        local_dir="/data"
+    )
+    print("✅ Download complete!\n")
+
+print("Loading model from persistent storage...")
+llm = Llama(
+    model_path=model_path,
+    n_ctx=2048,        
+    n_threads=2,       
+    n_batch=512,       
+    verbose=False       
+)
+
+# 3. Define the Chat Engine Logic
+def respond(message, history):
+    messages = [
+        {"role": "system", "content": "You are a helpful, intelligent AI assistant. Keep responses concise."}
+    ]
+    
+    # ROBUST GRADIO 6.0 HISTORY PARSING
+    # Iterates over individual message objects rather than historic pairs
+    for msg in history:
+        if hasattr(msg, "role") and hasattr(msg, "content"):
+            role = msg.role
+            content = msg.content
+        elif isinstance(msg, dict):
+            role = msg.get("role")
+            content = msg.get("content")
+        else:
+            continue
+            
+        if role and content:
+            messages.append({"role": str(role).lower(), "content": str(content)})
+        
+    # Safe current user text extraction (handles strings, objects, or dict messages)
+    user_text = message
+    if hasattr(message, "content"):
+        user_text = message.content
+    elif isinstance(message, dict) and "content" in message:
+        user_text = message["content"]
+        
+    messages.append({"role": "user", "content": str(user_text)})
+    
+    response = llm.create_chat_completion(
+        messages=messages,
+        max_tokens=512,
+        temperature=0.7,
+        stream=True
+    )
+    
+    partial_message = ""
+    for chunk in response:
+        if "choices" in chunk and len(chunk["choices"]) > 0:
+            delta = chunk["choices"][0].get("delta", {})
+            if "content" in delta:
+                partial_message += delta["content"]
+                yield partial_message
+
+# 4. Build the Application with custom Login Gate Routing
+with gr.Blocks() as demo:
+    
+    has_auth = bool(ADMIN_USER and ADMIN_PASS)
+    
+    # CONTAINER A: The Secure Login Box UI
+    with gr.Column(visible=has_auth) as login_container:
+        gr.Markdown("# 🔒 Protected Workspace\nPlease enter your administrator credentials to access the CPU environment.")
+        username_input = gr.Textbox(label="Username", placeholder="Enter username...")
+        password_input = gr.Textbox(label="Password", type="password", placeholder="Enter password...")
+        login_button = gr.Button("Access System", variant="primary")
+        error_output = gr.Markdown(visible=False)
+
+    # CONTAINER B: The Main Chat Application UI
+    with gr.Column(visible=not has_auth) as app_container:
+        gr.ChatInterface(
+            fn=respond,
+            title="Phi-4 Mini 3.8B Chat (CPU Optimized)",
+            description="Running instantly via persistent local storage with custom 2 vCPU optimizations."
+        )
+
+    # Core Verification Function
+    def handle_login(username, password):
+        if username == ADMIN_USER and password == ADMIN_PASS:
+            return gr.update(visible=False), gr.update(visible=True), gr.update(visible=False)
+        else:
+            return gr.update(visible=True), gr.update(visible=False), gr.update(value="❌ **Access Denied:** Invalid username or password.", visible=True)
+
+    # Link button click to verification function
+    login_button.click(
+        fn=handle_login,
+        inputs=[username_input, password_input],
+        outputs=[login_container, app_container, error_output]
+    )
+
+# 5. Launch the Space safely without launcher auth conflicts
+if __name__ == "__main__":
+    # Theme configuration parameter handled at launch level to comply with Gradio 6 updates
+    demo.launch(server_name="0.0.0.0", server_port=7860, theme="soft")

gitattributes

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requirements.txt

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+gradio
+huggingface_hub
+https://huggingface.co/Luigi/llama-cpp-python-wheels-hf-spaces-free-cpu/resolve/main/llama_cpp_python-0.3.22-cp310-cp310-linux_x86_64.whl