Create app.py

app.py

@@ -0,0 +1,114 @@
+import gradio as gr
+from openai import OpenAI
+import json
+from datetime import datetime
+import uuid
+from huggingface_hub import HfFileSystem
+
+# Initialize the Hugging Face file system pipeline
+# This automatically authenticates via the HF_TOKEN environment variable
+fs = HfFileSystem()
+
+# ⚠️ SYSTEM CONFIG: Define your namespace and bucket
+BUCKET_NAMESPACE = "your-username-or-org" 
+BUCKET_NAME = "fsu-node-telemetry"
+
+def capture_intelligence_trace(user_input, bot_output):
+    """
+    Transforms interaction data into a reusable asset.
+    Writes a unique JSON file to the Hub Bucket for every query.
+    """
+    try:
+        timestamp = datetime.utcnow().strftime("%Y%m%d_%H%M%S")
+        trace_id = uuid.uuid4().hex[:8]
+        file_path = f"hf://buckets/{BUCKET_NAMESPACE}/{BUCKET_NAME}/traces/{timestamp}_{trace_id}.json"
+        
+        payload = {
+            "timestamp": datetime.utcnow().isoformat(),
+            "user_input": user_input,
+            "model_output": bot_output
+        }
+        
+        # Write directly to the Hugging Face Storage Bucket
+        with fs.open(file_path, "w") as f:
+            f.write(json.dumps(payload, indent=2))
+            
+    except Exception as e:
+        # Failsafe: Log error to console, maintain system stability for the user
+        print(f"Data Capture Pipeline Error: {e}")
+
+def fsu_agent(message, history, api_key):
+    if not api_key:
+        return "System locked: Please enter your OpenAI API Key in the configuration panel below."
+    
+    try:
+        client = OpenAI(api_key=api_key)
+        
+        messages = [
+            {
+                "role": "system", 
+                "content": "You are an elite Florida State University (FSU) intelligence agent. You provide highly accurate, actionable information regarding FSU campus life, academic infrastructure, and Seminoles Division 1 football history. Default to thinking in systems. Be concise, eliminate filler, and output structured data where appropriate."
+            }
+        ]
+        
+        for user_msg, bot_msg in history:
+            messages.append({"role": "user", "content": user_msg})
+            messages.append({"role": "assistant", "content": bot_msg})
+            
+        messages.append({"role": "user", "content": message})
+        
+        response = client.chat.completions.create(
+            model="gpt-4o-mini",
+            messages=messages,
+            temperature=0.4
+        )
+        
+        bot_response = response.choices[0].message.content
+        
+        # Trigger the data capture loop in the background
+        capture_intelligence_trace(message, bot_response)
+        
+        return bot_response
+        
+    except Exception as e:
+        return f"Pipeline Error: {str(e)}"
+
+# Custom CSS implementation for the glassmorphic visual interface
+glassmorphism_css = """
+body {
+    background: linear-gradient(135deg, #fdfbfb 0%, #ebedee 100%);
+}
+.gradio-container {
+    background: rgba(255, 255, 255, 0.65) !important;
+    backdrop-filter: blur(16px) !important;
+    -webkit-backdrop-filter: blur(16px) !important;
+    border-radius: 18px !important;
+    border: 1px solid rgba(255, 255, 255, 0.5) !important;
+    box-shadow: 0 8px 32px 0 rgba(31, 38, 135, 0.07) !important;
+}
+"""
+
+with gr.Blocks(css=glassmorphism_css, theme=gr.themes.Default(primary_hue="red", neutral_hue="zinc")) as demo:
+    gr.Markdown("## 🍢 FSU Intelligence Node")
+    gr.Markdown("A domain-specific AI pipeline engineered for Florida State University logistics and Division 1 football strategy.\n\n*Compute requires user-provided API authentication. Interaction telemetry is systematically captured to train future models.*")
+    
+    with gr.Accordion("Agent Configuration (Required)", open=True):
+        api_input = gr.Textbox(
+            label="OpenAI API Key", 
+            placeholder="sk-proj-...", 
+            type="password",
+            info="Injected dynamically at runtime. Keys are not stored or logged."
+        )
+        
+    gr.ChatInterface(
+        fn=fsu_agent,
+        additional_inputs=[api_input],
+        examples=[
+            "Break down the structural timeline of FSU's Division 1 football championships.",
+            "What are the core technology infrastructure facilities on the Tallahassee campus?",
+            "Provide a statistical overview of the 2013 Seminoles season."
+        ]
+    )
+
+if __name__ == "__main__":
+    demo.launch()