Create app.py

app.py

@@ -0,0 +1,46 @@
+import gradio as gr
+import requests
+import os
+
+# Retrieve secrets from the Hugging Face environment
+ACCOUNT_ID = os.environ.get("CLOUDFLARE_ACCOUNT_ID")
+API_TOKEN = os.environ.get("CLOUDFLARE_API_TOKEN")
+
+# We will use Llama-3 as the initial reasoning engine for testing
+MODEL = "@cf/meta/llama-3.1-8b-instruct"
+
+def ikm_reasoning_test(user_input):
+    if not ACCOUNT_ID or not API_TOKEN:
+        return "System Error: Cloudflare credentials not found in environment variables."
+        
+    url = f"https://api.cloudflare.com/client/v4/accounts/{ACCOUNT_ID}/ai/run/{MODEL}"
+    headers = {
+        "Authorization": f"Bearer {API_TOKEN}",
+        "Content-Type": "application/json"
+    }
+    
+    # This payload is simple now, but will eventually be fed by the Knowledge Aggregator
+    payload = {
+        "prompt": user_input
+    }
+    
+    try:
+        response = requests.post(url, headers=headers, json=payload)
+        response.raise_for_status()
+        data = response.json()
+        return data["result"]["response"]
+    except Exception as e:
+        return f"API Communication Error: {str(e)}"
+
+# User Interaction System - Phase 1 Interface
+demo = gr.Interface(
+    fn=ikm_reasoning_test,
+    inputs=gr.Textbox(lines=4, placeholder="Enter a command to test the IKM Reasoning Engine..."),
+    outputs=gr.Textbox(label="IKM Response"),
+    title="Emalawi19 Intelligent Knowledge Model (IKM)",
+    description="Phase 1: Establishing the core AI connection and basic User Interaction System.",
+    theme=gr.themes.Soft()
+)
+
+if __name__ == "__main__":
+    demo.launch()