Create app.py

app.py

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+from flask import Flask, request, jsonify
+from brain import MairaBrain
+import os
+
+app = Flask(__name__)
+
+# --- CONFIGURATION ---
+# Using the high-IQ Llama 3.2 model we discussed
+REPO_ID = "bartowski/Llama-3.2-1B-Instruct-GGUF"
+FILENAME = "Llama-3.2-1B-Instruct-Q4_K_M.gguf"
+
+# Initialize Maira's Brain
+# This will download the model the first time it runs
+maira = MairaBrain(REPO_ID, FILENAME)
+
+@app.route("/", methods=["GET"])
+def home():
+    return "Maira AI Engine v6.0 (Llama 3.2) is Running."
+
+@app.route("/chat", methods=["POST"])
+def chat():
+    try:
+        data = request.json
+        user_message = data.get("message", "")
+        user_id = data.get("user_id", "default_user") # From WhatsApp number
+
+        if not user_message:
+            return jsonify({"error": "No message provided"}), 400
+
+        # Get response from Maira
+        response = maira.get_response(user_id, user_message)
+        
+        return jsonify({
+            "status": "success",
+            "response": response
+        })
+    except Exception as e:
+        print(f"Error: {e}")
+        return jsonify({"status": "error", "message": str(e)}), 500
+
+if __name__ == "__main__":
+    # Hugging Face Spaces require port 7860
+    app.run(host="0.0.0.0", port=7860)