Delete inference.py

inference.py

@@ -1,39 +0,0 @@
-import os
-import gradio as gr
-
-# Environment variables – NO default for HF_TOKEN (must be None if missing)
-API_BASE_URL = os.getenv("API_BASE_URL")        # can have a default if you want, but the instruction says "defaults are set only for API_BASE_URL and MODEL_NAME"
-MODEL_NAME = os.getenv("MODEL_NAME")
-HF_TOKEN = os.getenv("HF_TOKEN")                # MUST NOT have a default (no `or "something"`)
-
-# Optional – only if you use from_docker_image()
-LOCAL_IMAGE_NAME = os.getenv("LOCAL_IMAGE_NAME")
-
-# Optional: If you need to use OpenAI client, configure it like:
-# from openai import OpenAI
-# client = OpenAI(api_key=HF_TOKEN, base_url=API_BASE_URL)
-
-def predict(packet_data: str):
-    """
-    Replace this with your actual MayOne detection logic.
-    You can import your existing framework modules if you copy them into the Space.
-    """
-    # Dummy result – replace with real inference
-    result = {
-        "anomaly_score": 0.92,
-        "verdict": "malicious",
-        "model": MODEL_NAME or "MayOne-Security-Framework"
-    }
-    return result
-
-# Create Gradio interface
-demo = gr.Interface(
-    fn=predict,
-    inputs=gr.Textbox(label="Packet Data (hex or raw)", lines=5),
-    outputs=gr.JSON(label="Detection Result"),
-    title="MayOne Security Framework",
-    description="AI-powered network intrusion detection for Windows"
-)
-
-if __name__ == "__main__":
-    demo.launch(server_name="0.0.0.0", server_port=7860)