Update app.py

app.py

@@ -8,7 +8,6 @@ from database import verify_api_key_db, save_evaluation_to_db
 
 @spaces.GPU
 def evaluate_trajectory_api(api_key: str, payload_json: str) -> str:
-    # 1. Verificare API Key & Cota 500
     auth_ctx = verify_api_key_db(api_key)
     if not auth_ctx:
         return json.dumps({"error": "Access Denied. Invalid API Key.", "status_code": 403})
@@ -19,34 +18,34 @@ def evaluate_trajectory_api(api_key: str, payload_json: str) -> str:
             "status_code": 429
         })
 
-    # 2. Parsare payload JSON
     try:
         raw_payload = json.loads(payload_json)
     except Exception as e:
         return json.dumps({"error": f"Malformed JSON: {e}", "status_code": 400})
 
-    # 3. Rulare evaluare ONNX + Prompt Patch Groq
     report = evaluate_trajectories_batch(raw_payload, "standard", False)
     ai_markdown = generate_ai_report(report)
     report["narrative_report"] = ai_markdown
 
-    # 4. Salvare asincrona in Supabase
     if auth_ctx.get("project_id"):
         save_evaluation_to_db(auth_ctx["project_id"], report)
 
     return json.dumps(report)
 
-demo = gr.Interface(
-    fn=evaluate_trajectory_api,
-    inputs=[
-        gr.Textbox(label="API Key", type="password"),
-        gr.Textbox(label="Trajectory JSON", lines=6)
-    ],
-    outputs=gr.Textbox(label="Diagnostic Report JSON", lines=10),
-    title="Limina AI — Cognitive Trajectory Engine",
-    description="Live Evaluation Engine API endpoint active on ZeroGPU.",
-    api_name="evaluate"
-)
+with gr.Blocks(title="Limina AI Engine") as demo:
+    gr.Markdown("# Limina AI — Cognitive Trajectory Engine API")
+    api_key_input = gr.Textbox(label="API Key", type="password")
+    payload_input = gr.Textbox(label="Trajectory JSON", lines=6)
+    output_json = gr.Textbox(label="Diagnostic Report JSON", lines=10)
+    submit_btn = gr.Button("Evaluate")
+    
+    # Inregistrare explicita a endpoint-ului /evaluate
+    submit_btn.click(
+        fn=evaluate_trajectory_api,
+        inputs=[api_key_input, payload_input],
+        outputs=output_json,
+        api_name="evaluate"
+    )
 
 if __name__ == "__main__":
     demo.launch()