Update app.py

app.py

@@ -4,7 +4,8 @@ from fastapi.middleware.cors import CORSMiddleware
 from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 import os
 import gc
-import torch  
+import torch
+import traceback
 
 app = FastAPI()
 
@@ -34,7 +35,7 @@ def summarize(req: SummarizeRequest):
     }
     
     if req.model_type not in models:
-        raise HTTPException(status_code=400, detail="Model tidak dikenali")
+        raise HTTPException(status_code=400, detail="Model not recognized")
 
     try:
         model_repo = models[req.model_type]
@@ -47,7 +48,7 @@ def summarize(req: SummarizeRequest):
         if req.model_type == "t5":
             text_input = "summarize: " + text_input
             
-        print("-> [2/3] Memulai proses komputasi AI (mohon tunggu)...", flush=True)
+        print("-> [2/3] Starting the AI computation process (please wait)...", flush=True)
         inputs = tokenizer(text_input, return_tensors="pt", max_length=1024, truncation=True)
 
         in_ids = inputs["input_ids"]
@@ -72,7 +73,7 @@ def summarize(req: SummarizeRequest):
             early_stopping=True
         )
         
-        print("-> [3/3] Komputasi selesai! Menerjemahkan token ke teks...", flush=True)
+        print("-> [3/3] Computation complete! Translating tokens to text...", flush=True)
         summary_result = tokenizer.decode(summary_ids[0], skip_special_tokens=True)
 
         summary_result = summary_result.strip()
@@ -88,10 +89,12 @@ def summarize(req: SummarizeRequest):
         del tokenizer
         del model
         gc.collect()
-        print("-> Sukses. Memori RAM kembali dibersihkan.", flush=True)
+        print("-> Success. The RAM has been cleared.", flush=True)
         
         return {"status": "success", "summary": summary_result}
         
     except Exception as e:
-        print(f"FATAL ERROR: {str(e)}", flush=True)
+        print("=== FULL ERROR TRACEBACK ===", flush=True)
+        traceback.print_exc()
+        print("============================", flush=True)
         raise HTTPException(status_code=500, detail=str(e))