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app.py

@@ -5,17 +5,17 @@ from fastapi import FastAPI, HTTPException, Request
 from pydantic import BaseModel
 from transformers import pipeline
 
-MODEL_NAME = "ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa"
+MODEL_NAME = "ihsan31415/indo-roBERTa-financial-sentiment"
 API_KEY = os.getenv("API_KEY")
 
-# Label mapping — IndoNLU SMSA: positive/neutral/negative
+# Label mapping — flipped: 0=Positive, 1=Neutral, 2=Negative
 LABEL_MAP = {
-    "positive": "positive",
-    "neutral": "neutral",
-    "negative": "negative",
     "label_0": "positive",
     "label_1": "neutral",
     "label_2": "negative",
+    "positive": "positive",
+    "neutral": "neutral",
+    "negative": "negative",
 }
 
 classifier = None

requirements.txt

@@ -1,4 +1,4 @@
 fastapi==0.115.5
 uvicorn[standard]==0.32.1
-transformers
-torch
+transformers>=4.51.0
+torch>=2.6.0