Update main.py

main.py

@@ -16,13 +16,14 @@ app = FastAPI()
 # Load the original tokenizer from the base model
 original_tokenizer = AutoTokenizer.from_pretrained("tabularisai/multilingual-sentiment-analysis")
 
-model_path = os.path.join(os.path.dirname(__file__), "multimodel")
+hf_token = os.getenv("HF_TOKEN")
 
 # Load the fine-tuned model and pass the tokenizer explicitly
 multilingual_model = pipeline(
     "sentiment-analysis",
-    model=model_path,
-    tokenizer=original_tokenizer
+    model="Ehrii/sentiment",
+    tokenizer=original_tokenizer,
+    token=hf_token
 )
 
 # English model remains unchanged