Upload main py

main.py

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+from huggingface_hub import hf_hub_download
+import torch
+from transformers import AutoModelForSequenceClassification as modelSC, AutoTokenizer as token
+
+model_path = hf_hub_download(repo_id="MienOlle/sentiment_analysis_api",
+                             filename="sentimentAnalysis.pth"
+                             )
+modelToken = token.from_pretrained("mdhugol/indonesia-bert-sentiment-classification")
+model = modelSC.from_pretrained("mdhugol/indonesia-bert-sentiment-classification", num_labels=3)
+model.load_state_dict(torch.load(model_path, map_location=torch.device("cpu")))
+model.eval()
+
+def predict(input):
+    inputs = modelToken(input, return_tensors="pt", padding=True, truncation=True, max_length=512)
+    
+    with torch.no_grad():
+        outputs = model(**inputs)
+    
+    logits = outputs.logits
+    ret = logits.argmax.item()
+
+    labels = ["positive", "neutral", "negative"]
+    return labels[ret]