Create app.py

app.py

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+import torch
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+import gradio as gr
+
+# 모델과 토크나이저 로드
+tokenizer = AutoTokenizer.from_pretrained("matthewburke/korean_sentiment")
+model = AutoModelForSequenceClassification.from_pretrained("matthewburke/korean_sentiment")
+
+# 예측 함수 정의
+def predict_sentiment(text):
+    inputs = tokenizer(text, return_tensors="pt")
+    outputs = model(**inputs)
+    prediction = torch.argmax(outputs.logits, dim=-1)
+    labels = ["Negative", "Neutral", "Positive"]
+    return labels[prediction]
+
+# Gradio 인터페이스 정의
+interface = gr.Interface(fn=predict_sentiment, inputs="text", outputs="text")
+interface.launch()