Update app.py

app.py

@@ -1,5 +1,21 @@
-pip install transformers
-from transformers import pipeline
+from transformers import AutoTokenizer, TFAutoModelForSequenceClassification
+import streamlit as st
 
-sentiment_classification = pipeline("text-classification", "SamLowe/roberta-base-go_emotions")
+# Hugging Face 모델 로드
+tokenizer = AutoTokenizer.from_pretrained("bert-base-uncased")  # 모델 이름 변경
+model = TFAutoModelForSequenceClassification.from_pretrained("bert-base-uncased")
 
+# Streamlit 앱
+st.title("Text Analysis with Hugging Face Model")
+st.write("Enter text below to analyze it using the selected Hugging Face model.")
+
+# 입력 필드
+input_text = st.text_input("Enter text here:")
+if st.button("Analyze"):
+    try:
+        inputs = tokenizer(input_text, return_tensors="tf")
+        outputs = model(**inputs)
+        logits = outputs.logits.numpy().tolist()
+        st.write("Model Output (logits):", logits)
+    except Exception as e:
+        st.error(f"Error during model inference: {e}")