Update src/streamlit_app.py

src/streamlit_app.py

@@ -1,13 +1,22 @@
 import streamlit as st
-from transformers import pipeline
+from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline
 
-classifier = pipeline("text-classification", model="prd101-wd/phi1_5-sentiment-merged")
+# Load model and tokenizer
+model_name = "prd101-wd/phi1_5-sentiment-merged"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForSequenceClassification.from_pretrained(model_name)
 
-st.title("Text Classifier")
+# Create a pipeline
+classifier = pipeline("text-classification", model=model, tokenizer=tokenizer)
 
-text = st.text_area("Enter text:")
+# Streamlit UI
+st.title("Sentiment Classifier")
 
-if text:
-    result = classifier(text)[0]
-    st.write(f"**Label:** {result['label']}")
-    st.write(f"**Confidence:** {result['score']:.4f}")
+text = st.text_area("Enter text to classify:")
+
+if st.button("Classify"):
+    if text.strip():
+        result = classifier(text)[0]
+        st.markdown(f"**Label:** {result['label']}  \n**Score:** {result['score']:.4f}")
+    else:
+        st.warning("Please enter some text.")