Add model files

app.py

@@ -0,0 +1,23 @@
+import streamlit as st
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+import torch
+
+model_name = "."
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForSequenceClassification.from_pretrained(model_name)
+
+st.title("Sentiment Classifier")
+
+user_input = st.text_input("Enter text to classify:")
+
+if st.button("Classify"):
+    if user_input:
+        inputs = tokenizer(user_input, return_tensors="pt")
+        with torch.no_grad():
+            outputs = model(**inputs)
+        probs = outputs.logits.softmax(dim=-1).tolist()[0]
+        
+        st.write(f"Positive: {probs[1]:.4f}")
+        st.write(f"Negative: {probs[0]:.4f}")
+    else:
+        st.write("Please enter some text to classify.")