Create app.py

app.py

@@ -0,0 +1,21 @@
+import streamlit as st
+from transformers import pipeline
+
+# Title and description
+st.title("Sentiment Analysis")
+st.write("This application performs text classification using a pre-trained Hugging Face model.")
+
+# Define the model and pipeline
+model_name = "distilbert-base-uncased-finetuned-sst-2-english"
+classifier = pipeline("sentiment-analysis", model=model_name)
+
+# Get user input
+user_input = st.text_area("Enter text:", placeholder="Type your text here...")
+
+# Analyze and display results
+if st.button("Analyze"):
+    if user_input.strip():
+        result = classifier(user_input)
+        st.write(f"**Result:** {result[0]['label']} ({result[0]['score']:.2f})")
+    else:
+        st.warning("Please enter some text.")