create app.py

app.py

@@ -0,0 +1,25 @@
+import streamlit as st
+from transformers import pipeline
+
+# Load the sentiment analysis pipeline from Hugging Face
+nlp = pipeline("sentiment-analysis", model="distilbert-base-uncased-finetuned-sst-2-english")
+
+# Streamlit app layout
+st.title("Simple Sentiment Analysis")
+st.write("This app uses a pre-trained model from Hugging Face to perform sentiment analysis on user input.")
+
+# User input
+user_input = st.text_area("Enter some text to analyze:", value="", height=150, max_chars=500)
+
+if user_input:
+    # Perform sentiment analysis on the user input
+    result = nlp(user_input)
+
+    # Display the sentiment analysis result
+    sentiment = result[0]["label"]
+    confidence = result[0]["score"]
+
+    st.write(f"Sentiment: {sentiment}")
+    st.write(f"Confidence: {confidence:.2f}")
+else:
+    st.write("Please enter some text to analyze.")