Update app.py

app.py

@@ -1,30 +1,31 @@
-# sentiment_app.py
+# calculator_app.py
 
 import streamlit as st
-from transformers import pipeline
 
-# Load sentiment analysis pipeline
-@st.cache_resource
-def load_model():
-    return pipeline("sentiment-analysis")
+st.set_page_config(page_title="Simple Calculator", layout="centered")
+st.title("🧮 Simple Calculator")
 
-classifier = load_model()
+# User inputs
+num1 = st.number_input("Enter first number:", value=0.0, format="%.2f")
+num2 = st.number_input("Enter second number:", value=0.0, format="%.2f")
 
-# Streamlit UI
-st.set_page_config(page_title="Sentiment Classifier", layout="centered")
-st.title("🧠 Sentiment Classification App")
-st.write("Enter a piece of text, and the model will predict its sentiment.")
+# Operation selector
+operation = st.selectbox("Select operation:", ("Add", "Subtract", "Multiply", "Divide"))
 
-# Text input
-text_input = st.text_area("Enter your text here", height=150)
-
-# Predict button
-if st.button("Classify Sentiment"):
-    if text_input.strip() == "":
-        st.warning("Please enter some text to analyze.")
-    else:
-        with st.spinner("Analyzing..."):
-            result = classifier(text_input)
-            label = result[0]['label']
-            score = result[0]['score']
-            st.success(f"**Prediction:** {label} ({score:.2f} confidence)")
+# Perform calculation
+if st.button("Calculate"):
+    if operation == "Add":
+        result = num1 + num2
+        st.success(f"Result: {result:.2f}")
+    elif operation == "Subtract":
+        result = num1 - num2
+        st.success(f"Result: {result:.2f}")
+    elif operation == "Multiply":
+        result = num1 * num2
+        st.success(f"Result: {result:.2f}")
+    elif operation == "Divide":
+        if num2 == 0:
+            st.error("Error: Division by zero is not allowed.")
+        else:
+            result = num1 / num2
+            st.success(f"Result: {result:.2f}")