Create app.py

app.py

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+import streamlit as st
+
+# Set up page
+st.title("💬 Sentiment Analysis App (Rule-based)")
+st.write("This app predicts the sentiment of your text using simple Python logic (no ML model).")
+
+# Input text
+user_input = st.text_area("Enter your text here:")
+
+# Basic keyword lists
+positive_words = ["good", "great", "happy", "excellent", "amazing", "love", "awesome", "fantastic", "positive", "nice"]
+negative_words = ["bad", "sad", "terrible", "horrible", "hate", "awful", "worst", "angry", "negative", "poor"]
+
+def analyze_sentiment(text):
+    text = text.lower()
+    pos_count = sum(word in text for word in positive_words)
+    neg_count = sum(word in text for word in negative_words)
+
+    if pos_count > neg_count:
+        return "😊 Positive"
+    elif neg_count > pos_count:
+        return "☹️ Negative"
+    else:
+        return "😐 Neutral"
+
+# Analyze button
+if st.button("Analyze"):
+    if user_input.strip():
+        result = analyze_sentiment(user_input)
+        st.subheader("Sentiment Result:")
+        st.success(result)
+    else:
+        st.warning("Please enter some text.")