Update app.py

app.py

@@ -0,0 +1,37 @@
+import streamlit as st
+
+# --- Define lists of positive and negative words ---
+positive_words = [
+    "good", "great", "awesome", "fantastic", "amazing", "love", "nice", "happy", "excellent", "positive", "wonderful"
+]
+
+negative_words = [
+    "bad", "terrible", "awful", "worst", "hate", "horrible", "sad", "angry", "disappointing", "negative", "poor"
+]
+
+# --- Streamlit UI ---
+st.set_page_config(page_title="Sentiment Analyzer", layout="centered")
+st.title("🧠 Rule-based Sentiment Analyzer")
+st.markdown("This app performs sentiment analysis **without any machine learning model**, based on keywords.")
+
+text = st.text_area("✍️ Enter your sentence here:", height=150)
+
+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"
+
+if st.button("🔍 Analyze Sentiment"):
+    if text.strip() == "":
+        st.warning("Please enter some text.")
+    else:
+        result = analyze_sentiment(text)
+        st.subheader("📊 Sentiment Result:")
+        st.success(result)