Create app.py

app.py

@@ -0,0 +1,32 @@
+import streamlit as st
+
+# Sample positive and negative word lists
+positive_words = ["good", "great", "happy", "excellent", "love", "wonderful", "amazing", "nice", "awesome"]
+negative_words = ["bad", "terrible", "sad", "hate", "horrible", "awful", "worst", "angry", "disappointed"]
+
+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 😊", pos_count, neg_count
+    elif neg_count > pos_count:
+        return "Negative 😞", pos_count, neg_count
+    else:
+        return "Neutral 😐", pos_count, neg_count
+
+# Streamlit UI
+st.title("Simple Sentiment Analyzer (No ML) 🧠")
+st.write("This app detects sentiment using rule-based logic (no ML model).")
+
+text_input = st.text_area("Enter your sentence here:")
+
+if st.button("Analyze"):
+    if text_input.strip() == "":
+        st.warning("Please enter some text!")
+    else:
+        sentiment, pos, neg = analyze_sentiment(text_input)
+        st.subheader("Result:")
+        st.write(f"**Sentiment:** {sentiment}")
+        st.write(f"Positive Words: {pos}, Negative Words: {neg}")