import streamlit as st

# Simple keyword lists
positive_words = ["good", "great", "excellent", "happy", "love", "fantastic", "amazing"]
negative_words = ["bad", "terrible", "awful", "sad", "hate", "horrible", "poor"]

# App title
st.set_page_config(page_title="Sentiment Analysis", page_icon="💬")
st.title("💬 Simple Sentiment Analysis App")
st.write("This is a basic sentiment analysis app using simple keyword matching.")

# User input
text = st.text_area("Enter text to analyze:")

# Function for basic sentiment check
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 Sentiment"):
    if text.strip() == "":
        st.warning("Please enter some text.")
    else:
        sentiment = analyze_sentiment(text)
        st.success(f"Sentiment: **{sentiment}**")