Update app.py

app.py

@@ -31,16 +31,36 @@ sample_texts = [
 st.title("📖 AI-Powered Adaptive Reading Engagement")
 st.write("Analyze how users engage with digital reading using AI-powered insights.")
 
-# Text Input
+# Use session state to store text input
+if "user_text" not in st.session_state:
+    st.session_state.user_text = ""
+
+# Dropdown menu to select a sample text
 text_option = st.selectbox("Choose a sample text or enter your own:", ["Use Sample"] + sample_texts)
+
+# Text input limit
+MAX_WORDS = 100  # Set the max word limit
+
+# If user selects "Use Sample," show a sample text
 if text_option == "Use Sample":
-    text = st.text_area("Read this passage:", random.choice(sample_texts), height=150)
+    text = st.text_area("Read this passage:", st.session_state.user_text or random.choice(sample_texts), height=150)
 else:
-    text = st.text_area("Enter your own text:", height=150)
+    text = st.text_area("Enter your own text:", st.session_state.user_text, height=150)
+
+# Count words in user input
+word_count = len(text.split())
+
+# Show word count & limit warning
+if word_count > MAX_WORDS:
+    st.warning(f"⚠️ Your input has {word_count} words. Please limit it to {MAX_WORDS} words.")
+
+# Save the text input to session state only if it is within the limit
+if word_count <= MAX_WORDS:
+    st.session_state.user_text = text
 
 # Sentiment Analysis
 if st.button("Analyze Engagement"):
-    if text:
+    if text and word_count <= MAX_WORDS:
         sentiment_score = sia.polarity_scores(text)
         emotion_results = emotion_pipeline(text)
 
@@ -59,5 +79,7 @@ if st.button("Analyze Engagement"):
         fig, ax = plt.subplots()
         ax.bar(labels, scores)
         st.pyplot(fig)
+    elif word_count > MAX_WORDS:
+        st.warning("⚠️ Please reduce the text length to analyze.")
     else:
-        st.warning("Please enter a text to analyze.")
+        st.warning("⚠️ Please enter a text to analyze.")