Update app.py

app.py

@@ -35,32 +35,33 @@ st.write("Analyze how users engage with digital reading using AI-powered insight
 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)
+# Dropdown menu with a new option for "Choose Your Own Text"
+text_option = st.selectbox("Choose a sample text or enter your own:", ["Choose Your Own Text"] + 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:", st.session_state.user_text or random.choice(sample_texts), height=150)
-else:
+# If user selects a sample text, use it. Otherwise, allow manual input.
+if text_option == "Choose Your Own Text":
     text = st.text_area("Enter your own text:", st.session_state.user_text, height=150)
+else:
+    text = sample_texts[sample_texts.index(text_option)]  # Select the chosen sample text
 
-# Count words in user input
+# Show word count & limit warning only if the user is entering their own text
 word_count = len(text.split())
+if text_option == "Choose Your Own Text":
+    st.markdown(f'<p style="font-size:12px; color:gray;">⚠️ Limit: {MAX_WORDS} words max.</p>', unsafe_allow_html=True)
 
-# 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.")
+    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:
+# Save user input in session state only if within limit
+if text_option == "Choose Your Own Text" and word_count <= MAX_WORDS:
     st.session_state.user_text = text
 
 # Sentiment Analysis
 if st.button("Analyze Engagement"):
-    if text and word_count <= MAX_WORDS:
+    if text and (text_option != "Choose Your Own Text" or word_count <= MAX_WORDS):
         sentiment_score = sia.polarity_scores(text)
         emotion_results = emotion_pipeline(text)
 
@@ -79,7 +80,7 @@ if st.button("Analyze Engagement"):
         fig, ax = plt.subplots()
         ax.bar(labels, scores)
         st.pyplot(fig)
-    elif word_count > MAX_WORDS:
+    elif text_option == "Choose Your Own Text" and word_count > MAX_WORDS:
         st.warning("⚠️ Please reduce the text length to analyze.")
     else:
         st.warning("⚠️ Please enter a text to analyze.")