Update src/streamlit_app.py

src/streamlit_app.py

@@ -2,15 +2,13 @@ import streamlit as st
 import requests
 import urllib.parse
 from langdetect import detect
-from gtts import gTTS
-import os
 
 st.set_page_config(page_title="WikiTrail", layout="wide")
 
 st.markdown("<h1 style='text-align: center;'>📚 WikiTrail</h1>", unsafe_allow_html=True)
 st.markdown("<p style='text-align: center;'>Explore Wikipedia topics visually and get a summarized journey.</p>", unsafe_allow_html=True)
 
-# Language options
+# Supported Languages
 languages = {
     "English": "en",
     "Hindi (हिन्दी)": "hi",
@@ -20,7 +18,7 @@ languages = {
 lang_name = st.selectbox("🌐 Select Language", list(languages.keys()), index=0)
 lang_code = languages[lang_name]
 
-# Topic input
+# User input
 topic_input = st.text_input("Enter a topic (in English)", placeholder="e.g., India, Hyderabad, Gandhi")
 
 # Search matches
@@ -51,7 +49,7 @@ def get_search_matches(title, lang):
             matches = search(lang, top_english_title)
     return matches
 
-# Safe summary fetch
+# Summary fetch
 def fetch_topic_summary(title, lang):
     safe_title = urllib.parse.quote(title.replace(" ", "_"))
     url = f"https://{lang}.wikipedia.org/api/rest_v1/page/summary/{safe_title}"
@@ -77,7 +75,7 @@ def fetch_related_topics(title, lang):
             return [link['title'] for link in pages[0]['links']]
     return []
 
-# Summary formatter
+# Summary bullets
 def summarize_bullets(summaries, limit=3):
     unique = list(set(summaries))
     full = ' '.join(unique)
@@ -86,12 +84,11 @@ def summarize_bullets(summaries, limit=3):
     top = cleaned[:limit]
     return ["• " + s + "." for s in top] if top else ["No summary available."]
 
-# MAIN logic
+# Main logic
 if topic_input:
     with st.spinner("🔍 Searching Wikipedia..."):
         summaries = []
 
-        # Detect language
         try:
             detected_lang = detect(topic_input)
         except:
@@ -103,9 +100,19 @@ if topic_input:
             st.error(f"No matching pages found in {lang_name}. Try a different topic.")
             st.stop()
 
-        selected_title = st.selectbox("🔎 Select best matching article:", matches)
+        # Store selected article in session to rerun on change
+        if "selected_title" not in st.session_state or st.session_state.last_topic != topic_input:
+            st.session_state.selected_title = matches[0]
+            st.session_state.last_topic = topic_input
 
-        # Main Topic Section
+        selected_title = st.selectbox("🔎 Select best matching article:", matches, index=matches.index(st.session_state.selected_title) if st.session_state.selected_title in matches else 0)
+
+        # Update session if user changes the dropdown
+        if selected_title != st.session_state.selected_title:
+            st.session_state.selected_title = selected_title
+            st.rerun()
+
+        # Main topic summary
         st.subheader("🔷 Main Topic")
         main = fetch_topic_summary(selected_title, lang_code)
         if main and main["summary"]:
@@ -113,19 +120,11 @@ if topic_input:
             st.markdown(f"### {main['title']}")
             st.write(main["summary"])
             st.markdown(f"[Read More →]({main['link']})", unsafe_allow_html=True)
-
-            # TTS
-            try:
-                tts = gTTS(text=main["summary"], lang=lang_code)
-                tts.save("summary.mp3")
-                st.audio("summary.mp3", format="audio/mp3")
-            except Exception as e:
-                st.warning("🔈 Text-to-speech not supported for this language or topic.")
         else:
             st.warning("Couldn't fetch the summary.")
             st.stop()
 
-        # Related Topics
+        # Related topics
         st.subheader("🔗 Related Topics")
         related = fetch_related_topics(selected_title, lang_code)
         if related: