Update app.py

app.py

@@ -14,14 +14,14 @@ def index():
     logger.info("Starting to fetch RSS feeds")
     articles = fetch_rss_feeds()
     logger.info(f"Fetched {len(articles)} articles")
-    process_and_store_articles(articles, summarize=False)  # Skip summarization initially
+    process_and_store_articles(articles)  # Load without summarization
     logger.info("Articles processed and stored")
     stored_docs = vector_db.similarity_search("news", k=len(articles))
     enriched_articles = [
         {
             "title": doc.metadata["title"],
             "link": doc.metadata["link"],
-            "summary": doc.page_content or doc.metadata["original_description"],  # Use description if no summary
+            "summary": doc.metadata["original_description"],  # Use original description initially
             "category": doc.metadata["category"],
             "sentiment": doc.metadata["sentiment"],
             "published": doc.metadata["published"],
@@ -40,7 +40,7 @@ def index():
                 {
                     "title": doc.metadata["title"],
                     "link": doc.metadata["link"],
-                    "summary": doc.page_content or doc.metadata["original_description"],
+                    "summary": summarize_article(doc.metadata["original_description"]),  # Summarize on search
                     "category": doc.metadata["category"],
                     "sentiment": doc.metadata["sentiment"],
                     "published": doc.metadata["published"],
@@ -48,7 +48,7 @@ def index():
                 }
                 for doc in results
             ]
-            logger.info(f"Search returned {len(enriched_articles)} results")
+            logger.info(f"Search returned {len(enriched_articles)} results with summaries")
 
     categorized_articles = {}
     for article in enriched_articles:
@@ -69,4 +69,4 @@ def summarize():
     return jsonify({"summary": summary})
 
 if __name__ == "__main__":
-    app.run(host="0.0.0.0", port=7860)
+    app.run(debug=True, host="0.0.0.0", port=7860)