Update app.py

app.py

@@ -101,7 +101,7 @@ def fetch_articles(ticker):
             title = article.get("title", "")
             description = article.get("description", "")
             return title + " " + description
-        return f"No news articles found for {ticker}."
+        return None
     # checks specific HTTP errors
     except requests.exceptions.HTTPError as http_err:
         print(f"[ERROR] HTTP error for {ticker}: {http_err}")
@@ -136,8 +136,15 @@ def analyze_ticker(user_ticker: str):
             continue
 
         print(f"[INFO] Fetching fresh data for {tk}")
+        
         article_text = fetch_articles(tk)
-        sentiment_score = predict_sentiment(article_text)
+        
+        if article_text is None:
+            sentiment_score = None
+            article_text = f"No news articles found for {tk}."
+        else:
+            sentiment_score = predict_sentiment(article_text)
+        
         timestamp = datetime.datetime.utcnow()
 
         cache_entry = {
@@ -156,15 +163,21 @@ def analyze_ticker(user_ticker: str):
 def display_sentiment(results):
     html = "<h2>Sentiment Analysis</h2><ul>"
     for r in results:
-        ts_str = r["timestamp"].strftime("%Y‑%m‑%d %H:%M:%S UTC")
+        ts_str = r["timestamp"].strftime("%Y-%m-%d %H:%M:%S UTC")
+        score_display = (
+            f"{r['sentiment']:.2f}"
+            if r['sentiment'] is not None else
+            "—"
+        )
         html += (
             f"<li><b>{r['ticker']}</b> &nbsp;({ts_str})<br>"
             f"{r['article']}<br>"
-            f"<i>Sentiment score:</i> {r['sentiment']:.2f}" "</li>"
+            f"<i>Sentiment score:</i> {score_display}</li>"
         )
     html += "</ul>"
     return html
 
+
 with gr.Blocks() as demo:
     gr.Markdown("# Ticker vs. SPY Sentiment Tracker")
     input_box = gr.Textbox(label="Enter any ticker symbol (e.g., AAPL)")