Update app.py

Updated with Yoruba

app.py

@@ -23,7 +23,7 @@ def analyze_sentiment(text):
     confidence = f"{result['score']:.2f}"
     return [[sentiment, confidence]]
 
-# Example texts in different languages
+# Example texts in different languages including Yoruba
 examples = [
     ["I absolutely love this new phone, the camera is stunning!"],       # English
     ["Je déteste quand cette application plante sans cesse."],           # French
@@ -35,12 +35,15 @@ examples = [
     ["هذا الهاتف رائع للغاية، أنا سعيد جدًا به."],                        # Arabic
     ["この映画は本当に面白かった！"],                                       # Japanese
     ["De app werkt prima, maar kan beter."],                             # Dutch
+    ["Mo nifẹ́ fíìmù yìí gan-an!"],                                      # Yoruba Positive
+    ["Mo kọ́ láti rí ìrírí tó dáa nínú iṣẹ́ yìí."],                     # Yoruba Neutral
+    ["Mo bínú gan-an sí ìṣẹ̀lẹ̀ náà."],                                   # Yoruba Negative
 ]
 
 # Gradio UI
 demo = gr.Interface(
     fn=analyze_sentiment,
-    inputs=gr.Textbox(lines=3, placeholder="Type a sentence here in one of 10 languages..."),
+    inputs=gr.Textbox(lines=3, placeholder="Type a sentence here in one of 11+ languages..."),
     outputs=gr.Dataframe(
         headers=["Emotion (1–5 Stars)", "Confidence"],
         row_count=1,
@@ -49,8 +52,8 @@ demo = gr.Interface(
     examples=examples,
     title="🌍 Multilingual Emotion & Sentiment Analyzer",
     description=(
-        "Supports 10+ languages (English, French, German, Spanish, Italian, Dutch, "
-        "Portuguese, Russian, Arabic, Japanese). Detects fine-grained emotions "
+        "Supports 11+ languages (English, French, German, Spanish, Italian, Dutch, "
+        "Portuguese, Russian, Arabic, Japanese, Yoruba). Detects fine-grained emotions "
         "with 5 levels:\n\n"
         "😡 Very Negative | ☹️ Negative | 😐 Neutral | 🙂 Positive | 🤩 Very Positive"
     ),