Update app.py

app.py

@@ -1,11 +1,21 @@
 import gradio as gr
+from transformers import pipeline
 
-# Text to Speech Interface
+# Sentiment Analysis
+sentiment = pipeline("sentiment-analysis")
+
+def get_sentiment(input_text):
+    return sentiment(input_text)
+
+iface_sentiment = gr.Interface(get_sentiment, inputs="text", outputs="text", title="Sentiment Analysis")
+
+# Text to Speech Translation
 tts_title = "Text to Speech Translation"
 tts_examples = [
     "I love learning machine learning",
     "How do you do?",
 ]
+
 tts_demo = gr.Interface.load(
     "huggingface/facebook/fastspeech2-en-ljspeech",
     title=tts_title,
@@ -13,21 +23,8 @@ tts_demo = gr.Interface.load(
     description="Give me something to say!",
 )
 
-# Sentiment Analysis Interface
-sentiment_title = "Sentiment Analysis"
-sentiment_examples = [
-    "I love learning machine learning",
-    "How do you do?",
-]
-sentiment_demo = gr.Interface.load(
-    "huggingface/nlp-sentiment-analysis",
-    title=sentiment_title,
-    examples=sentiment_examples,
-    description="Analyze the sentiment of the text!",
-)
-
-# Tabbed Interface
-demo = gr.TabbedInterface([tts_demo, sentiment_demo], ["Text to Speech", "Sentiment Analysis"])
+# Launching both interfaces
+demo = gr.TabbedInterface([iface_sentiment, tts_demo], ["Sentiment Analysis", "Text to Speech"])
 
 if __name__ == "__main__":
     demo.launch()