added the app.py files

app.py

@@ -0,0 +1,35 @@
+import gradio as gr
+from transformers import pipeline
+
+# Function to perform sentiment analysis
+def sentiment_classifier(text):
+    try:
+        sentiment_classifier = pipeline("sentiment-analysis")
+        sentiment_response = sentiment_classifier(text)
+        label = sentiment_response[0]['label']
+        score = sentiment_response[0]['score']
+        return label, score
+    except Exception as e:
+        return str(e)
+
+# Create Gradio interface
+input_text = gr.Textbox(lines=10, label="Input Text", placeholder="Enter text for sentiment analysis...")
+output_label = gr.Textbox(label="Sentiment Label", placeholder="Sentiment label will appear here...")
+output_score = gr.Textbox(label="Sentiment Score", placeholder="Sentiment score will appear here...")
+
+# Author information
+author = "Ajeetkumar Ukande"
+
+# Create Gradio interface
+interface = gr.Interface(sentiment_classifier, inputs=input_text, outputs=[output_label, output_score], 
+             title="<div style='color: #336699; font-size: 24px; font-weight: bold; border: 2px solid #336699; padding: 10px; border-radius: 10px;'>Sentiment Analysis</div>", 
+             description=f"""<div style='color: #666666; font-family: Arial, sans-serif;'>
+                             <p style='margin-top: 10px;'>Enter some text for sentiment analysis.</p>
+                             <p>Developed by <span style='color: #336699; font-weight: bold;'>{author}</span>.</p>
+                             </div>""", 
+             theme="default" # Change theme to default
+             )
+
+# Deploy the interface to Hugging Face Spaces
+interface.launch(debug=True)
+