added app.py files

app.py

@@ -0,0 +1,34 @@
+import gradio as gr
+from transformers import pipeline
+
+
+# Function to perform summarization
+def summarize_text(text):
+    try:
+        summerizer = pipeline('summarization', model='google/t5-small')
+        summarized_text = summerizer(text)[0]['summary_text']
+        return summarized_text
+    except Exception as e:
+        return str(e)
+
+# Create Gradio interface
+input_text = gr.Textbox(lines=10, label="Input Text", placeholder="Enter text to summarize...")
+output_text = gr.Textbox(label="Summarized Text", placeholder="Summarized text will appear here...")
+
+# Author information
+author = "Ajeetkumar Ukande"
+
+# Create Gradio interface
+interface = gr.Interface(summarize_text, inputs=input_text, outputs=output_text, 
+             title="<div style='color: #336699; font-size: 24px; font-weight: bold; border: 2px solid #336699; padding: 10px; border-radius: 10px;'>Text Summarizer</div>", 
+             description=f"""<div style='color: #666666; font-family: Arial, sans-serif;'>
+                             <p style='margin-top: 10px;'>Enter some text and get it summarized.</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(share=True, debug=True)
+