Create app.py

app.py

@@ -0,0 +1,21 @@
+import gradio as gr
+from transformers import pipeline
+
+# Initialize the summarization pipeline
+summarizer = pipeline("summarization")
+
+def generate_summary(text):
+    summary_text = summarizer(text, max_length=130, min_length=30, do_sample=False)
+    return summary_text[0]['summary_text']
+
+# Create a Gradio interface with custom labels
+interface = gr.Interface(fn=generate_summary, 
+                         inputs=gr.Textbox(lines=10, 
+                                                  placeholder="Enter Text Here...", 
+                                                  label="Input Text for Summarization"), 
+                         outputs=gr.Textbox(label="Summarized Text"),
+                         title="Text Summarization",
+                         description="Enter a block of text to generate a concise summary using a Transformers model")
+
+# Launch the interface
+interface.launch()