Create app.py

app.py

@@ -0,0 +1,26 @@
+import gradio as gr
+from transformers import pipeline
+
+# Initialize the summarization pipeline with facebook/bart-large-cnn
+summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
+
+def summarize_text(text):
+    # Generate summary with a minimum of 10 tokens and a maximum of 100 tokens
+    summary = summarizer(text, min_length=10, max_length=100)
+    return summary[0]['summary_text']
+
+# Create the Gradio interface
+demo = gr.Interface(
+    fn=summarize_text,
+    inputs=gr.Textbox(
+        lines=10, 
+        placeholder="Enter a long piece of text here...",
+        label="Input Text"
+    ),
+    outputs=gr.Textbox(label="Summary"),
+    title="BART Text Summarizer",
+    description="Enter a long piece of text and get a concise summary using facebook/bart-large-cnn."
+)
+
+if __name__ == "__main__":
+    demo.launch()