Create app.py

app.py

@@ -0,0 +1,23 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load the summarization model
+summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
+
+def summarize_text(input_text):
+    # Summarize the input text
+    summary = summarizer(input_text, min_length=10, max_length=100, do_sample=False)
+    return summary[0]['summary_text']
+
+# Create the Gradio interface
+interface = gr.Interface(
+    fn=summarize_text,
+    inputs=gr.Textbox(label="Enter Text", placeholder="Type or paste your long text here...", lines=10),
+    outputs=gr.Textbox(label="Summary"),
+    title="Text Summarization App",
+    description="Enter a long piece of text and click the button to get a summarized version."
+)
+
+# Launch the app
+if __name__ == "__main__":
+    interface.launch()