Create app.py

app.py

@@ -0,0 +1,25 @@
+import gradio as gr
+from transformers import pipeline
+
+# Initialize the summarization pipeline with a specified model
+text_summary = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6")
+
+def summarize_text(input_text):
+    """Function to summarize the input text."""
+    summary_result = text_summary(input_text)
+    return summary_result[0]['summary_text']
+
+# Close any existing Gradio interfaces
+gr.close_all()
+
+# Define a Gradio interface for the summarization function
+demo = gr.Interface(
+    fn=summarize_text,
+    inputs=gr.Textbox(label="Input text to summarize", lines=10, placeholder="Enter your text here..."),
+    outputs=gr.Textbox(label="Summarized text", lines=4),
+    title="Text Summarizer",
+    description="This application summarizes text. Just paste your text and get a summary!"
+)
+
+# Launch the Gradio interface
+demo.launch()