Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Initialize the BART summarization model from Hugging Face
+summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
+
+# Define the function that will summarize the text
+def summarize_text(input_text):
+    summary = summarizer(input_text, max_length=150, min_length=50, do_sample=False)
+    return summary[0]['summary_text']
+
+# Create a Gradio interface
+iface = gr.Interface(fn=summarize_text, 
+                     inputs="text", 
+                     outputs="text",
+                     title="Text Summarization App",
+                     description="This app summarizes long-form text (articles, papers, books) into concise key points or a paragraph.",
+                     examples=[["Enter your article text here"]])
+
+# Launch the interface
+iface.launch()