Create app.py

app.py

@@ -0,0 +1,24 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load the summarization model
+summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
+
+# Define the summarization function
+def summarize_text(text):
+    if not text.strip():
+        return "Please enter some text to summarize."
+    summary = summarizer(text, max_length=130, min_length=30, do_sample=False)
+    return summary[0]['summary_text']
+
+# Set up the Gradio interface
+iface = gr.Interface(
+    fn=summarize_text,
+    inputs=gr.Textbox(lines=15, label="Enter text to summarize"),
+    outputs=gr.Textbox(label="Summary"),
+    title="Text Summarizer",
+    description="Paste long text and get a summary using BART model."
+)
+
+# Launch the app
+iface.launch()