Create app.py

app.py

@@ -0,0 +1,21 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load summarization pipeline
+summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
+
+# Function to summarize text
+def summarize_text(text):
+    summary = summarizer(text, max_length=130, min_length=30, do_sample=False)
+    return summary[0]['summary_text']
+
+# Gradio interface
+interface = gr.Interface(
+    fn=summarize_text,
+    inputs=gr.Textbox(lines=10, placeholder="Paste your long text here...", label="Input Text"),
+    outputs=gr.Textbox(label="Summary"),
+    title="📝 Text Summarizer",
+    description="Summarize long articles using a pre-trained BART model from Hugging Face."
+)
+
+interface.launch()