Create app.py

app.py

@@ -0,0 +1,30 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load the summarization model (it will download automatically)
+summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
+
+# Define a function that takes text and returns a summary
+def summarize_text(text):
+    if len(text.strip()) == 0:
+        return "Please enter some text to summarize."
+    # Summarize!
+    summary = summarizer(text, max_length=130, min_length=30, do_sample=False)
+    return summary[0]['summary_text']
+
+# Create the Gradio interface
+demo = gr.Interface(
+    fn=summarize_text,
+    inputs=gr.Textbox(
+        placeholder="Enter text here to summarize...",
+        lines=8,
+        label="Input Text"
+    ),
+    outputs=gr.Textbox(label="Summary"),
+    title="📝 AI Text Summarizer",
+    description="Paste any article, email, or text and get a concise summary instantly!",
+    theme="soft"
+)
+
+# Launch the app
+demo.launch()