Upload app.py

app.py

@@ -0,0 +1,37 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load summarization pipeline
+summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
+
+def summarize_text(text, max_length=130, min_length=30):
+    """
+    Summarizes the input text.
+    """
+    if not text.strip():
+        return "Please enter some text to summarize."
+
+    summary = summarizer(
+        text,
+        max_length=max_length,
+        min_length=min_length,
+        do_sample=False
+    )[0]["summary_text"]
+
+    return summary
+
+# Gradio Interface
+demo = gr.Interface(
+    fn=summarize_text,
+    inputs=[
+        gr.Textbox(lines=10, placeholder="Enter text here...", label="Input Text"),
+        gr.Slider(50, 200, value=130, step=10, label="Max Summary Length"),
+        gr.Slider(20, 100, value=30, step=5, label="Min Summary Length")
+    ],
+    outputs=gr.Textbox(label="Summary"),
+    title="Text Summarization App",
+    description="Enter a long piece of text and get a concise summary using BART."
+)
+
+if __name__ == "__main__":
+    demo.launch()