Create app.py

app.py

@@ -0,0 +1,50 @@
+import gradio as gr
+from transformers import pipeline
+
+def summarize_text(text, min_length, max_length):
+    summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
+    summary = summarizer(
+        text,
+        min_length=min_length,
+        max_length=max_length,
+        do_sample=False
+    )
+    return summary[0]['summary_text']
+
+with gr.Blocks() as demo:
+    gr.Markdown("## Adjustable Text Summarization")
+    with gr.Row():
+        input_text = gr.Textbox(
+            label="Enter your text here",
+            placeholder="Paste your text here...",
+            lines=5
+        )
+    with gr.Row():
+        min_length = gr.Slider(
+            label="Minimum Length (Tokens)",
+            minimum=10,
+            maximum=50,
+            value=10
+        )
+        max_length = gr.Slider(
+            label="Maximum Length (Tokens)",
+            minimum=50,
+            maximum=150,
+            value=100
+        )
+    with gr.Row():
+        summarize_button = gr.Button("Generate Summary", variant="primary")
+    with gr.Row():
+        output_text = gr.Textbox(
+            label="Generated Summary",
+            lines=4
+        )
+        
+    summarize_button.click(
+        fn=summarize_text,
+        inputs=[input_text, min_length, max_length],
+        outputs=output_text
+    )
+
+if __name__ == "__main__":
+    demo.launch()