Create app.py

app.py

@@ -0,0 +1,25 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load the summarization model
+summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
+
+def summarize_text(text, min_length, max_length):
+    summary = summarizer(text, min_length=min_length, max_length=max_length, do_sample=False)
+    return summary[0]['summary_text']
+
+# Create the Gradio interface
+iface = gr.Interface(
+    fn=summarize_text,
+    inputs=[
+        gr.Textbox(label="Enter Text", placeholder="Paste your long text here...", lines=10),
+        gr.Slider(minimum=10, maximum=50, label="Minimum Summary Length (tokens)", value=10),
+        gr.Slider(minimum=50, maximum=150, label="Maximum Summary Length (tokens)", value=100)
+    ],
+    outputs=gr.Textbox(label="Summarized Text"),
+    title="Text Summarizer",
+    description="Enter a long piece of text to get a concise summary."
+)
+
+# Launch the interface
+iface.launch()