Create app.py

app.py

@@ -0,0 +1,27 @@
+import gradio as gr
+from transformers import pipeline
+import torch
+# Load the summarization model
+summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
+
+def summarize_text(input_text, min_length, max_length):
+    # Summarize the input text
+    summary = summarizer(input_text, min_length=min_length, max_length=max_length, do_sample=False)
+    return summary[0]['summary_text']
+
+# Create the Gradio interface
+interface = gr.Interface(
+    fn=summarize_text,
+    inputs=[
+        gr.Textbox(label="Enter Text", placeholder="Type or paste your long text here...", lines=10),
+        gr.Slider(label="Minimum Length", minimum=10, maximum=50, step=1, value=10),
+        gr.Slider(label="Maximum Length", minimum=50, maximum=150, step=1, value=100),
+    ],
+    outputs=gr.Textbox(label="Summary"),
+    title="Text Summarization App",
+    description="Enter a long piece of text, set the summary length, and click the button to get a summarized version."
+)
+
+# Launch the app
+if __name__ == "__main__":
+    interface.launch()