Create app.py

app.py

@@ -0,0 +1,51 @@
+import gradio as gr
+from transformers import pipeline
+
+# Initialize the summarization pipeline with facebook/bart-large-cnn
+summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
+
+def summarize_text(text, min_len, max_len):
+    """
+    Summarize the input text using the specified min_len and max_len.
+    """
+    # Convert slider values to integers
+    min_len = int(min_len)
+    max_len = int(max_len)
+    
+    # Run the summarizer with the given lengths
+    summary = summarizer(text, min_length=min_len, max_length=max_len)
+    return summary[0]['summary_text']
+
+# Build the Gradio interface
+demo = gr.Interface(
+    fn=summarize_text,
+    inputs=[
+        gr.Textbox(
+            lines=10, 
+            placeholder="Enter a long piece of text here...",
+            label="Input Text"
+        ),
+        gr.Slider(
+            minimum=10, 
+            maximum=50, 
+            step=1, 
+            value=25, 
+            label="Minimum Summary Length (tokens)"
+        ),
+        gr.Slider(
+            minimum=50, 
+            maximum=150, 
+            step=1, 
+            value=100, 
+            label="Maximum Summary Length (tokens)"
+        )
+    ],
+    outputs=gr.Textbox(
+        label="Summary"
+    ),
+    title="BART Text Summarizer with Adjustable Lengths",
+    description="Enter a long piece of text, adjust the summary length settings using the sliders, and click 'Submit' to generate a summary."
+)
+
+if __name__ == "__main__":
+    demo.launch()