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 generate_summary(text):
+    input_length = len(text.split())
+    max_length = min(200, input_length + 20)
+    min_length = min(50, max_length // 2)
+    
+    summary = summarizer(text, max_length=max_length, min_length=min_length, do_sample=True, temperature=0.7)
+    return summary[0]['summary_text']
+
+# Define the Gradio interface
+iface = gr.Interface(
+    fn=generate_summary,
+    inputs=gr.Textbox(lines=5, placeholder="Enter text here..."),
+    outputs=gr.Textbox(label="Summary"),
+    title="Text Summarization with Transformers",
+    description="Enter a text passage, and the model will generate a summarized version."
+)
+
+# Launch the GUI
+iface.launch()