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app.py

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+import gradio as gr
+from transformers import pipeline
+import torch
+
+torch.set_default_dtype(torch.float32)
+
+summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
+print("Model Loaded")
+
+def summarize(text):
+    return (summarizer(text, max_length=300, min_length=200, do_sample=False, num_workers=4))
+
+iface = gr.Interface(fn=summarize, inputs="text", outputs="text")
+iface.launch(debug=True)