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app.py

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+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+from io import StringIO 
+
+tokenizer = AutoTokenizer.from_pretrained("facebook/bart-large-cnn")
+model = AutoModelForSeq2SeqLM.from_pretrained("facebook/bart-large-cnn")
+
+import gradio as gr
+
+def predict():
+  pass
+
+description = "upload pdf file"
+title = "Text Summarization from a pdf."
+
+iface = gr.Interface(
+    
+    fn =predict,
+    inputs = [
+              gr.inputs.File()],
+              
+    outputs = [
+        gr.outputs.Carousel(['text']),
+            ],
+    description=description,
+    title = title, allow_screenshot=False)
+
+iface.launch(share = True,enable_queue=True, show_error =True)
+
+