Create app.py

app.py

@@ -0,0 +1,23 @@
+import gradio as gr
+import transformers
+from transformers import BartTokenizer, BartForConditionalGeneration
+
+model_name = 'facebook/bart-large-cnn'
+tokenizer = BartTokenizer.from_pretrained(model_name)
+model = BartForConditionalGeneration.from_pretrained(model_name)
+
+def summarize(inp):
+    inp = inp.replace('\n','')
+    inp = tokenizer.encode(inp, return_tensors='pt', max_length=1024)
+    summary_ids = model.generate(inp, num_beams=4, max_length=150, early_stopping=True)
+    summary = tokenizer.decode(summary_ids[0], skip_special_tokens=True)
+    return summary
+
+app = gr.Interface(
+    fn=summarize, 
+    inputs=gr.Textbox(lines=7, label="Input Text"), 
+    outputs="text",  
+    css="footer {visibility: hidden}",
+    article = """<p style='text-align: center;'>Hello, thanks for coming, visit AI tools: <a href="https://www.genelify.com" target="_blank">Genelify</a>, visit Social Media tools: <a href="https://www.tubtic.com" target="_blank">Tubtic</a></p>"""
+)
+app.launch(inline=False, show_api=False)