monish updates

app.py

@@ -9,8 +9,8 @@ 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_ids = model.generate(inp, num_beams=4, max_length=1500, early_stopping=True)
     summary = tokenizer.decode(summary_ids[0], skip_special_tokens=True)
     return summary
 
-gr.Interface(fn=summarize, inputs=gr.inputs.Textbox(lines=7, label="Input Text"), outputs="text").launch(inline=False)
+gr.Interface(fn=summarize, inputs=gr.inputs.Textbox(lines=7, label="Enter Your Scene"), outputs="text").launch(inline=False)