new model

app.py

@@ -30,7 +30,7 @@ This is an abstractive text summarizer app using fine-tuned bart-large-cnn model
 
 
 
-model_name = "nikhedward/bart-large-cnn-finetuned-multi-news"
+model_name = "nikhedward/bart-large-cnn-finetuned-multi-news1"
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
 
@@ -42,7 +42,7 @@ def summarize(inp):
     return summary
 
 interface = gr.Interface(fn=summarize, inputs=gr.inputs.Textbox(lines=10, label="Input Text"), description = desc, theme = "peach", 
-examples = sample_texts, title = title, outputs="text")
+examples = sample_texts, title = title, outputs="text", css=".footer{display:none !important}")
 
 interface.launch()