Added gradient

app.py

@@ -22,12 +22,14 @@ The ship was on early Wednesday ordered to return to the Kai Tak Cruise Terminal
 
 
 sample_texts = [[text_1 ], [text_2]]
-
+#FF7F50
 desc = """
-<p style='text-align: center; color: #FF7F50'> This is an abstractive text summarizer app using fine-tuned bart-large-cnn model. The abstractive approach involves rephrasing the complete document while capturing the complete meaning of the document. This type of summarization provides more human-like summary. Note: For faster summaries input smaller texts. Sample Text input is provided for you at the bottom! </p>
+<p style='text-align: center; color: linear-gradient(to top right,#ef4444, #fbbf24)'> This is an abstractive text summarizer app using fine-tuned bart-large-cnn model. The abstractive approach involves rephrasing the complete document while capturing the complete meaning of the document. This type of summarization provides more human-like summary. Note: For faster summaries input smaller texts. Sample Text input is provided for you at the bottom! </p>
 """
 
 
+
+
 model_name = "nikhedward/bart-large-cnn-finetuned-multi-news"
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForSeq2SeqLM.from_pretrained(model_name)