Update app.py

app.py

@@ -1,8 +1,5 @@
 # -*- coding: utf-8 -*-
 
-#pip install transformers -q
-
-#pip install gradio -q
 
 from transformers import VisionEncoderDecoderModel, ViTImageProcessor, AutoTokenizer
 import torch
@@ -33,7 +30,7 @@ outputs = [
     gr.outputs.Textbox(label = 'Caption')
 ]
 
-title = "Image Captioning with Visual Transformer using nlpconnect"
+title = "Visual Transformer using nlpconnect for Image to Text generation"
 description = "ViT and GPT2 are used to generate Image Caption for the uploaded image. COCO Dataset was used for training."
 article = " <a href='https://huggingface.co/nlpconnect/vit-gpt2-image-captioning'>Model Repo on Hugging Face Model Hub</a>"
 examples = [