Update UI texts

app.py

@@ -13,7 +13,7 @@ def runInThread():
 
 def run():
     st.set_page_config(
-        page_title='Visual Question Answering - Bot',
+        page_title='Welcome to Visual Question Answering - Bot',
         page_icon=':robot:',
         layout='wide'
     )
@@ -21,23 +21,21 @@ def run():
     os.environ['TOKENIZERS_PARALLELISM'] = 'false'
 
     st.sidebar.title('VQA Bot')
+    st.sidebar.image('./images/logo.png')
     st.sidebar.write('''
         VQA Bot addresses the challenge of visual question answering with the chat and voice assistance.
-        Here, we merged Vision transformer and Language generator with the audio transformer.
-        We pretrained and finetuned our model on Language and Audio transformer to get the desired result.
+        Here, we merged ViLT(Vision-and-Language Transformer) model fine-tuned on VQAv2 into T5-small (Text-to-Text Transfer Transformer). 
+        We pretrained and finetuned our model on Language transformer to get the desired result.
         Please use the radio buttons below to navigate.
         ''')
 
-    selected_page = st.sidebar.radio('', ('VQA Chatbot', 'VQA Audiobot'))
+    selected_page = st.sidebar.radio('Go to', ('VQA Chatbot', 'VQA Audiobot'))
     if selected_page == 'VQA Chatbot':
         chatbot.show()
     elif selected_page == 'VQA Audiobot':
         audiobot.show()
 
-    st.sidebar.write(
-        'Madhuri Sakhare: [Hugging Face](https://huggingface.co/Madhuri)',
-        '[Github](https://github.com/msak1612/vqa_chatbot)'
-    )
+    st.caption("Created by Madhuri Sakhare - [Github](https://github.com/msak1612/vqa_chatbot) [Linkedin](https://www.linkedin.com/in/madhuri-sakhare/)")
 
     if 'thread' not in st.session_state:
         st.session_state.thread = threading.Thread(target=runInThread)

audiobot.py

@@ -1,3 +1,4 @@
+from turtle import width
 import streamlit as st
 from PIL import Image
 from bokeh.models.widgets import Button
@@ -9,7 +10,7 @@ import time
 def show():
     st.session_state.audio_answer = ''
 
-    st.title('Visual Question Answering - Audiobot')
+    st.title('Welcome to Visual Question Answering - Audiobot')
     st.markdown('''
             <h4 style='text-align: center; color: #B2BEB5;'>
             <i>Hi, I am a Visual Audiobot, capable of answering a sequence of questions about images.
@@ -29,7 +30,7 @@ def show():
             st.session_state.image = None
 
     with audio_col:
-        welcome_text='Hello and welcome, I have been trained  as  visual question answering model. You are welcome to look at any image and ask me any questions about it.  I will do my best to provide the most accurate information possible based on my expertise. Select an image of interest by pressing the browse files button.  Now use the Ask question button to ask a question. Please feel free to ask me any questions about this image. Now, to get my answer, press the Get answer button.'
+        welcome_text='Hello and Welcome. I have been trained  as  visual question answering model. You are welcome to look at any image and ask me any questions about it.  I will do my best to provide the most accurate information possible based on my expertise. Select an image of interest by pressing the browse files button.  Now use the Ask question button to ask a question. Please feel free to ask me any questions about this image. Now. to get my answer. press the Get answer button.'
         welcome_button = Button(label='About Me')
         welcome_button.js_on_event('button_click', CustomJS(code=f'''
             var u = new SpeechSynthesisUtterance();

chatbot.py

@@ -35,7 +35,7 @@ def predict(image, input):
 def show():
     init_chat_history()
 
-    st.title('Visual Question Answering - Chatbot')
+    st.title('Welcome to Visual Question Answering - Chatbot')
     st.markdown('''
             <h4 style='text-align: center; color: #B2BEB5;'>
             <i>Hi, I am a Visual Chatbot, capable of answering a sequence of questions about images.
@@ -45,7 +45,7 @@ def show():
 
     image_col, text_col = st.columns(2)
     with image_col:
-        upload_pic = st.file_uploader('Choose an image...', type=[
+        upload_pic = st.file_uploader('Select an image...', type=[
                                       'jpg', 'png', 'jpeg'], accept_multiple_files=False)
         if upload_pic is not None:
             image = Image.open(upload_pic)
@@ -55,7 +55,7 @@ def show():
             st.session_state.answer=[]
             st.session_state.input = ''
     with text_col:
-        input = st.text_input('', '', key='input')
+        input = st.text_input('Enter question: ', '', key='input')
         if input:
             predict(image, input)
         update_chat_messages()