Update app.py

app.py

@@ -1,20 +1,13 @@
 import streamlit as st
-from datetime import time, datetime
-import time as t
-from time import time as now
 import pandas as pd
-import pandas_profiling
-import numpy as np
 from streamlit_pandas_profiling import st_profile_report
-from io import StringIO
-import requests
 from pathlib import Path
-from streamlit_elements import elements, dashboard, mui, media
+from transformers import MBartForConditionalGeneration, MBart50TokenizerFast
 
 st.set_page_config(page_title="Francesco Daimon Fernicola", page_icon=":milky_way:", layout="wide")
 
 with st.container():
-    st.subheader("Hello, and welcome to my official webpage! I am Daimon :wink:")
+    st.subheader("Hello, and welcome to my official webpage! I am Daimon :alien:")
     st.title("PhD Candidate in Machine Translation / Translator / Mountain enthusiast")
     st.write("I am passionate about finding new ways to effectively use and understand Machine Translation and effectively evaluating its quality.")
     st.write("""
@@ -24,318 +17,24 @@ with st.container():
     [Twitter](https://twitter.com/FrancescoDaimon)
     """)
 
-st.header('st.button')
-
-if st.button('Say hello'):
-    st.write('Why hello there')
-else:
-    st.write('Goodbye')
-
-st.header('st.slider')
-st.subheader('Slider')
-age = st.slider('How old are you?', 0, 120, 25)
-st.write(f"I'm {age} years old")
-
-
-st.subheader('Range Slider')
-
-values = st.slider(
-    'Select a range of values',
-    0.0, 100.0, (25.0, 75.0)
-)
-st.write(f"Values: {values}")
-
-
-st.subheader('Range time slider')
-
-appointment = st.slider(
-    "Schedule your appointment:",
-    value=(time(11,30), time(12,45)),
-    format="hh:mm"
-)
-st.write(f"You're scheduled for: {appointment}")
-
-
-st.subheader('Datetime slider')
-
-start_time = st.slider(
-    "When do you start?",
-    value=datetime(2023, 1, 1, 9, 30),
-    format="DD/MM/YY - hh:mm"
-)
-
-st.write(f"Start time: {start_time}")
-
-
-
-
-st.header('Line Chart')
-
-
-
-chart_data = pd.DataFrame(
-    np.random.randn(20, 3),
-    columns=['a', 'b', 'c']
-)
-
-st.line_chart(chart_data)
-
-
-
-with st.container():
-    option = st.selectbox(
-        'What is your favorite color?',
-        ('Blue', 'Red', 'Green', 'More')
-        )
-
-    if not option == 'More':
-        st.write(f'Your favorite color is {option}')
-    else:
-        new_option = st.multiselect(
-            'What are your favorite colors',
-            ['Green', 'Yellow', 'Red', 'Blue'],
-            ['Yellow', 'Red']
-        )
-        st.write(f'Your favorite colors are {", ".join(new_option)}')
-
-st.header('st.checkbox')
-
-st.write('What would you like to order?')
-
-icecream = st.checkbox('Ice cream')
-coffee = st.checkbox('Coffee')
-cola = st.checkbox('Cola')
-
-if icecream:
-    st.write("Great! Heres some more :icecream:")
-
-if coffee:
-    st.write("Okay, here's some coffee :coffee:")
-
-if cola:
-    st.write("Here you go 🥤")
-
-
-#st.header('streamlig_pandas_profiling')
-
-#df = pd.read_csv('https://raw.githubusercontent.com/dataprofessor/data/master/penguins_cleaned.csv')
-
-#pr = df.profile_report()
-#st_profile_report(pr)
-
-
-#st.write("Contents of the '.streamlit/config.toml' file of this app")
-
-st.code("""
-[theme]
-primaryColor="#F39C12"
-backgroundColor="#2E86C1"
-secondaryBackgroundColor="#AED6F1"
-textColor="#FFFFFF"
-font="monospace"
-""")
-
-number = st.sidebar.slider('Select a number:', 0, 10, 5)
-st.write(f'Selected number from slider widget is: {number}')
-
-#st.header("This is taken from the .streamlit/secrets.toml")
-
-#st.write(f"Secret message: {st.secrets['message']}")
-#st.header("Remember to add the file to the .gitignore!")
-
-
-
-st.title('st.file_uploader')
+st.title('Upload your data')
 
 st.subheader('Input TSV/CSV')
 uploaded_file = st.file_uploader("Choose a file")
-
-if uploaded_file is not None:
-    if uploaded_file.name.endswith('.tsv'):
-        data = pd.read_csv(uploaded_file, sep="\t")
+with st.spinner("Loading..."):
+    if uploaded_file is not None:
+        if uploaded_file.name.endswith('.tsv'):
+            data = pd.read_csv(uploaded_file, sep="\t")
+        else:
+            data = pd.read_csv(uploaded_file)
+    
+        st.subheader("DataFrame")
+        st.write(data)
+        st.write(data.describe())
+    
     else:
-        data = pd.read_csv(uploaded_file)
-
-    st.subheader("DataFrame")
-    st.write(data)
-    st.write(data.describe())
+        st.info("☝️ Upload a TSV/CSV file")
     
-else:
-    st.info("☝️ Upload a TSV/CSV file")
-
-
-with st.expander('About this app'):
-    st.write('This app shows the various options you can use (and should use) to customize your page')
-    st.image('https://imgs.xkcd.com/comics/app.png', width=250)
-    st.write('Below you will also display the progress of the calculation via "st.progress()"')
-
-
-
-st.sidebar.header('Input')
-user_name = st.sidebar.text_input('What is your name?')
-user_emoji = st.sidebar.selectbox('Choose an emoji', ['', '😄', '😆', '😊', '😍', '😴', '😕', '😱'])
-user_food = st.sidebar.selectbox('What is your favorite food?', ['', 'Tom Yum Kung', 'Burrito', 'Lasagna', 'Hamburger', 'Pizza'])
-
-st.header('Output')
-
-col1, col2, col3 = st.columns(3)
-
-with col1:
-  if user_name != '':
-    st.write(f'👋 Hello {user_name}!')
-  else:
-    st.write('👈  Please enter your **name**!')
-
-with col2:
-  if user_emoji != '':
-    st.write(f'{user_emoji} is your favorite **emoji**!')
-  else:
-    st.write('👈 Please choose an **emoji**!')
-
-with col3:
-  if user_food != '':
-    st.write(f'🍴 **{user_food}** is your favorite **food**!')
-  else:
-    st.write('👈 Please choose your favorite **food**!')
-
-
-#my_bar = st.progress(0)
-
-#for percent_complete in range(100):
-#    t.sleep(0.05)
-#    my_bar.progress(percent_complete + 1)
-
-st.metric(label="F1", 
-    value="81.1",
-    delta="-0.1")
-
-
-st.title('st.cache')
-
-a0 = now()
-st.subheader('Using st.cache')
-
-@st.cache(suppress_st_warning=True)
-def load_data_a():
-    dataframe = pd.DataFrame(
-        np.random.rand(2000000, 5),
-        columns=['a', 'b', 'c', 'd', 'e']
-    )
-    return dataframe
-
-st.write(load_data_a())
-a1 = now()
-st.info(a1-a0)
-
-b0 = now()
-
-
-st.subheader('Not using st.cache')
-
-def load_data_b():
-  dataframe = pd.DataFrame(
-    np.random.rand(2000000, 5),
-    columns=['a', 'b', 'c', 'd', 'e']
-  )
-  return dataframe
-
-st.write(load_data_b())
-b1 = now()
-st.info(b1-b0)
-
-st.title('st.session_state')
-
-def lbs_to_kg():
-    st.session_state.kg = st.session_state.lbs/2.2046
-
-def kg_to_lbs():
-    st.session_state.lbs = st.session_state.kg*2.2046
-
-st.header('Input kg/lbs')
-col1, spacer, col2 = st.columns([2, 1, 2])
-
-with col1:
-    punds = st.number_input("Pounds:", key = "lbs", on_change = lbs_to_kg)
-
-with col2:
-    kilogram = st.number_input("Kilograms:", key = "kg", on_change= kg_to_lbs)
-
-st.header('Output')
-st.write("st.session_state object: ", st.session_state)
-
-
-
-st.title('🏀 Bored API app')
-
-st.sidebar.header("Input Boredom")
-selected_type = st.sidebar.selectbox('Select an activity type', ["education", "recreational", "social", "diy", "charity", "cooking", "relaxation", "music", "busywork"])
-
-suggested_activity_url = f'http://www.boredapi.com/api/activity?type={selected_type}'
-json_response = requests.get(suggested_activity_url)
-suggested_activity = json_response.json()
-
-
-c1, c2 = st.columns(2)
-
-with c1:
-    with st.expander('About this app'):
-        st.write('Bored stiff? The **BORED API APP** gives suggestions on activities that you can do when bored. This is powered by Bored API.')
-with c2:
-    with st.expander('JSON data'):
-        st.write(suggested_activity)
-
-st.header('Suggested activity')
-st.info(suggested_activity['activity'])
-
-col1, col2, col3 = st.columns(3)
-
-with col1:
-    st.metric(label="Number of Participants", value=suggested_activity['participants'], delta='')
-with col2:
-    st.metric(label="Type of Activity", value=suggested_activity['type'].capitalize(), delta='')
-with col3:
-    st.metric(label='Price', value=suggested_activity['price'], delta='')
-
-
-
-media_url = st.text_input("Media URL", value="https://www.youtube.com/watch?v=9EcjWd-O4jI&ab_channel=TechnotronicVEVO")
-
-layout = [
-    # Media item is positioned in coordinates x=0 and y=3, and takes 6/12 columns and has a height of 4.
-    dashboard.Item("media", 0, 2, 12, 4),
-]
-
-with elements("demo"):
-
-    # Create a new dashboard with the layout specified above.
-    #
-    # draggableHandle is a CSS query selector to define the draggable part of each dashboard item.
-    # Here, elements with a 'draggable' class name will be draggable.
-    #
-    # For more information on available parameters for dashboard grid:
-    # https://github.com/react-grid-layout/react-grid-layout#grid-layout-props
-    # https://github.com/react-grid-layout/react-grid-layout#responsive-grid-layout-props
-
-    with dashboard.Grid(layout, draggableHandle=".draggable"):
-        with mui.Card(key="media", sx={"display": "flex", "flexDirection": "column"}):
-            mui.CardHeader(title="Media Player", className="draggable")
-            with mui.CardContent(sx={"flex": 1, "minHeight": 0}):
-
-                # This element is powered by ReactPlayer, it supports many more players other
-                # than YouTube. You can check it out there: https://github.com/cookpete/react-player#props
-
-                media.Player(url=media_url, width="100%", height="100%", controls=True)
-
-
-def local_css(file_name):
-    with open(file_name) as f:
-        st.markdown(f"<style>{f.read()}</style>", unsafe_allow_html=True)
-
-local_css("style/style.css")
-
-
-from transformers import MBartForConditionalGeneration, MBart50TokenizerFast
-
 
 st.subheader("MBART-50 Translator")
 
@@ -347,7 +46,6 @@ tokenizer = MBart50TokenizerFast.from_pretrained("facebook/mbart-large-50-many-t
 
 def get_translation(src_code, trg_code, src):
 
-    # translate Hindi to French
     tokenizer.src_lang = src_code
     encoded = tokenizer(src, return_tensors="pt")
     generated_tokens = model.generate(
@@ -366,7 +64,6 @@ with st.form("my_form"):
         src_lang = st.selectbox(
         'Source language',
         ('en_XX', 'fr_XX', 'de_DE', 'it_IT', 'es_XX'),
-
         )
     with right_c:
         trg_lang = st.selectbox(