added streamlit file

.gitignore

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+.venv

Dockerfile

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+FROM python:3.9
+
+RUN useradd -m -u 1000 user
+USER user
+ENV PATH="/home/user/.local/bin:$PATH"
+
+WORKDIR /code
+
+COPY --chown=user ./requirements.txt requirements.txt
+RUN pip install --no-cache-dir --upgrade -r requirements.txt
+
+COPY --chown=user . /app
+CMD ["streamlit", "run", "app/app.py", "--server.address", "0.0.0.0", "--server.port", "8501"]

app/app.py

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+import os
+import sys
+src_directory = os.path.abspath(os.path.join(os.path.dirname(__file__), "../..", "frontend"))
+sys.path.append(src_directory)
+import streamlit as st
+import streamlit_functions
+
+st.title("World Population Data")
+csv_file = st.file_uploader("Choose a CSV file", type=['csv'])
+
+if csv_file:
+    choosen_data = streamlit_functions.choose_data_view(st)
+    if choosen_data == "Show All Continents":
+        opt = choosen_data.replace(" ","")
+        streamlit_functions.display_contents(opt, st)
+    if choosen_data == "Show All Countries":
+        opt = choosen_data.replace(" ","")
+        streamlit_functions.display_contents(opt, st)
+    if choosen_data == "Show Continent with Highest Population":
+        opt = choosen_data.replace(" ","")
+        streamlit_functions.display_contents(opt, st)
+    if choosen_data == "Show Continent with Lowest Population":
+        opt = choosen_data.replace(" ","")
+        streamlit_functions.display_contents(opt, st)
+    if choosen_data == "Show Country with Highest Population":
+        opt = choosen_data.replace(" ","")
+        streamlit_functions.display_contents(opt, st)
+    if choosen_data == "Show Country with Lowest Population":
+        opt = choosen_data.replace(" ","")
+        streamlit_functions.display_contents(opt, st)
+    
+
+
+
+
+
+
+
+
+    # selected_stat = st.selectbox("Select the stat",stat_list)
+    # list_of_selected_cont = home_page.list_country_by_continent(df,selected_continent)
+    # selected_key = st.selectbox("Select the key's to fetch data:",df.keys())
+    # max_population = home_page.get_continent_with_max_pop(df)
+    # st.write(f"Countries data in {selected_continent}:", list_of_selected_cont)
+    # st.write(f"{selected_continent}'s with max population is :",max_population)
+

app/requests_app.py

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+import requests
+
+def get_api(end_point : str = None):
+    r = requests.get(f"https://velatest-world-data-insights-api.hf.space/{end_point}")
+    return r.json()

app/streamlit_functions.py

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+import os
+import sys
+src_directory = os.path.abspath(os.path.join(os.path.dirname(__file__), "../..", "main"))
+sys.path.append(src_directory)
+import requests_app
+
+def choose_data_view(st_interface):
+    data_view_options  = [
+    "Select an option",
+    "Show All Continents",
+    "Show All Countries",
+    "Show Continent with Highest Population",
+    "Show Continent with Lowest Population",
+    "Show Country with Highest Population",
+    "Show Country with Lowest Population"
+    ]
+    selected_option = st_interface.selectbox("Select Data to Display", data_view_options)
+    return selected_option
+
+def display_contents(option, streamlit):
+    try:
+        cont = requests_app.get_api(option)
+        continents = streamlit.table(cont)
+        return continents
+    except Exception as e:
+        streamlit.error(f"An error occurred while processing the CSV: {e}")
+
+# def display_countries(option, streamlit):
+#     cont = requests_app.get_api(option)
+#     return streamlit.table(cont)
+
+# def display_continent_with_highest_population(option, streamlit):
+#     cont = requests_app.get_api(option)
+#     return streamlit.table(cont)
+
+# def display_country_by_continents(selected_continent,streamlit):
+#     if selected_continent is not "Choose a continent to display countries":
+#             countries_list = requests_app.get_api(selected_continent)
+#             streamlit.table(countries_list)
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+    # else:
+    #         streamlit.warning("Please select a valid continent.")
+        #     selected_continent = streamlit.selectbox(
+    #     "Select a continent",["Choose a continent to display countries"] + list(df['Continent'].unique()),)
+
+
+
+          

requirements.txt

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+streamlit
+requests