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import streamlit as st | |
import pandas as pd | |
def display_csv(file_path): | |
# Load the CSV file using pandas | |
df = pd.read_csv(file_path) | |
# Display the dataframe as a table | |
st.write(df, height=500, width=1000, unsafe_allow_html=True) | |
def main(): | |
# Hardcoded file path | |
file_path = "merged-averaged-model_timings_2.1.0_12.1_NVIDIA_A10G_False.csv" | |
# Add a text caption | |
st.header("CSV Viewer") | |
st.write("This app displays the contents of a CSV file.") | |
# Call the display_csv function with the hardcoded file path | |
display_csv(file_path) | |
# Custom CSS to make the app full screen | |
st.markdown(""" | |
<style> | |
.reportview-container { | |
width: 100%; | |
height: 100%; | |
} | |
</style> | |
""", unsafe_allow_html=True) | |
if __name__ == "__main__": | |
main() | |