Run streamlit app from a Google Colab Notebook in 7 steps
Step 1: Install streamlit framework in colab
!pip install -q streamlit
Step 2: Create a streamlit app example
%%writefile app.py
import streamlit as st
import pandas as pd
import numpy as np
st.title('Gráficos com streamlit e colab')
DATE_COLUMN = 'date/time'
DATA_URL = ('https://s3-us-west-2.amazonaws.com/'
'streamlit-demo-data/uber-raw-data-sep14.csv.gz')
def load_data(nrows):
data = pd.read_csv(DATA_URL, nrows=nrows)
lowercase = lambda x: str(x).lower()
data.rename(lowercase, axis='columns', inplace=True)
data[DATE_COLUMN] = pd.to_datetime(data[DATE_COLUMN])
return data
data_load_state = st.text('Loading data...')
data = load_data(100)
data_load_state.text('Loading data...done!')
st.write(data)
chart_data = pd.DataFrame(
np.random.randn(20, 3),
columns=["a", "b", "c"])
st.bar_chart(chart_data)
Step 3: verify and list files created
! ls -la # list the files
! cat app.py # visualize python file content
Step 4: Install localtunnel
!npm install localtunnel
Step 5: Run streamlit in background
!streamlit run app.py &>/content/logs.txt &
Step 6: Expose the port 8501
!npx localtunnel --port 8501
Step 7: Enjoy your dahsword in streamlit
a link will be generated, access the link https:// ....loca.lt
a log.txt file will be created to save possible errors.
Informações:
- Autor：Alex Yucra
- Link：https://alexyucra.github.io/blog/2023/04/27/run-streamlit-app-from-a-google-colab/
- Declaração de direitos autorais: atribuição gratuita de reimpressão-não-comercial-não-derivada-manter（Licença Creative Commons 3.0）