mestreamlit / app.py
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# Copyright 2018-2022 Streamlit Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import streamlit as st
from streamlit.logger import get_logger
LOGGER = get_logger(__name__)
def run():
st.set_page_config(
page_title="Hello",
page_icon="πŸ‘‹",
)
st.write("# Welcome to Streamlit! πŸ‘‹")
st.sidebar.success("Select a demo above.")
st.markdown(
"""
Streamlit is an open-source app framework built specifically for
Machine Learning and Data Science projects.
**πŸ‘ˆ Select a demo from the sidebar** to see some examples
of what Streamlit can do!
### Want to learn more?
- Check out [streamlit.io](https://streamlit.io)
- Jump into our [documentation](https://docs.streamlit.io)
- Ask a question in our [community
forums](https://discuss.streamlit.io)
### See more complex demos
- Use a neural net to [analyze the Udacity Self-driving Car Image
Dataset](https://github.com/streamlit/demo-self-driving)
- Explore a [New York City rideshare dataset](https://github.com/streamlit/demo-uber-nyc-pickups)
"""
)
if __name__ == "__main__":
run()