def main_hello(ctx):
"""Executes when run `wms hello`."""
import sys
filename = _demo.__file__
sys.argv = ["streamlit", "run", filename]
sys.exit(_st_cli.main())
def run(
ctx, app="app_menu", lang=None, debug=False, keep_cache=False, clear_cache_all=False
):
"""
Run the selected app.
"""
from streamlit.cli import main
if not keep_cache:
clear_cache(ctx, clear_cache_all)
sys.argv = ["streamlit", "run", f"pydemic_ui/apps/{app}.py"]
os.environ.update(
{
"STREAMLIT_BROWSER_GATHER_USAGE_STATS": "false",
"STREAMLIT_SERVER_FILE_WATCHER_TYPE": "none",
"DEBUG": str(debug).lower(),
"LANG": lang or os.environ.get("LANG", "C"),
}
)
main()
def main():
""" Run different modules based on the appropriate command line flags that are selected by the user."""
# create object to access actual arguments
clArgs = CommandLineParse()
# run file clean module if annotate is selected and see is not
if clArgs.args.annotate is True and clArgs.args.see is False:
fileClean = fc.SeriesData(
clArgs.args.output,
clArgs.args.input,
clArgs.args.types,
)
fileClean.myGeneCall()
fileClean.combineDataFrame()
fileClean.dataframeOutputter()
# run existing data if both annotate and see are false
elif clArgs.args.annotate is False and clArgs.args.see is False:
fc.ExistingData(clArgs.args.input)
# run visualization module if see is selected and annotate is not
elif clArgs.args.see is True and clArgs.args.annotate is False:
sys.argv = ["streamlit", "run", "graphVisualization.py"]
sys.exit(stcli.main())
def webapp():
'''serves a web app to plot flight data'''
sys.argv = ["streamlit", "run", "app.py"]
sys.exit(stcli.main())
import sys
import streamlit.cli as stcli
import os
target_path = os.path.join(os.path.dirname(__file__), 'app.py')
if __name__ == '__main__':
sys.argv = ["streamlit", "run", target_path, "--global.developmentMode=false"]
sys.exit(stcli.main())
def run_streamlit():
dirname = Path(os.path.dirname(__file__)).parent
filename = os.path.join(dirname, 'app.py')
sys.argv = ["streamlit", "run", filename]
sys.exit(stcli.main())
# Copyright 2018-2021 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 sys
from streamlit.cli import main
if __name__ == "__main__":
# So that the Streamlit server sees the same command line string
# whether streamlit is called directly or via `python -m streamlit`.
sys.argv[0] = "streamlit"
main()
def main():
migrations.run_migrations()
sys.argv = ["streamlit", "run", __file__]
sys.exit(st_cli.main())
import matplotlib.pyplot as plt
import pickle
from PIL import Image
from pyngrok import ngrok
st.title("Image Classifier using Machine Learning")
st.text('Upload the Image')
model = pickle.load(open('image_model.p', 'rb'))
uploaded_file = st.file_uploader("Choose an image...", type='jpg')
if uploaded_file is not None:
img = Image.open(uploaded_file)
st.image(img, caption='Uploaded image')
if st.button('Predict'):
categories = ["alien", "predator"]
st.write('Result....')
flat_image = []
image = np.array(img)
image_resized = resize(image, (150, 150, 3))
flat_image.append(image_resized.flatten())
flat_image = np.array(flat_image)
plt.imshow(image_resized)
output = model.predict(flat_image)
output = categories[output[0]]
st.title(f'Predicted output: {output}')
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())
def main_hello(ctx):
import sys
filename = demo.__file__
sys.argv = ["streamlit", "run", filename]
sys.exit(stcli.main())
import streamlit.cli as cli
if __name__ == '__main__':
cli.main()
def streamlit():
sys.argv = ["streamlit", "run", "apps/app.py"]
sys.exit(stcli.main())
# 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 sys
from streamlit.cli import main
if __name__ == "__main__":
# Set prog_name so that the Streamlit server sees the same command line
# string whether streamlit is called directly or via `python -m streamlit`.
main(prog_name="streamlit")
