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")