| 1. Create minimal environment to run the app in conda. E.g. 'conda create --name new_env' | |
| 2. Activate the environment 'conda activate new_env' | |
| 3. cd to this folder. Install packages from requirements.txt using 'pip install -r requirements.txt' | |
| NOTE: for ensuring that spaCy models are loaded into the program correctly in requirements.txt, follow this guide: https://spacy.io/usage/models#models-download | |
| 6. If necessary, create hook- files to tell pyinstaller to include specific packages in the exe build. Examples are provided for gradio and en_core_web_sm (a spaCy model). Put these in the build_deps\ subfolder | |
| 7. pip install pyinstaller | |
| 8. In command line, cd to the folder that contains app.py. | |
| 9.Run the following, assuming you want to make one single .exe file (This helped me: https://github.com/pyinstaller/pyinstaller/issues/8108): | |
| a) In command line: pyi-makespec --additional-hooks-dir="build_deps\\" --collect-data=gradio_client --collect-data=gradio --hidden-import pyarrow.vendored.version --onefile --name DataSearchApp_0.3 app.py | |
| b) Open the created spec file in Notepad. Add the following to the end of the Analysis section then save: | |
| a = Analysis( | |
| ... | |
| module_collection_mode={ | |
| 'gradio': 'py', # Collect gradio package as source .py files | |
| } | |
| ) | |
| c) Back in command line, run this: pyinstaller --clean --noconfirm DataSearchApp_0.3.spec | |
| 9. A 'dist' folder will be created with the executable inside along with all dependencies('dist\data_text_search'). | |
| 10. In 'dist\data_text_search' try double clicking on the .exe file. After a short delay, the command prompt should inform you about the IP address of the app that is now running. Copy the IP address. **Do not close this window!** | |
| 11. In an Internet browser, navigate to the indicated IP address. The app should now be running in your browser window. |