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Step 1: Generate the minimal requirements list (package names only)

This command exports a requirements.txt. The console may show some warnings---these are harmless.\ pipreqs scans your source code for import statements but doesn't actually load your environment.\ When it can't map a module name to a package name (e.g., yaml → PyYAML, sklearn → scikit-learn),\ it guesses the most likely package name and version from PyPI, hence the "verify manually" warning.
Don't worry---since we'll intersect this with pip freeze in the next step, these guesses won't affect the final file.

Step 2: Align with real versions from your current conda environment

Using python -m pip ensures you're using the correct pip executable.

Step 3: Quick validation (no actual installation)


Step 4: Lock the final version list

Overwrite requirements.txt with the final list:
Clean up temporary files:
 
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