Dependency issues while setup
There are two sets of dependencies that fail to resolve:
1. gradio==4.46.0 results in a “package not found” error — possibly due to the version being yanked. Removing the version pin resolves the issue.
2. There’s an unsatisfiable dependency conflict:
magma==0.0.1 requires tensorflow==2.15.1
tensorflow-graphics==2021.12.3 requires tensorflow>=2.2.0
dlimp==0.0.1 requires tensorflow==2.15.0
This leads to an impossible constraint on the tensorflow version.
Removing the strict version requirements for tensorflow and tensorflow-graphics allows the dependencies to resolve correctly.
Hmm, I think this is because of a PR. Will revert it.
On Wed, Apr 16, 2025 at 9:28 AM Aashish Ghimire @.***> wrote:
There are two sets of dependencies that fail to resolve:
- gradio==4.46.0 results in a “package not found” error — possibly due to the version being yanked. Removing the version pin resolves the issue.
- There’s an unsatisfiable dependency conflict:
magma==0.0.1 requires tensorflow==2.15.1 tensorflow-graphics==2021.12.3 requires tensorflow>=2.2.0 dlimp==0.0.1 requires tensorflow==2.15.0
This leads to an impossible constraint on the tensorflow version.
Removing the strict version requirements for tensorflow and tensorflow-graphics allows the dependencies to resolve correctly.
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Ran into the same issue when installing as well. I tried adjusting the version of gradio, but when I ran the demo script, it wasn't working.
@GitAashishG @sh1shir , done with the revert, can you try again?
seems to be wokring, however, i'm running into issues installing the packages for agents.
This is my error:
`Preparing metadata (setup.py) ... error error: subprocess-exited-with-error
× python setup.py egg_info did not run successfully.
│ exit code: 1
╰─> [8 lines of output]
Traceback (most recent call last):
File "
note: This error originates from a subprocess, and is likely not a problem with pip. error: metadata-generation-failed
× Encountered error while generating package metadata. ╰─> See above for output.
note: This is an issue with the package mentioned above, not pip. hint: See above for details.`