Requirements conflict

[achartt]

Having trouble getting the TTS RVC WebUI installed getting this error:

ERROR: Cannot install -r requirements.txt (line 1), -r requirements.txt (line 12), -r requirements.txt (line 3), -r requirements.txt (line 4), -r requirements.txt (line 7), -r requirements.txt (line 9) and numpy==1.22.0 because these package versions have conflicting dependencies.

The conflict is caused by: The user requested numpy==1.22.0 fairseq 0.12.2 depends on numpy; python_version >= "3.7" gradio 4.7.1 depends on numpy~=1.0 librosa 0.10.0 depends on numpy>=1.20.3 pyworld 0.3.4 depends on numpy scipy 1.11.4 depends on numpy=1.21.6 tts 0.21.1 depends on numpy>=1.24.3; python_version > "3.10"

To fix this you could try to:

1. loosen the range of package versions you've specified
2. remove package versions to allow pip attempt to solve the dependency conflict

ERROR: ResolutionImpossible: for help visit https://pip.pypa.io/en/latest/topics/dependency-resolution/#dealing-with-dependency-conflicts

[clementvp]

Can you try numpy==1.24.3 in requirement.txt. Works for me.
But i think you have Python >3.11, you absolutely need 3.10 max ( because of the setuptools drama) app.py will not run in 3.11+

[HyperUpscale]

Python 3.10 on Windows:

The conflict is caused by: The user requested numpy==1.24.3 fairseq 0.12.2 depends on numpy; python_version >= "3.7" gradio 4.7.1 depends on numpy~=1.0 librosa 0.10.0 depends on numpy>=1.20.3 pyworld 0.3.4 depends on numpy scipy 1.11.4 depends on numpy<1.28.0 and >=1.21.6 tts 0.21.1 depends on numpy==1.22.0; python_version <= "3.10"

[clementvp]

In python 3.10 ( conda env) I managed to install dependencies with:

faiss_cpu==1.7.4
gradio==4.7.1
librosa==0.10.0
numpy==1.22.0
praat-parselmouth
pyworld==0.3.4
Requests==2.31.0
scipy==1.11.4
torch==2.1.0
torchcrepe==0.0.22
TTS==0.21.1

In requirements.txt.

[Vali-98]

I haven't touched this project in a while, but if I recall, this was done in python 3.10 and for whatever reason worked in a venv.

If I have time I'll investigate this.

[achartt]

It was python 3.11 I had 3.10 installed but in the wrong order in my environment PATH.

[TomiTom1234]

I also face this issue, the exact same error. How can I solve this, please?

[TomiTom1234]

This is my error, exact same as the OP: `INFO: pip is looking at multiple versions of tts to determine which version is compatible with other requirements. This could take a while. ERROR: Cannot install -r requirements.txt (line 1), -r requirements.txt (line 12), -r requirements.txt (line 3), -r requirements.txt (line 4), -r requirements.txt (line 7), -r requirements.txt (line 9) and numpy==1.22.0 because these package versions have conflicting dependencies.

The conflict is caused by: The user requested numpy==1.22.0 fairseq 0.12.2 depends on numpy; python_version >= "3.7" gradio 4.7.1 depends on numpy~=1.0 librosa 0.10.0 depends on numpy>=1.20.3 pyworld 0.3.4 depends on numpy scipy 1.11.4 depends on numpy<1.28.0 and >=1.21.6 tts 0.21.1 depends on numpy>=1.24.3; python_version > "3.10"

To fix this you could try to:

1. loosen the range of package versions you've specified
2. remove package versions to allow pip attempt to solve the dependency conflict

ERROR: ResolutionImpossible: for help visit https://pip.pypa.io/en/latest/topics/dependency-resolution/#dealing-with-dependency-conflicts` Any help please how to solve it?

[steffenr]

I also run into the same issue. You should create a custom python environment for installing.

The easiest way is conda.

Just place a environment.yaml into the project folder with the following content:

name: xtts
channels:
  - defaults
dependencies:
  - python=3.10
  - pip=23.0
  - packaging

And run the following commands

• conda env create -f environment.yaml
• conda activate xtts
• pip install -r requirements.txt

[TomiTom1234]

I also run into the same issue. You should create a custom python environment for installing.

The easiest way is conda.

Just place a environment.yaml into the project folder with the following content:

name: xtts
channels:
  - defaults
dependencies:
  - python=3.10
  - pip=23.0
  - packaging

And run the following commands

• conda env create -f environment.yaml
• conda activate xtts
• pip install -r requirements.txt

I am a bit new with this. Do you mean I just create a new text file then paste the following in it:

name: xtts channels:

• defaults dependencies:
• python=3.10
• pip=23.0
• packaging

after that save the file under the name "environment.yaml" ? After that move it to afolder called "Project" or in the main folder of XTTS-RVC-UI ?

Then run the codes you mentioned through a command prompt (cmd) or do you mean "Anaconda" prompt?

Thank you!

[MrRaja23]

I also run into the same issue. You should create a custom python environment for installing.

The easiest way is conda.

Just place a environment.yaml into the project folder with the following content:

name: xtts
channels:
  - defaults
dependencies:
  - python=3.10
  - pip=23.0
  - packaging

And run the following commands

• conda env create -f environment.yaml
• conda activate xtts
• pip install -r requirements.txt

I am running into more issues installing Conda and it not working at all:

>>>>>>>>>>>>>>>>>>>>>> ERROR REPORT <<<<<<<<<<<<<<<<<<<<<<

Traceback (most recent call last):
  File "C:\ProgramData\miniconda3\Lib\site-packages\conda\exception_handler.py", line 17, in __call__
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "C:\ProgramData\miniconda3\Lib\site-packages\conda\cli\main.py", line 83, in main_subshell
    exit_code = do_call(args, parser)
                ^^^^^^^^^^^^^^^^^^^^^
  File "C:\ProgramData\miniconda3\Lib\site-packages\conda\cli\conda_argparse.py", line 199, in do_call
    result = getattr(module, func_name)(args, parser)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\ProgramData\miniconda3\Lib\site-packages\conda\notices\core.py", line 131, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "C:\ProgramData\miniconda3\Lib\site-packages\conda\cli\main_env_create.py", line 112, in execute
    spec = specs.detect(
           ^^^^^^^^^^^^^
  File "C:\ProgramData\miniconda3\Lib\site-packages\conda\env\specs\__init__.py", line 71, in detect
    if spec.can_handle():
       ^^^^^^^^^^^^^^^^^
  File "C:\ProgramData\miniconda3\Lib\site-packages\conda\env\specs\yaml_file.py", line 18, in can_handle
    self._environment = env.from_file(self.filename)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\ProgramData\miniconda3\Lib\site-packages\conda\env\env.py", line 172, in from_file
    return from_yaml(yamlstr, filename=filename)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\ProgramData\miniconda3\Lib\site-packages\conda\env\env.py", line 142, in from_yaml
    data = validate_keys(data, kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\ProgramData\miniconda3\Lib\site-packages\conda\env\env.py", line 30, in validate_keys
    new_data = data.copy() if data else {}
               ^^^^^^^^^
AttributeError: 'str' object has no attribute 'copy'

[cryptotester]

In python 3.10 ( conda env) I managed to install dependencies with:

faiss_cpu==1.7.4
gradio==4.7.1
librosa==0.10.0
numpy==1.22.0
praat-parselmouth
pyworld==0.3.4
Requests==2.31.0
scipy==1.11.4
torch==2.1.0
torchcrepe==0.0.22
TTS==0.21.1

In requirements.txt.

Thank you @clementvp using this list of requirements, with python 3.10 (latest: 3.10.14 now) worked fine for me (after trying the original requirements).

[jbusodev]

Similiar issue for me related to pyworld and fairseq in original requirements.txt : "Cannot build wheel for pyworld".

[SiddhantStark]

Getting this error:

ERROR: Cannot install -r requirements.txt (line 1) and fairseq because these package versions have conflicting dependencies.

The conflict is caused by: fairseq 0.12.2 depends on omegaconf<2.1 hydra-core 1.0.7 depends on omegaconf<2.1 and >=2.0.5

To fix this you could try to:

1. loosen the range of package versions you've specified
2. remove package versions to allow pip to attempt to solve the dependency conflict

ERROR: ResolutionImpossible: for help visit https://pip.pypa.io/en/latest/topics/dependency-resolution/#dealing-with-dependency-conflicts