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

[coffeecodeconverter]

can someone just release a portable version of this?
or anyone who's got it working (by some MIRACLE) please just make that a portable environment and upload it?
because the amount of time lost troubleshooting this installation is off the chain.
95 installs, 1 thing conflicts. you correct the conflict, something else breaks, and round and round you go.

either that, or explicitly state a full, exhaustive list of everything used, every bit of the config, every version.

[coffeecodeconverter]

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+

how does numpy 1.24.3 work for you, when "tts 0.21.1 depends on numpy==1.22.0" ?
this conflicts for me

[N3M3RU]

Here's what worked for me. It's a bit rough but hey.

1. Download the portable version of xtts-web ui by daswer123 " https://huggingface.co/daswer123/xtts_portable/resolve/main/xtts-webui-v1_0-portable.zip?download=true"
2. Copy the contents of the folder "xtts-webui-v1_0-portable\webui\venv\Lib\site-packages"
3. Paste on "XTTS-RVC-UI\venv\Lib\site-packages" and replace all duplicates
4. call start.bat
5. pip install gradio (on venv)
6. call start.bat
7. pip install fairseq (on venv)
8. python app.py (on venv)

Hope it will work for you