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zylon-ai / private-gpt

Interact with your documents using the power of GPT, 100% privately, no data leaks
https://docs.privategpt.dev
Apache License 2.0
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Error occurs when "make run" on Win11 #1929

Open AeneasZhu opened 1 month ago

AeneasZhu commented 1 month ago 
(privategpt) PS D:\AGI\privategpt> $env:PGPT_PROFILES="ollama"; make run
poetry run python -m private_gpt
21:29:52.426 [INFO    ] private_gpt.settings.settings_loader - Starting application with profiles=['default', 'ollama']
21:29:53.085 [INFO    ]             numexpr.utils - Note: NumExpr detected 20 cores but "NUMEXPR_MAX_THREADS" not set, so enforcing safe limit of 8.
21:29:53.085 [INFO    ]             numexpr.utils - NumExpr defaulting to 8 threads.
None of PyTorch, TensorFlow >= 2.0, or Flax have been found. Models won't be available and only tokenizers, configuration and file/data utilities can be used.
21:29:57.055 [INFO    ] private_gpt.components.llm.llm_component - Initializing the LLM in mode=ollama
21:29:57.603 [INFO    ] private_gpt.components.embedding.embedding_component - Initializing the embedding model in mode=ollama
Traceback (most recent call last):
  File "D:\AGI\pyvenv\privategpt\Lib\site-packages\injector\__init__.py", line 798, in get
    return self._context[key]
           ~~~~~~~~~~~~~^^^^^
KeyError: <class 'private_gpt.ui.ui.PrivateGptUi'>

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "D:\AGI\pyvenv\privategpt\Lib\site-packages\injector\__init__.py", line 798, in get
    return self._context[key]
           ~~~~~~~~~~~~~^^^^^
KeyError: <class 'private_gpt.server.ingest.ingest_service.IngestService'>

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "D:\AGI\pyvenv\privategpt\Lib\site-packages\injector\__init__.py", line 798, in get
    return self._context[key]
           ~~~~~~~~~~~~~^^^^^
KeyError: <class 'private_gpt.components.embedding.embedding_component.EmbeddingComponent'>

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "<frozen runpy>", line 198, in _run_module_as_main
  File "<frozen runpy>", line 88, in _run_code
  File "D:\AGI\privategpt\private_gpt\__main__.py", line 5, in <module>
    from private_gpt.main import app
  File "D:\AGI\privategpt\private_gpt\main.py", line 6, in <module>
    app = create_app(global_injector)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AGI\privategpt\private_gpt\launcher.py", line 63, in create_app
    ui = root_injector.get(PrivateGptUi)
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AGI\pyvenv\privategpt\Lib\site-packages\injector\__init__.py", line 91, in wrapper
    return function(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AGI\pyvenv\privategpt\Lib\site-packages\injector\__init__.py", line 974, in get
    provider_instance = scope_instance.get(interface, binding.provider)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AGI\pyvenv\privategpt\Lib\site-packages\injector\__init__.py", line 91, in wrapper
    return function(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AGI\pyvenv\privategpt\Lib\site-packages\injector\__init__.py", line 800, in get
    instance = self._get_instance(key, provider, self.injector)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AGI\pyvenv\privategpt\Lib\site-packages\injector\__init__.py", line 811, in _get_instance
    return provider.get(injector)
           ^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AGI\pyvenv\privategpt\Lib\site-packages\injector\__init__.py", line 264, in get
    return injector.create_object(self._cls)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AGI\pyvenv\privategpt\Lib\site-packages\injector\__init__.py", line 998, in create_object
    self.call_with_injection(init, self_=instance, kwargs=additional_kwargs)
  File "D:\AGI\pyvenv\privategpt\Lib\site-packages\injector\__init__.py", line 1031, in call_with_injection
    dependencies = self.args_to_inject(
                   ^^^^^^^^^^^^^^^^^^^^
  File "D:\AGI\pyvenv\privategpt\Lib\site-packages\injector\__init__.py", line 91, in wrapper
    return function(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AGI\pyvenv\privategpt\Lib\site-packages\injector\__init__.py", line 1079, in args_to_inject
    instance: Any = self.get(interface)
                    ^^^^^^^^^^^^^^^^^^^
  File "D:\AGI\pyvenv\privategpt\Lib\site-packages\injector\__init__.py", line 91, in wrapper
    return function(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AGI\pyvenv\privategpt\Lib\site-packages\injector\__init__.py", line 974, in get
    provider_instance = scope_instance.get(interface, binding.provider)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AGI\pyvenv\privategpt\Lib\site-packages\injector\__init__.py", line 91, in wrapper
    return function(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AGI\pyvenv\privategpt\Lib\site-packages\injector\__init__.py", line 800, in get
    instance = self._get_instance(key, provider, self.injector)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AGI\pyvenv\privategpt\Lib\site-packages\injector\__init__.py", line 811, in _get_instance
    return provider.get(injector)
           ^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AGI\pyvenv\privategpt\Lib\site-packages\injector\__init__.py", line 264, in get
    return injector.create_object(self._cls)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AGI\pyvenv\privategpt\Lib\site-packages\injector\__init__.py", line 998, in create_object
    self.call_with_injection(init, self_=instance, kwargs=additional_kwargs)
  File "D:\AGI\pyvenv\privategpt\Lib\site-packages\injector\__init__.py", line 1031, in call_with_injection
    dependencies = self.args_to_inject(
                   ^^^^^^^^^^^^^^^^^^^^
  File "D:\AGI\pyvenv\privategpt\Lib\site-packages\injector\__init__.py", line 91, in wrapper
    return function(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AGI\pyvenv\privategpt\Lib\site-packages\injector\__init__.py", line 1079, in args_to_inject
    instance: Any = self.get(interface)
                    ^^^^^^^^^^^^^^^^^^^
  File "D:\AGI\pyvenv\privategpt\Lib\site-packages\injector\__init__.py", line 91, in wrapper
    return function(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AGI\pyvenv\privategpt\Lib\site-packages\injector\__init__.py", line 974, in get
    provider_instance = scope_instance.get(interface, binding.provider)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AGI\pyvenv\privategpt\Lib\site-packages\injector\__init__.py", line 91, in wrapper
    return function(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AGI\pyvenv\privategpt\Lib\site-packages\injector\__init__.py", line 800, in get
    instance = self._get_instance(key, provider, self.injector)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AGI\pyvenv\privategpt\Lib\site-packages\injector\__init__.py", line 811, in _get_instance
    return provider.get(injector)
           ^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AGI\pyvenv\privategpt\Lib\site-packages\injector\__init__.py", line 264, in get
    return injector.create_object(self._cls)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AGI\pyvenv\privategpt\Lib\site-packages\injector\__init__.py", line 998, in create_object
    self.call_with_injection(init, self_=instance, kwargs=additional_kwargs)
  File "D:\AGI\pyvenv\privategpt\Lib\site-packages\injector\__init__.py", line 1040, in call_with_injection
    return callable(*full_args, **dependencies)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AGI\privategpt\private_gpt\components\embedding\embedding_component.py", line 71, in __init__
    self.embedding_model = OllamaEmbedding(
                           ^^^^^^^^^^^^^^^^
  File "D:\AGI\pyvenv\privategpt\Lib\site-packages\llama_index\embeddings\ollama\base.py", line 32, in __init__
    super().__init__(
  File "D:\AGI\pyvenv\privategpt\Lib\site-packages\pydantic\v1\main.py", line 341, in __init__
    raise validation_error
pydantic.v1.error_wrappers.ValidationError: 1 validation error for OllamaEmbedding
base_url
  str type expected (type=type_error.str)
make: *** [run] error 1

I follow the installation guide: https://docs.privategpt.dev/installation/getting-started/installation. Does anyone know how to fix it?

gmonarque commented 1 month ago

Hello, same here

Mohsen1105 commented 3 weeks ago

hi, I got this error too