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fix: mypy

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This commit is contained in:
Javier Martinez 2024-07-29 09:31:21 +02:00
parent 0a9c57447b
commit c096a42aa1
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2 changed files with 14 additions and 13 deletions
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14
private_gpt/components/embedding/embedding_component.py
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@ -68,10 +68,10 @@ class EmbeddingComponent:
)
case "ollama":
try:
from ollama import Client, AsyncClient # type: ignore
from llama_index.embeddings.ollama import ( # type: ignore
OllamaEmbedding,
)
from ollama import Client # type: ignore
except ImportError as e:
raise ImportError(
"Local dependencies not found, install with `poetry install --extras embeddings-ollama`"
@ -79,9 +79,9 @@ class EmbeddingComponent:
ollama_settings = settings.ollama
# calculate embedding model. If not provided tag, it will be use latest model
# Calculate embedding model. If not provided tag, it will be use latest
model_name = (
ollama_settings.embedding_model + ':latest'
ollama_settings.embedding_model + ":latest"
if ":" not in ollama_settings.embedding_model
else ollama_settings.embedding_model
)
@ -98,11 +98,11 @@ class EmbeddingComponent:
host=ollama_settings.embedding_api_base,
timeout=ollama_settings.request_timeout,
)
installed_models = [model['name'] for model in client.list().get("models", {})]
installed_models = [
model["name"] for model in client.list().get("models", {})
]
if model_name not in installed_models:
logger.info(
f"Pulling model {model_name}. Please wait..."
)
logger.info(f"Pulling model {model_name}. Please wait...")
client.pull(model_name)
logger.info(f"Model {model_name} pulled successfully")
except Exception as e:

13
private_gpt/components/llm/llm_component.py
View file

@ -146,9 +146,9 @@ class LLMComponent:
"repeat_penalty": ollama_settings.repeat_penalty, # ollama llama-cpp
}
# calculate llm model. If not provided tag, it will be use latest model
# calculate llm model. If not provided tag, it will be use latest
model_name = (
ollama_settings.llm_model + ':latest'
ollama_settings.llm_model + ":latest"
if ":" not in ollama_settings.llm_model
else ollama_settings.llm_model
)
@ -164,11 +164,12 @@ class LLMComponent:
if ollama_settings.autopull_models:
try:
installed_models = [model['name'] for model in llm.client.list().get("models", {})]
installed_models = [
model["name"]
for model in llm.client.list().get("models", {})
]
if model_name not in installed_models:
logger.info(
f"Pulling model {model_name}. Please wait..."
)
logger.info(f"Pulling model {model_name}. Please wait...")
llm.client.pull(model_name)
logger.info(f"Model {model_name} pulled successfully")
except Exception as e: