fix the runtime error
Browse files
app.py
CHANGED
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@@ -4,47 +4,24 @@ from typing import Union, List
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from predict_dept_model import DepartmentPredictor
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from contextlib import asynccontextmanager
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from response_schema import ClassificationOutput, TextInput
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from huggingface_hub import
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# hf api
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api = HfApi()
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def clear_hf_cache(model_repo: str) -> None:
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"""
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Clears the Hugging Face model cache for the specified repository.
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Args:
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model_repo (str): The model repository identifier (e.g., 'mr-kush/sambodhan-department-classification-model').
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"""
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# Scan the cache directory
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cache_info = scan_cache_dir()
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# Find the repository in the cache
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repo_info = next((repo for repo in cache_info.cached_repos if repo.repo_id == model_repo), None)
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if repo_info:
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# Delete all revisions of the repository
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delete_strategy = cache_info.delete_revisions(*repo_info.revisions)
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print(f"Will free {delete_strategy.expected_freed_size_str}")
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delete_strategy.execute()
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print("Cache deletion done.")
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else:
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print(f"Repository '{model_repo}' not found in cache.")
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# Setting up startup and shutdown logic
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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# Clear the Hugging Face model cache
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clear_hf_cache("mr-kush/sambodhan-department-classification-model")
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# Load the model
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global predictor
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predictor = DepartmentPredictor()
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yield
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app = FastAPI(
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title="Sambodhan Department Classifier API",
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@@ -71,10 +48,6 @@ def predict_department(input_data: TextInput):
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@app.get("/")
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def root():
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# Define the model repository ID
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model_repo = "mr-kush/sambodhan-department-classification-model"
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# Fetch the latest commit hash (revision) from the model repository
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latest_tag = api.list_repo_refs(repo_id=model_repo, repo_type="model").tags[0].name
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from predict_dept_model import DepartmentPredictor
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from contextlib import asynccontextmanager
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from response_schema import ClassificationOutput, TextInput
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from huggingface_hub import HfApi
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# Define the model repository ID
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model_repo = "mr-kush/sambodhan-department-classification-model"
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# hf api
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api = HfApi()
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# Setting up startup and shutdown logic
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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# Load the model
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global predictor
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predictor = DepartmentPredictor()
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yield
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app = FastAPI(
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title="Sambodhan Department Classifier API",
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@app.get("/")
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def root():
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# Fetch the latest commit hash (revision) from the model repository
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latest_tag = api.list_repo_refs(repo_id=model_repo, repo_type="model").tags[0].name
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