vhr1007
commited on
Commit
•
8411b7d
1
Parent(s):
b619001
bugs
Browse files
__pycache__/app.cpython-311.pyc
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__pycache__/config.cpython-311.pyc
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Binary file (505 Bytes). View file
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app.py
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@@ -2,7 +2,7 @@ from huggingface_hub import login
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from fastapi import FastAPI, Depends, HTTPException
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import logging
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from pydantic import BaseModel
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from sentence_transformers import SentenceTransformer
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from services.qdrant_searcher import QdrantSearcher
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from services.openai_service import generate_rag_response
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from utils.auth import token_required
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@@ -23,7 +23,7 @@ hf_home_dir = os.environ["HF_HOME"]
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if not os.path.exists(hf_home_dir):
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os.makedirs(hf_home_dir)
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# Setup logging
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logging.basicConfig(level=logging.INFO)
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# Load Hugging Face token from environment variable
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@@ -47,7 +47,6 @@ if not qdrant_url or not access_token:
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# Initialize the SentenceTransformer model with the cache directory managed by HF_HOME
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try:
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st_logging.set_verbosity_info()
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encoder = SentenceTransformer('nomic-ai/nomic-embed-text-v1.5')
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logging.info("Successfully loaded the SentenceTransformer model.")
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except Exception as e:
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from fastapi import FastAPI, Depends, HTTPException
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import logging
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from pydantic import BaseModel
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from sentence_transformers import SentenceTransformer
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from services.qdrant_searcher import QdrantSearcher
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from services.openai_service import generate_rag_response
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from utils.auth import token_required
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if not os.path.exists(hf_home_dir):
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os.makedirs(hf_home_dir)
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# Setup logging using Python's standard logging library
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logging.basicConfig(level=logging.INFO)
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# Load Hugging Face token from environment variable
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# Initialize the SentenceTransformer model with the cache directory managed by HF_HOME
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try:
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encoder = SentenceTransformer('nomic-ai/nomic-embed-text-v1.5')
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logging.info("Successfully loaded the SentenceTransformer model.")
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except Exception as e:
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services/__pycache__/openai_service.cpython-311.pyc
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Binary file (2.65 kB). View file
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services/__pycache__/qdrant_searcher.cpython-311.pyc
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Binary file (2.96 kB). View file
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