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updated Dockerfile
Browse files- Dockerfile +2 -1
- semantic.py +11 -10
Dockerfile
CHANGED
@@ -5,8 +5,9 @@ ENV HOME=/home/user \
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PATH=/home/user/.local/bin:$PATH
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WORKDIR /home/user/app
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COPY --chown=user . $HOME/app
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COPY ./requirements.txt ~/app/requirements.txt
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RUN pip install -r requirements.txt
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COPY . .
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CMD ["chainlit", "run", "app.py", "--port", "7860"]
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PATH=/home/user/.local/bin:$PATH
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WORKDIR /home/user/app
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COPY --chown=user . $HOME/app
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RUN python -m pip install --upgrade pip setuptools
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COPY ./requirements.txt ~/app/requirements.txt
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RUN pip install --no-cache-dir -r requirements.txt
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COPY . .
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CMD ["chainlit", "run", "app.py", "--port", "7860"]
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semantic.py
CHANGED
@@ -64,19 +64,20 @@ class SemanticStoreFactory:
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# check if path exists and if it is not empty
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if path.exists() and path.is_dir() and any(path.iterdir()):
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_logger.info(f"\tQdrant loading ...")
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# embeddings=embeddings,
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# path=VECTOR_STORE_PATH,
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# prefer_grpc=True,
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# collection_name=META_SEMANTIC_COLLECTION,
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# )
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store = Qdrant(
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client=qclient,
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embeddings=embeddings,
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collection_name=META_SEMANTIC_COLLECTION,
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)
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else:
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_logger.info(f"\tQdrant creating ...")
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store = cls.__create_semantic_store()
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# check if path exists and if it is not empty
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if path.exists() and path.is_dir() and any(path.iterdir()):
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_logger.info(f"\tQdrant loading ...")
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store = Qdrant.from_documents(
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[],
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embeddings=embeddings,
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location=":memory:",
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# path=META_10K_FILE_PATH,
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prefer_grpc=True,
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collection_name=META_SEMANTIC_COLLECTION,
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)
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+
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# store = Qdrant(
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# client=qclient,
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# embeddings=embeddings,
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# collection_name=META_SEMANTIC_COLLECTION,
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# )
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else:
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_logger.info(f"\tQdrant creating ...")
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store = cls.__create_semantic_store()
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