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# Streamlit for the web interface | |
streamlit==1.24.0 | |
# Transformers and datasets for working with RAG and language models | |
transformers==4.30.0 | |
datasets | |
# FAISS for vector search and retrieval | |
faiss-cpu==1.7.2 | |
# Torch for model inference | |
torch==1.11.0 | |
# PDF handling | |
pdfplumber==0.7.4 | |
# Pandas for CSV handling | |
pandas==2.1.1 | |
# Hugging Face Hub for downloading and managing models | |
huggingface-hub>=0.19 | |
# HF Transfer for model download optimizations | |
hf-transfer>=0.1.4 | |
# Protobuf for model file compatibility | |
protobuf<4 | |
# Pydantic for data validation | |
pydantic>=2.0 | |
# Click for command-line interaction compatibility | |
click<8.1 | |
# Numpy for matrix operations and numerical computations | |
numpy==1.23.0 | |
# scikit-learn for cosine similarity and other machine learning utilities | |
scikit-learn==1.2.2 | |
# Optional: pytesseract and Pillow for OCR if necessary for PDFs without extractable text | |
pytesseract==0.3.9 | |
Pillow==9.4.0 | |
sentence-transformers==2.2.2 | |