requirements.txt

flask
flask_login
flask_sqlalchemy
flask_wtf
email-validator

# Core Scientific Stack
scipy==1.11.3
soundfile==0.12.1
sounddevice==0.4.6
opencv-python==4.7.0.72
moviepy==1.0.3
librosa==0.10.0.post2

# Hugging Face Transformers + Whisper
transformers==4.39.3
torch==2.1.2
sentencepiece==0.1.99
sentence-transformers==2.7.0

# LangChain stack
langchain==0.3.26
langchain_groq==0.3.6
langchain_community==0.3.27
llama-index==0.8.40
cohere==5.16.1

# Vector DB
qdrant-client==1.14.3

# PDF & DOCX parsing (removed; resume parsing is no longer supported)

# Audio processing
ffmpeg-python==0.2.0
inputimeout==1.0.4
evaluate==0.4.5
accelerate==0.29.3
huggingface_hub==0.20.3
# textract removed; no resume parsing
bitsandbytes
faster-whisper==0.10.0
edge-tts==6.1.2

# Additional Flask dependencies
gunicorn
python-dotenv

# --- Chatbot Dependencies ---
# The chatbot feature relies on a vector database and external API calls via the
# OpenAI client.  ``chromadb`` provides a simple embedding store for semantic
# search over the knowledge base stored in ``chatbot/chatbot.txt``.  ``openai``
# is required to communicate with the Groq API endpoint (which is compatible
# with the OpenAI client).  ``flask-cors`` allows cross‑origin requests if we
# decide to decouple the chat interface in the future.
chromadb>=0.4.0
openai>=1.8.0
flask-cors>=4.0.0

# Audio format conversion (critical for WebM/WAV handling)
pydub>=0.25.1

# Better error handling for API calls
requests>=2.31.0