# Transformers library for loading pre-trained models (XGLM in this case)
transformers==4.31.0

# PyTorch for model operations (transformers depend on torch)
torch==2.0.1

# Flask for backend API
Flask==2.3.2

# Scikit-learn for TF-IDF vectorizer and cosine similarity
scikit-learn==1.3.0

# Gradio for frontend interface
gradio==4.44.0

# NLTK for BLEU score calculation (evaluation metrics)
nltk==3.8.1

# Rouge for ROUGE score calculation
rouge-score==0.1.2

# JSON for working with datasets
jsonschema==4.17.3

# Any additional dependencies
aiofiles==23.2.1
anyio==4.4.0
ffmpy==0.4.0
fastapi==0.115.0
httpx==0.27.2
huggingface-hub==0.25.1
importlib-resources==6.4.5
jinja2==3.1.4
markupsafe==2.1.5
matplotlib==3.9.2
numpy==2.1.0
orjson==3.10.7
packaging==24.1
pandas==2.2.3
pillow==10.4.0
pydantic==2.9.2
pydub==0.25.1
python-multipart==0.0.12
pyyaml==6.0.2
ruff==0.6.9
semantic-version==2.10.0
tomlkit==0.12.0