updated Readme file

README.md

@@ -13,9 +13,15 @@ library_name: transformers
 ---
 # TADBot
 
+## Problem Statement
+
+- Mental health issues are a significant problem that affects millions of people worldwide, yet many people struggle to seek help due to stigma, lack of resources, or other barriers.
+- Existing mental health resources often lack personalization and empathy, making it difficult for individuals to connect with them and receive the help they need.
+- There is a need for a more accessible, affordable, and personalized mental health resource that can provide support and advice to individuals who may be struggling with mental health issues.
+
 ## Overview
 
-TADBot is small language model that is trained on the nbertagnolli/counsel-chat dataset. It is a fine-tuned version of the Gemma 2 2B, which is a small language model with 2 billion parameters. TADBot is designed to assist people deal with mental problems and offer them advice based on the context of the conversation. It is not intended to replace professional mental health care, but rather to provide a supportive and empathetic resource for those who may be struggling with mental health issues. TADBot is still in development and is not yet available for public use.
+TADBot is a small language model that is fine-tuned on the nbertagnolli/counsel-chat dataset to assist people deal with mental problems and offer them advice based on the context of the conversation. It is designed to be a supportive and empathetic resource for those who may be struggling with mental health issues, providing personalized and tailored support and advice. TADBot is still in development and is not yet available for public use, but it has the potential to significantly improve access to mental health resources and support for individuals who may be struggling with mental health issues.
 
 ## Technology used
 

requirements.in

@@ -1,140 +0,0 @@
-absl-py==2.1.0
-accelerate==1.1.1
-aiohappyeyeballs==2.4.3
-aiohttp==3.10.10
-aiosignal==1.3.1
-asttokens==2.4.1
-astunparse==1.6.3
-attrs==24.2.0
-beautifulsoup4==4.12.3
-bitsandbytes==0.44.1
-blinker==1.9.0
-certifi==2024.8.30
-charset-normalizer==3.4.0
-click==8.1.7
-colorama==0.4.6
-comm==0.2.2
-contourpy==1.3.0
-cycler==0.12.1
-datasets==3.1.0
-debugpy==1.8.8
-decorator==5.1.1
-deepface==0.0.93
-dill==0.3.8
-executing==2.1.0
-filelock==3.16.1
-fire==0.7.0
-flask==3.0.3
-flask-cors==5.0.0
-flatbuffers==24.3.25
-fonttools==4.54.1
-frozenlist==1.5.0
-fsspec==2024.9.0
-gast==0.6.0
-gdown==5.2.0
-google-pasta==0.2.0
-grpcio==1.67.1
-gunicorn==23.0.0
-h5py==3.12.1
-huggingface-hub==0.26.2
-idna==3.10
-ipykernel==6.29.5
-ipython==8.29.0
-ipywidgets==8.1.5
-itsdangerous==2.2.0
-jedi==0.19.2
-jinja2==3.1.4
-joblib==1.4.2
-jsonlines==4.0.0
-jupyter-client==8.6.3
-jupyter-core==5.7.2
-jupyterlab-widgets==3.0.13
-keras==3.6.0
-kiwisolver==1.4.7
-libclang==18.1.1
-lz4==4.3.3
-markdown==3.7
-markdown-it-py==3.0.0
-markupsafe==3.0.1
-matplotlib==3.9.2
-matplotlib-inline==0.1.7
-mdurl==0.1.2
-ml-dtypes==0.4.1
-mpmath==1.3.0
-mtcnn==1.0.0
-multidict==6.1.0
-multiprocess==0.70.16
-namex==0.0.8
-nest-asyncio==1.6.0
-networkx==3.4.2
-numpy==2.0.2
-opencv-python==4.10.0.84
-opt-einsum==3.4.0
-optree==0.13.0
-packaging==24.2
-pandas==2.2.3
-parso==0.8.4
-peft==0.13.2
-pillow==11.0.0
-platformdirs==4.3.6
-prompt-toolkit==3.0.48
-propcache==0.2.0
-protobuf==5.28.3
-psutil==6.1.0
-pure-eval==0.2.3
-pyarrow==18.0.0
-pygments==2.18.0
-pyparsing==3.2.0
-pysocks==1.7.1
-python-dateutil==2.9.0.post0
-pytz==2024.2
-pywin32==308
-pyyaml==6.0.2
-pyzmq==26.2.0
-regex==2024.11.6
-requests==2.32.3
-retina-face==0.0.17
-rich==13.9.4
-safetensors==0.4.5
-scikit-learn==1.5.2
-scipy==1.14.1
-setuptools==75.4.0
-six==1.16.0
-soupsieve==2.6
-stack-data==0.6.3
-sympy==1.13.1
-tensorboard==2.18.0
-tensorboard-data-server==0.7.2
-tensorflow==2.18.0
-tensorflow-intel==2.18.0
-tensorflow-io-gcs-filesystem==0.31.0
-termcolor==2.5.0
-tf-keras==2.18.0
-thop==0.1.1.post2209072238
-threadpoolctl==3.5.0
-timm==1.0.11
-tokenizers==0.20.3
-torch==2.5.1+cu124
-torchaudio==2.5.1+cu124
-torchsampler==0.1.2
-torchvision==0.20.1+cu124
-tornado==6.4.1
-tqdm==4.67.0
-traitlets==5.14.3
-transformers==4.46.2
-trl==0.12.0
-typing-extensions==4.12.2
-tzdata==2024.2
-urllib3==2.2.3
-wcwidth==0.2.13
-werkzeug==3.1.3
-wheel==0.45.0
-widgetsnbextension==4.0.13
-wrapt==1.16.0
-xxhash==3.5.0
-yarl==1.17.1
-torch==2.5.1
-torchvision==0.20.1
-torchaudio==2.5.1
-speechrecogntion
-pyttsx3

requirements.txt

@@ -1,402 +0,0 @@
-# This file was autogenerated by uv via the following command:
-#    uv pip compile requirements.in -o requirements.txt --python-version 3.11.10 --index-strategy unsafe-best-match --universal
-absl-py==2.1.0
-    # via
-    #   keras
-    #   tensorboard
-    #   tensorflow
-accelerate==1.1.1
-    # via
-    #   -r requirements.in
-    #   peft
-    #   trl
-aiohappyeyeballs==2.4.3
-    # via aiohttp
-aiohttp==3.10.10
-    # via
-    #   datasets
-    #   fsspec
-aiosignal==1.3.1
-    # via aiohttp
-astunparse==1.6.3
-    # via tensorflow
-attrs==24.2.0
-    # via
-    #   aiohttp
-    #   jsonlines
-beautifulsoup4==4.12.3
-    # via gdown
-bitsandbytes==0.44.1
-    # via -r requirements.in
-blinker==1.9.0
-    # via flask
-certifi==2024.8.30
-    # via requests
-charset-normalizer==3.4.0
-    # via requests
-click==8.1.7
-    # via flask
-colorama==0.4.6 ; platform_system == 'Windows'
-    # via
-    #   click
-    #   tqdm
-contourpy==1.3.0
-    # via matplotlib
-cycler==0.12.1
-    # via matplotlib
-datasets==3.1.0
-    # via
-    #   -r requirements.in
-    #   trl
-deepface==0.0.93
-    # via -r requirements.in
-dill==0.3.8
-    # via
-    #   datasets
-    #   multiprocess
-filelock==3.16.1
-    # via
-    #   datasets
-    #   gdown
-    #   huggingface-hub
-    #   torch
-    #   transformers
-    #   triton
-fire==0.7.0
-    # via deepface
-flask==3.0.3
-    # via
-    #   deepface
-    #   flask-cors
-flask-cors==5.0.0
-    # via deepface
-flatbuffers==24.3.25
-    # via tensorflow
-fonttools==4.54.1
-    # via matplotlib
-frozenlist==1.5.0
-    # via
-    #   aiohttp
-    #   aiosignal
-fsspec==2024.9.0
-    # via
-    #   datasets
-    #   huggingface-hub
-    #   torch
-gast==0.6.0
-    # via tensorflow
-gdown==5.2.0
-    # via
-    #   deepface
-    #   retina-face
-google-pasta==0.2.0
-    # via tensorflow
-grpcio==1.67.1
-    # via
-    #   tensorboard
-    #   tensorflow
-gunicorn==23.0.0
-    # via deepface
-h5py==3.12.1
-    # via
-    #   keras
-    #   tensorflow
-huggingface-hub==0.26.2
-    # via
-    #   -r requirements.in
-    #   accelerate
-    #   datasets
-    #   peft
-    #   tokenizers
-    #   transformers
-idna==3.10
-    # via
-    #   requests
-    #   yarl
-itsdangerous==2.2.0
-    # via flask
-jinja2==3.1.4
-    # via
-    #   flask
-    #   torch
-joblib==1.4.2
-    # via
-    #   mtcnn
-    #   scikit-learn
-jsonlines==4.0.0
-    # via -r requirements.in
-keras==3.6.0
-    # via
-    #   deepface
-    #   tensorflow
-kiwisolver==1.4.7
-    # via matplotlib
-libclang==18.1.1
-    # via tensorflow
-lz4==4.3.3
-    # via mtcnn
-markdown==3.7
-    # via tensorboard
-markdown-it-py==3.0.0
-    # via rich
-markupsafe==3.0.1
-    # via
-    #   jinja2
-    #   werkzeug
-matplotlib==3.9.2
-    # via -r requirements.in
-mdurl==0.1.2
-    # via markdown-it-py
-ml-dtypes==0.4.1
-    # via
-    #   keras
-    #   tensorflow
-mpmath==1.3.0
-    # via sympy
-mtcnn==1.0.0
-    # via deepface
-multidict==6.1.0
-    # via
-    #   aiohttp
-    #   yarl
-multiprocess==0.70.16
-    # via datasets
-namex==0.0.8
-    # via keras
-networkx==3.4.2
-    # via torch
-numpy==2.0.2
-    # via
-    #   accelerate
-    #   bitsandbytes
-    #   contourpy
-    #   datasets
-    #   deepface
-    #   h5py
-    #   keras
-    #   matplotlib
-    #   ml-dtypes
-    #   opencv-python
-    #   pandas
-    #   peft
-    #   retina-face
-    #   scikit-learn
-    #   scipy
-    #   tensorboard
-    #   tensorflow
-    #   torchvision
-    #   transformers
-nvidia-cublas-cu12==12.4.5.8 ; platform_machine == 'x86_64' and platform_system == 'Linux'
-    # via
-    #   nvidia-cudnn-cu12
-    #   nvidia-cusolver-cu12
-    #   torch
-nvidia-cuda-cupti-cu12==12.4.127 ; platform_machine == 'x86_64' and platform_system == 'Linux'
-    # via torch
-nvidia-cuda-nvrtc-cu12==12.4.127 ; platform_machine == 'x86_64' and platform_system == 'Linux'
-    # via torch
-nvidia-cuda-runtime-cu12==12.4.127 ; platform_machine == 'x86_64' and platform_system == 'Linux'
-    # via torch
-nvidia-cudnn-cu12==9.1.0.70 ; platform_machine == 'x86_64' and platform_system == 'Linux'
-    # via torch
-nvidia-cufft-cu12==11.2.1.3 ; platform_machine == 'x86_64' and platform_system == 'Linux'
-    # via torch
-nvidia-curand-cu12==10.3.5.147 ; platform_machine == 'x86_64' and platform_system == 'Linux'
-    # via torch
-nvidia-cusolver-cu12==11.6.1.9 ; platform_machine == 'x86_64' and platform_system == 'Linux'
-    # via torch
-nvidia-cusparse-cu12==12.3.1.170 ; platform_machine == 'x86_64' and platform_system == 'Linux'
-    # via
-    #   nvidia-cusolver-cu12
-    #   torch
-nvidia-nccl-cu12==2.21.5 ; platform_machine == 'x86_64' and platform_system == 'Linux'
-    # via torch
-nvidia-nvjitlink-cu12==12.4.127 ; platform_machine == 'x86_64' and platform_system == 'Linux'
-    # via
-    #   nvidia-cufft-cu12
-    #   nvidia-cusolver-cu12
-    #   nvidia-cusparse-cu12
-    #   torch
-nvidia-nvtx-cu12==12.4.127 ; platform_machine == 'x86_64' and platform_system == 'Linux'
-    # via torch
-opencv-python==4.10.0.84
-    # via
-    #   deepface
-    #   retina-face
-opt-einsum==3.4.0
-    # via tensorflow
-optree==0.13.0
-    # via keras
-packaging==24.2
-    # via
-    #   accelerate
-    #   datasets
-    #   gunicorn
-    #   huggingface-hub
-    #   keras
-    #   matplotlib
-    #   peft
-    #   tensorboard
-    #   tensorflow
-    #   transformers
-pandas==2.2.3
-    # via
-    #   datasets
-    #   deepface
-    #   torchsampler
-peft==0.13.2
-    # via -r requirements.in
-pillow==11.0.0
-    # via
-    #   deepface
-    #   matplotlib
-    #   retina-face
-    #   torchvision
-propcache==0.2.0
-    # via yarl
-protobuf==5.28.3
-    # via
-    #   tensorboard
-    #   tensorflow
-psutil==6.1.0
-    # via
-    #   accelerate
-    #   peft
-pyarrow==18.0.0
-    # via datasets
-pygments==2.18.0
-    # via rich
-pyparsing==3.2.0
-    # via matplotlib
-pysocks==1.7.1
-    # via requests
-python-dateutil==2.9.0.post0
-    # via
-    #   matplotlib
-    #   pandas
-pytz==2024.2
-    # via pandas
-pyyaml==6.0.2
-    # via
-    #   accelerate
-    #   datasets
-    #   huggingface-hub
-    #   peft
-    #   transformers
-regex==2024.11.6
-    # via transformers
-requests==2.32.3
-    # via
-    #   datasets
-    #   deepface
-    #   gdown
-    #   huggingface-hub
-    #   tensorflow
-    #   transformers
-retina-face==0.0.17
-    # via deepface
-rich==13.9.4
-    # via
-    #   keras
-    #   trl
-safetensors==0.4.5
-    # via
-    #   accelerate
-    #   peft
-    #   transformers
-scikit-learn==1.5.2
-    # via -r requirements.in
-scipy==1.14.1
-    # via scikit-learn
-setuptools==75.4.0
-    # via
-    #   tensorboard
-    #   tensorflow
-    #   torch
-six==1.16.0
-    # via
-    #   astunparse
-    #   google-pasta
-    #   python-dateutil
-    #   tensorboard
-    #   tensorflow
-soupsieve==2.6
-    # via beautifulsoup4
-sympy==1.13.1
-    # via torch
-tensorboard==2.18.0
-    # via
-    #   -r requirements.in
-    #   tensorflow
-tensorboard-data-server==0.7.2
-    # via tensorboard
-tensorflow==2.18.0
-    # via
-    #   deepface
-    #   retina-face
-tensorflow-io-gcs-filesystem==0.31.0 ; python_full_version < '3.12'
-    # via tensorflow
-termcolor==2.5.0
-    # via
-    #   fire
-    #   tensorflow
-threadpoolctl==3.5.0
-    # via scikit-learn
-tokenizers==0.20.3
-    # via transformers
-torch==2.5.1+cu124
-    # via
-    #   -r requirements.in
-    #   accelerate
-    #   bitsandbytes
-    #   peft
-    #   torchaudio
-    #   torchsampler
-    #   torchvision
-torchaudio==2.5.1+cu124
-    # via -r requirements.in
-torchsampler==0.1.2
-    # via -r requirements.in
-torchvision==0.20.1+cu124
-    # via
-    #   -r requirements.in
-    #   torchsampler
-tqdm==4.67.0
-    # via
-    #   datasets
-    #   deepface
-    #   gdown
-    #   huggingface-hub
-    #   peft
-    #   transformers
-transformers==4.46.2
-    # via
-    #   -r requirements.in
-    #   peft
-    #   trl
-triton==3.1.0 ; python_full_version < '3.13' and platform_machine == 'x86_64' and platform_system == 'Linux'
-    # via torch
-trl==0.12.0
-    # via -r requirements.in
-typing-extensions==4.12.2
-    # via
-    #   huggingface-hub
-    #   optree
-    #   tensorflow
-    #   torch
-tzdata==2024.2
-    # via pandas
-urllib3==2.2.3
-    # via requests
-werkzeug==3.1.3
-    # via
-    #   flask
-    #   tensorboard
-wheel==0.45.0
-    # via astunparse
-wrapt==1.16.0
-    # via tensorflow
-xxhash==3.5.0
-    # via datasets
-yarl==1.17.1
-    # via aiohttp