jhon parra
commited on
Commit
·
b9e3404
1
Parent(s):
fcc2ea7
app definition
Browse files- .streamlit/config.toml +2 -0
- app.py +69 -0
- requirements.txt +175 -0
.streamlit/config.toml
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[theme]
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base = "dark"
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app.py
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from transformers import AutoTokenizer, AutoModelForCausalLM,pipeline
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import torch
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import streamlit as st
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MODELS={
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'uribe':{
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'tokenizer':AutoTokenizer.from_pretrained("jhonparra18/uribe-twitter-assistant-30ep"),
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'model':AutoModelForCausalLM.from_pretrained("jhonparra18/uribe-twitter-assistant-30ep")},
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'petro':{
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'tokenizer':AutoTokenizer.from_pretrained("jhonparra18/petro-twitter-assistant-30ep"),
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'model':AutoModelForCausalLM.from_pretrained("jhonparra18/petro-twitter-assistant-30ep")}}
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# MODELS={'petro':pipeline('text-generation', model='jhonparra18/petro-twitter-assistant-30ep-large'),
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# 'uribe':pipeline('text-generation', model='jhonparra18/uribe-twitter-assistant-30ep')}
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def text_completion(tokenizer,model,input_text:str,max_len:int=100):
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torch.manual_seed(444) ##for reproducibility
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tokenizer.padding_side="left" ##start padding from left to right
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tokenizer.pad_token = tokenizer.eos_token
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input_ids = tokenizer([input_text], return_tensors="pt",truncation=True,max_length=128)
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outputs = model.generate(**input_ids, do_sample=True, max_length=max_len,top_k=100,top_p=0.95)
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out_text = tokenizer.batch_decode(outputs, skip_special_tokens=True)[0]
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return out_text
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if "input_user_txt" not in st.session_state:
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st.session_state["input_user_txt"] = None
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if "user_max_length" not in st.session_state:
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st.session_state["user_max_length"] = 100
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st.markdown("<h3 style='text-align: center; color: white;'>Tweet de Político Colombiano: Autocompletado/generación de texto a partir de GPT2</h3>", unsafe_allow_html=True)
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st.text("")
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st.markdown("<h3 style='text-align: center; color: white;'>Causal Language Modeling</h3>", unsafe_allow_html=True)
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st.text("")
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col1,col2 = st.columns(2)
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with col1:
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with st.form("input_values"):
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politician = st.selectbox(
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"Selecciona el político",
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("Uribe", "Petro")
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)
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st.text("")
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max_length_text=st.slider('Num Max Tokens', 100, 200, 100,10,key="user_max_length")
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st.text("")
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input_user_text = st.text_area('Input Text', 'Mi gobierno es',key="input_user_txt")
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st.text("")
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go_button=st.form_submit_button('Generate',use_container_width=True)
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with col2:
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if go_button: ##avoid re running script
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with st.spinner('Generating Text...'):
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output_text=text_completion(MODELS[politician.lower()]['tokenizer'],MODELS[politician.lower()]['model'],input_user_text,max_length_text)
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st.text_area("output text",output_text,height=380,key="output_text")
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else:
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st.text_area("output text","",height=380,key="output_text")
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requirements.txt
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#
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# This file is autogenerated by pip-compile with Python 3.9
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# by the following command:
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#
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# pip-compile --output-file=requirements.txt requirements.in
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#
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aiohttp==3.8.4
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# via
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# datasets
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# fsspec
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aiosignal==1.3.1
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# via aiohttp
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appdirs==1.4.4
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# via wandb
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async-timeout==4.0.2
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# via aiohttp
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attrs==22.2.0
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# via aiohttp
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beautifulsoup4==4.11.2
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# via snscrape
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certifi==2022.12.7
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# via
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# requests
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# sentry-sdk
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charset-normalizer==3.0.1
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# via
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# aiohttp
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# requests
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click==8.1.3
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# via wandb
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datasets==2.9.0
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# via -r requirements.in
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dill==0.3.6
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# via
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# datasets
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# multiprocess
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docker-pycreds==0.4.0
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# via wandb
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filelock==3.9.0
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# via
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# huggingface-hub
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# snscrape
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# transformers
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frozenlist==1.3.3
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# via
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# aiohttp
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# aiosignal
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fsspec[http]==2023.1.0
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# via datasets
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gitdb==4.0.10
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# via gitpython
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gitpython==3.1.31
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# via wandb
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huggingface-hub==0.12.1
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# via
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# datasets
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# transformers
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idna==3.4
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# via
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# requests
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# yarl
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lxml==4.9.2
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# via snscrape
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multidict==6.0.4
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# via
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# aiohttp
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# yarl
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multiprocess==0.70.14
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# via datasets
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numpy==1.24.2
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# via
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# datasets
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# pandas
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# pyarrow
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# transformers
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nvidia-cublas-cu11==11.10.3.66
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# via
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# nvidia-cudnn-cu11
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# torch
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nvidia-cuda-nvrtc-cu11==11.7.99
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# via torch
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nvidia-cuda-runtime-cu11==11.7.99
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# via torch
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nvidia-cudnn-cu11==8.5.0.96
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# via torch
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packaging==23.0
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# via
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# datasets
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# huggingface-hub
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# transformers
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pandas==1.5.3
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# via
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# -r requirements.in
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# datasets
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pathtools==0.1.2
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# via wandb
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protobuf==4.22.0
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# via wandb
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psutil==5.9.4
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# via wandb
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pyarrow==11.0.0
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# via datasets
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pysocks==1.7.1
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# via requests
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python-dateutil==2.8.2
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# via pandas
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pytz==2022.7.1
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108 |
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# via pandas
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pyyaml==6.0
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# via
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# datasets
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# huggingface-hub
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# transformers
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# wandb
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regex==2022.10.31
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# via transformers
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requests[socks]==2.28.2
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# via
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# datasets
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# fsspec
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# huggingface-hub
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# responses
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# snscrape
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# transformers
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# wandb
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responses==0.18.0
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# via datasets
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sentry-sdk==1.15.0
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# via wandb
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setproctitle==1.3.2
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# via wandb
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six==1.16.0
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# via
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# docker-pycreds
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# python-dateutil
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smmap==5.0.0
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# via gitdb
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snscrape==0.5.0.20230113
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# via -r requirements.in
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soupsieve==2.4
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# via beautifulsoup4
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tokenizers==0.13.2
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# via transformers
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torch==1.13.1
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# via -r requirements.in
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tqdm==4.64.1
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# via
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# datasets
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# huggingface-hub
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# transformers
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transformers==4.26.1
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# via -r requirements.in
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typing-extensions==4.5.0
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154 |
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# via
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# huggingface-hub
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# torch
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# wandb
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urllib3==1.26.14
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159 |
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# via
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# requests
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# responses
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# sentry-sdk
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wandb==0.13.10
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# via -r requirements.in
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wheel==0.38.4
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# via
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# nvidia-cublas-cu11
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# nvidia-cuda-runtime-cu11
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169 |
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xxhash==3.2.0
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170 |
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# via datasets
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yarl==1.8.2
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# via aiohttp
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# The following packages are considered to be unsafe in a requirements file:
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# setuptools
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