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Proyecto PerfectGPT completado
Browse files- HuggingFaceH4_zephyr-7b-alpha.ipynb +0 -0
- README.md +11 -0
- app.py +68 -0
- requirements.txt +493 -0
HuggingFaceH4_zephyr-7b-alpha.ipynb
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README.md
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@@ -11,3 +11,14 @@ license: unknown
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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---
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# 🗿 PerfectGPT v1 🗿
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En este proyecto, conocido como PerfectGPT, se han combinado dos de las tecnologías de procesamiento de lenguaje natural más avanzadas y poderosas para crear una experiencia de chat incomparable.
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PerfectGPT es un proyecto que aprovecha el potencial del generador de prompts "chatgpt-gpt4-prompts-bart-large-cnn-samsum" y el chat de texto "zephyr-7b-alpha" para revolucionar la forma en que las personas se comunican con sistemas de IA. La primera de estas tecnologías, basada en el impresionante modelo GPT-4, ofrece una capacidad excepcional para comprender y generar texto de manera coherente, contextual y precisa. Por otro lado, el chat de texto "zephyr-7b-alpha" proporciona una plataforma de conversación dinámica y fluida que permite una interacción humana más natural con la IA.
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A través de PerfectGPT, buscamos brindar a las empresas y usuarios individuales una solución de chat impulsada por la vanguardia de la inteligencia artificial. Este proyecto tiene como objetivo transformar la manera en que se llevan a cabo las conversaciones, tanto en el ámbito empresarial como en el cotidiano, haciendo que la interacción con sistemas de IA sea más efectiva, amigable y productiva. Al combinar estas dos tecnologías de IA de vanguardia, PerfectGPT promete abrir nuevas puertas en el mundo de la comunicación digital, allanando el camino para una interacción más perfecta y enriquecedora entre humanos y máquinas.
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app.py
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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from transformers import pipeline
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import torch
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import gradio as gr
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# chatgpt-gpt4-prompts-bart-large-cnn-samsum
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tokenizer = AutoTokenizer.from_pretrained(
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"Kaludi/chatgpt-gpt4-prompts-bart-large-cnn-samsum")
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model = AutoModelForSeq2SeqLM.from_pretrained(
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"Kaludi/chatgpt-gpt4-prompts-bart-large-cnn-samsum", from_tf=True)
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# zephyr
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pipe = pipeline("text-generation", model="HuggingFaceH4/zephyr-7b-alpha",
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torch_dtype=torch.bfloat16, device_map="auto")
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def useZephyr(prompt):
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messages = [
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{
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"role": "system",
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"content": "You are a friendly chatbot who always responds in the style of a pirate.",
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},
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{"role": "user", "content": prompt},
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]
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# https://huggingface.co/docs/transformers/main/en/chat_templating
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prompt = pipe.tokenizer.apply_chat_template(
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messages, tokenize=False, add_generation_prompt=True)
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print(prompt)
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outputs = pipe(prompt, max_new_tokens=256, do_sample=True,
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temperature=0.7, top_k=50, top_p=0.95)
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return outputs[0]["generated_text"]
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def generatePrompt(prompt, max_new_tokens):
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batch = tokenizer(prompt, return_tensors="pt")
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generated_ids = model.generate(
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batch["input_ids"], max_new_tokens=int(max_new_tokens))
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output = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)
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prompt = output[0]
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return useZephyr(prompt)
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def generate_test(prompt):
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batch = tokenizer(prompt, return_tensors="pt")
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generated_ids = model.generate(batch["input_ids"], max_new_tokens=150)
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output = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)
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return output[0]
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def generate_prompt(prompt, max_new_tokens):
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return generatePrompt(prompt, max_new_tokens)
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#
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# Interface
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input_prompt = gr.Textbox(label="Prompt", value="photographer")
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input_maxtokens = gr.Textbox(label="Max tokens", value="150")
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output_component = gr.Textbox(label="Output")
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examples = [["photographer"], ["developer"], ["teacher"], [
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"human resources staff"], ["recipe for ham croquettes"]]
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description = ""
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PerfectGPT = gr.Interface(useZephyr, inputs=[input_prompt, input_maxtokens], outputs=output_component,
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examples=examples, title="🗿 PerfectGPT v1 🗿", description=description).launch(share=True)
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PerfectGPT.launch()
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requirements.txt
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@@ -0,0 +1,493 @@
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1 |
+
absl-py==1.4.0
|
2 |
+
accelerate==0.24.1
|
3 |
+
aiofiles==23.2.1
|
4 |
+
aiohttp==3.8.6
|
5 |
+
aiosignal==1.3.1
|
6 |
+
alabaster==0.7.13
|
7 |
+
albumentations==1.3.1
|
8 |
+
altair==4.2.2
|
9 |
+
annotated-types==0.6.0
|
10 |
+
anyio==3.7.1
|
11 |
+
appdirs==1.4.4
|
12 |
+
argon2-cffi==23.1.0
|
13 |
+
argon2-cffi-bindings==21.2.0
|
14 |
+
array-record==0.5.0
|
15 |
+
arviz==0.15.1
|
16 |
+
astropy==5.3.4
|
17 |
+
astunparse==1.6.3
|
18 |
+
async-timeout==4.0.3
|
19 |
+
atpublic==4.0
|
20 |
+
attrs==23.1.0
|
21 |
+
audioread==3.0.1
|
22 |
+
autograd==1.6.2
|
23 |
+
Babel==2.13.1
|
24 |
+
backcall==0.2.0
|
25 |
+
beautifulsoup4==4.11.2
|
26 |
+
bidict==0.22.1
|
27 |
+
bigframes==0.10.0
|
28 |
+
bleach==6.1.0
|
29 |
+
blinker==1.4
|
30 |
+
blis==0.7.11
|
31 |
+
blosc2==2.0.0
|
32 |
+
bokeh==3.2.2
|
33 |
+
bqplot==0.12.42
|
34 |
+
branca==0.6.0
|
35 |
+
build==1.0.3
|
36 |
+
CacheControl==0.13.1
|
37 |
+
cachetools==5.3.2
|
38 |
+
catalogue==2.0.10
|
39 |
+
certifi==2023.7.22
|
40 |
+
cffi==1.16.0
|
41 |
+
chardet==5.2.0
|
42 |
+
charset-normalizer==3.3.1
|
43 |
+
chex==0.1.7
|
44 |
+
click==8.1.7
|
45 |
+
click-plugins==1.1.1
|
46 |
+
cligj==0.7.2
|
47 |
+
cloudpickle==2.2.1
|
48 |
+
cmake==3.27.7
|
49 |
+
cmdstanpy==1.2.0
|
50 |
+
colorama==0.4.6
|
51 |
+
colorcet==3.0.1
|
52 |
+
colorlover==0.3.0
|
53 |
+
colour==0.1.5
|
54 |
+
community==1.0.0b1
|
55 |
+
confection==0.1.3
|
56 |
+
cons==0.4.6
|
57 |
+
contextlib2==21.6.0
|
58 |
+
contourpy==1.1.1
|
59 |
+
cryptography==41.0.5
|
60 |
+
cufflinks==0.17.3
|
61 |
+
cupy-cuda11x==11.0.0
|
62 |
+
cvxopt==1.3.2
|
63 |
+
cvxpy==1.3.2
|
64 |
+
cycler==0.12.1
|
65 |
+
cymem==2.0.8
|
66 |
+
Cython==3.0.4
|
67 |
+
dask==2023.8.1
|
68 |
+
datascience==0.17.6
|
69 |
+
db-dtypes==1.1.1
|
70 |
+
dbus-python==1.2.18
|
71 |
+
debugpy==1.6.6
|
72 |
+
decorator==4.4.2
|
73 |
+
defusedxml==0.7.1
|
74 |
+
diffusers==0.21.4
|
75 |
+
diskcache==5.6.3
|
76 |
+
distributed==2023.8.1
|
77 |
+
distro==1.7.0
|
78 |
+
dlib==19.24.2
|
79 |
+
dm-tree==0.1.8
|
80 |
+
docutils==0.18.1
|
81 |
+
dopamine-rl==4.0.6
|
82 |
+
duckdb==0.8.1
|
83 |
+
earthengine-api==0.1.375
|
84 |
+
easydict==1.11
|
85 |
+
ecos==2.0.12
|
86 |
+
editdistance==0.6.2
|
87 |
+
eerepr==0.0.4
|
88 |
+
en-core-web-sm @ https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.6.0/en_core_web_sm-3.6.0-py3-none-any.whl#sha256=83276fc78a70045627144786b52e1f2728ad5e29e5e43916ec37ea9c26a11212
|
89 |
+
entrypoints==0.4
|
90 |
+
et-xmlfile==1.1.0
|
91 |
+
etils==1.5.2
|
92 |
+
etuples==0.3.9
|
93 |
+
exceptiongroup==1.1.3
|
94 |
+
fastai==2.7.13
|
95 |
+
fastapi==0.104.1
|
96 |
+
fastcore==1.5.29
|
97 |
+
fastdownload==0.0.7
|
98 |
+
fastjsonschema==2.18.1
|
99 |
+
fastprogress==1.0.3
|
100 |
+
fastrlock==0.8.2
|
101 |
+
ffmpy==0.3.1
|
102 |
+
filelock==3.12.4
|
103 |
+
fiona==1.9.5
|
104 |
+
firebase-admin==5.3.0
|
105 |
+
Flask==2.2.5
|
106 |
+
flatbuffers==23.5.26
|
107 |
+
flax==0.7.4
|
108 |
+
folium==0.14.0
|
109 |
+
fonttools==4.43.1
|
110 |
+
frozendict==2.3.8
|
111 |
+
frozenlist==1.4.0
|
112 |
+
fsspec==2023.6.0
|
113 |
+
future==0.18.3
|
114 |
+
gast==0.5.4
|
115 |
+
gcsfs==2023.6.0
|
116 |
+
GDAL==3.4.3
|
117 |
+
gdown==4.6.6
|
118 |
+
geemap==0.28.2
|
119 |
+
gensim==4.3.2
|
120 |
+
geocoder==1.38.1
|
121 |
+
geographiclib==2.0
|
122 |
+
geopandas==0.13.2
|
123 |
+
geopy==2.3.0
|
124 |
+
gin-config==0.5.0
|
125 |
+
glob2==0.7
|
126 |
+
google==2.0.3
|
127 |
+
google-api-core==2.11.1
|
128 |
+
google-api-python-client==2.84.0
|
129 |
+
google-auth==2.17.3
|
130 |
+
google-auth-httplib2==0.1.1
|
131 |
+
google-auth-oauthlib==1.0.0
|
132 |
+
google-cloud-bigquery==3.12.0
|
133 |
+
google-cloud-bigquery-connection==1.12.1
|
134 |
+
google-cloud-bigquery-storage==2.22.0
|
135 |
+
google-cloud-core==2.3.3
|
136 |
+
google-cloud-datastore==2.15.2
|
137 |
+
google-cloud-firestore==2.11.1
|
138 |
+
google-cloud-functions==1.13.3
|
139 |
+
google-cloud-iam==2.12.2
|
140 |
+
google-cloud-language==2.9.1
|
141 |
+
google-cloud-resource-manager==1.10.4
|
142 |
+
google-cloud-storage==2.8.0
|
143 |
+
google-cloud-translate==3.11.3
|
144 |
+
google-colab @ file:///colabtools/dist/google-colab-1.0.0.tar.gz#sha256=95e690978fd5495b56acc57f0cc42fe20c1b49c53fc0ebd594295faa0971d055
|
145 |
+
google-crc32c==1.5.0
|
146 |
+
google-pasta==0.2.0
|
147 |
+
google-resumable-media==2.6.0
|
148 |
+
googleapis-common-protos==1.61.0
|
149 |
+
googledrivedownloader==0.4
|
150 |
+
gradio==4.0.2
|
151 |
+
gradio_client==0.7.0
|
152 |
+
graphviz==0.20.1
|
153 |
+
greenlet==3.0.0
|
154 |
+
grpc-google-iam-v1==0.12.6
|
155 |
+
grpcio==1.59.0
|
156 |
+
grpcio-status==1.48.2
|
157 |
+
gspread==3.4.2
|
158 |
+
gspread-dataframe==3.3.1
|
159 |
+
gym==0.25.2
|
160 |
+
gym-notices==0.0.8
|
161 |
+
h11==0.14.0
|
162 |
+
h5netcdf==1.2.0
|
163 |
+
h5py==3.9.0
|
164 |
+
holidays==0.35
|
165 |
+
holoviews==1.17.1
|
166 |
+
html5lib==1.1
|
167 |
+
httpcore==0.18.0
|
168 |
+
httpimport==1.3.1
|
169 |
+
httplib2==0.22.0
|
170 |
+
httpx==0.25.0
|
171 |
+
huggingface-hub==0.17.3
|
172 |
+
humanize==4.7.0
|
173 |
+
hyperopt==0.2.7
|
174 |
+
ibis-framework==6.2.0
|
175 |
+
idna==3.4
|
176 |
+
imageio==2.31.6
|
177 |
+
imageio-ffmpeg==0.4.9
|
178 |
+
imagesize==1.4.1
|
179 |
+
imbalanced-learn==0.10.1
|
180 |
+
imgaug==0.4.0
|
181 |
+
importlib-metadata==6.8.0
|
182 |
+
importlib-resources==6.1.0
|
183 |
+
imutils==0.5.4
|
184 |
+
inflect==7.0.0
|
185 |
+
iniconfig==2.0.0
|
186 |
+
install==1.3.5
|
187 |
+
intel-openmp==2023.2.0
|
188 |
+
ipyevents==2.0.2
|
189 |
+
ipyfilechooser==0.6.0
|
190 |
+
ipykernel==5.5.6
|
191 |
+
ipyleaflet==0.17.4
|
192 |
+
ipython==7.34.0
|
193 |
+
ipython-genutils==0.2.0
|
194 |
+
ipython-sql==0.5.0
|
195 |
+
ipytree==0.2.2
|
196 |
+
ipywidgets==7.7.1
|
197 |
+
itsdangerous==2.1.2
|
198 |
+
jax==0.4.16
|
199 |
+
jaxlib @ https://storage.googleapis.com/jax-releases/cuda11/jaxlib-0.4.16+cuda11.cudnn86-cp310-cp310-manylinux2014_x86_64.whl#sha256=78b3a9acfda4bfaae8a1dc112995d56454020f5c02dba4d24c40c906332efd4a
|
200 |
+
jeepney==0.7.1
|
201 |
+
jieba==0.42.1
|
202 |
+
Jinja2==3.1.2
|
203 |
+
joblib==1.3.2
|
204 |
+
jsonpickle==3.0.2
|
205 |
+
jsonschema==4.19.1
|
206 |
+
jsonschema-specifications==2023.7.1
|
207 |
+
jupyter-client==6.1.12
|
208 |
+
jupyter-console==6.1.0
|
209 |
+
jupyter-server==1.24.0
|
210 |
+
jupyter_core==5.4.0
|
211 |
+
jupyterlab-pygments==0.2.2
|
212 |
+
jupyterlab-widgets==3.0.9
|
213 |
+
kaggle==1.5.16
|
214 |
+
keras==2.14.0
|
215 |
+
keyring==23.5.0
|
216 |
+
kiwisolver==1.4.5
|
217 |
+
langcodes==3.3.0
|
218 |
+
launchpadlib==1.10.16
|
219 |
+
lazr.restfulclient==0.14.4
|
220 |
+
lazr.uri==1.0.6
|
221 |
+
lazy_loader==0.3
|
222 |
+
libclang==16.0.6
|
223 |
+
librosa==0.10.1
|
224 |
+
lida==0.0.10
|
225 |
+
lightgbm==4.1.0
|
226 |
+
linkify-it-py==2.0.2
|
227 |
+
llmx==0.0.15a0
|
228 |
+
llvmlite==0.39.1
|
229 |
+
locket==1.0.0
|
230 |
+
logical-unification==0.4.6
|
231 |
+
lxml==4.9.3
|
232 |
+
malloy==2023.1058
|
233 |
+
Markdown==3.5
|
234 |
+
markdown-it-py==3.0.0
|
235 |
+
MarkupSafe==2.1.3
|
236 |
+
matplotlib==3.7.1
|
237 |
+
matplotlib-inline==0.1.6
|
238 |
+
matplotlib-venn==0.11.9
|
239 |
+
mdit-py-plugins==0.4.0
|
240 |
+
mdurl==0.1.2
|
241 |
+
miniKanren==1.0.3
|
242 |
+
missingno==0.5.2
|
243 |
+
mistune==0.8.4
|
244 |
+
mizani==0.9.3
|
245 |
+
mkl==2023.2.0
|
246 |
+
ml-dtypes==0.2.0
|
247 |
+
mlxtend==0.22.0
|
248 |
+
more-itertools==10.1.0
|
249 |
+
moviepy==1.0.3
|
250 |
+
mpmath==1.3.0
|
251 |
+
msgpack==1.0.7
|
252 |
+
multidict==6.0.4
|
253 |
+
multipledispatch==1.0.0
|
254 |
+
multitasking==0.0.11
|
255 |
+
murmurhash==1.0.10
|
256 |
+
music21==9.1.0
|
257 |
+
natsort==8.4.0
|
258 |
+
nbclassic==1.0.0
|
259 |
+
nbclient==0.8.0
|
260 |
+
nbconvert==6.5.4
|
261 |
+
nbformat==5.9.2
|
262 |
+
nest-asyncio==1.5.8
|
263 |
+
networkx==3.2
|
264 |
+
nibabel==4.0.2
|
265 |
+
nltk==3.8.1
|
266 |
+
notebook==6.5.5
|
267 |
+
notebook_shim==0.2.3
|
268 |
+
numba==0.56.4
|
269 |
+
numexpr==2.8.7
|
270 |
+
numpy==1.23.5
|
271 |
+
oauth2client==4.1.3
|
272 |
+
oauthlib==3.2.2
|
273 |
+
opencv-contrib-python==4.8.0.76
|
274 |
+
opencv-python==4.8.0.76
|
275 |
+
opencv-python-headless==4.8.1.78
|
276 |
+
openpyxl==3.1.2
|
277 |
+
opt-einsum==3.3.0
|
278 |
+
optax==0.1.7
|
279 |
+
orbax-checkpoint==0.4.1
|
280 |
+
orjson==3.9.10
|
281 |
+
osqp==0.6.2.post8
|
282 |
+
packaging==23.2
|
283 |
+
pandas==1.5.3
|
284 |
+
pandas-datareader==0.10.0
|
285 |
+
pandas-gbq==0.17.9
|
286 |
+
pandas-stubs==1.5.3.230304
|
287 |
+
pandocfilters==1.5.0
|
288 |
+
panel==1.3.0
|
289 |
+
param==2.0.0
|
290 |
+
parso==0.8.3
|
291 |
+
parsy==2.1
|
292 |
+
partd==1.4.1
|
293 |
+
pathlib==1.0.1
|
294 |
+
pathy==0.10.3
|
295 |
+
patsy==0.5.3
|
296 |
+
peewee==3.17.0
|
297 |
+
pexpect==4.8.0
|
298 |
+
pickleshare==0.7.5
|
299 |
+
Pillow==9.4.0
|
300 |
+
pip-tools==6.13.0
|
301 |
+
platformdirs==3.11.0
|
302 |
+
plotly==5.15.0
|
303 |
+
plotnine==0.12.3
|
304 |
+
pluggy==1.3.0
|
305 |
+
polars==0.17.3
|
306 |
+
pooch==1.8.0
|
307 |
+
portpicker==1.5.2
|
308 |
+
prefetch-generator==1.0.3
|
309 |
+
preshed==3.0.9
|
310 |
+
prettytable==3.9.0
|
311 |
+
proglog==0.1.10
|
312 |
+
progressbar2==4.2.0
|
313 |
+
prometheus-client==0.17.1
|
314 |
+
promise==2.3
|
315 |
+
prompt-toolkit==3.0.39
|
316 |
+
prophet==1.1.5
|
317 |
+
proto-plus==1.22.3
|
318 |
+
protobuf==3.20.3
|
319 |
+
psutil==5.9.5
|
320 |
+
psycopg2==2.9.9
|
321 |
+
ptyprocess==0.7.0
|
322 |
+
py-cpuinfo==9.0.0
|
323 |
+
py4j==0.10.9.7
|
324 |
+
pyarrow==9.0.0
|
325 |
+
pyasn1==0.5.0
|
326 |
+
pyasn1-modules==0.3.0
|
327 |
+
pycocotools==2.0.7
|
328 |
+
pycparser==2.21
|
329 |
+
pyct==0.5.0
|
330 |
+
pydantic==2.4.2
|
331 |
+
pydantic_core==2.10.1
|
332 |
+
pydata-google-auth==1.8.2
|
333 |
+
pydot==1.4.2
|
334 |
+
pydot-ng==2.0.0
|
335 |
+
pydotplus==2.0.2
|
336 |
+
PyDrive==1.3.1
|
337 |
+
PyDrive2==1.6.3
|
338 |
+
pydub==0.25.1
|
339 |
+
pyerfa==2.0.1.1
|
340 |
+
pygame==2.5.2
|
341 |
+
Pygments==2.16.1
|
342 |
+
PyGObject==3.42.1
|
343 |
+
PyJWT==2.3.0
|
344 |
+
pymc==5.7.2
|
345 |
+
pymystem3==0.2.0
|
346 |
+
PyOpenGL==3.1.7
|
347 |
+
pyOpenSSL==23.2.0
|
348 |
+
pyparsing==3.1.1
|
349 |
+
pyperclip==1.8.2
|
350 |
+
pyproj==3.6.1
|
351 |
+
pyproject_hooks==1.0.0
|
352 |
+
pyshp==2.3.1
|
353 |
+
PySocks==1.7.1
|
354 |
+
pytensor==2.14.2
|
355 |
+
pytest==7.4.3
|
356 |
+
python-apt==0.0.0
|
357 |
+
python-box==7.1.1
|
358 |
+
python-dateutil==2.8.2
|
359 |
+
python-louvain==0.16
|
360 |
+
python-multipart==0.0.6
|
361 |
+
python-slugify==8.0.1
|
362 |
+
python-utils==3.8.1
|
363 |
+
pytz==2023.3.post1
|
364 |
+
pyviz_comms==3.0.0
|
365 |
+
PyWavelets==1.4.1
|
366 |
+
PyYAML==6.0.1
|
367 |
+
pyzmq==23.2.1
|
368 |
+
qdldl==0.1.7.post0
|
369 |
+
qudida==0.0.4
|
370 |
+
ratelim==0.1.6
|
371 |
+
referencing==0.30.2
|
372 |
+
regex==2023.6.3
|
373 |
+
requests==2.31.0
|
374 |
+
requests-oauthlib==1.3.1
|
375 |
+
requirements-parser==0.5.0
|
376 |
+
rich==13.6.0
|
377 |
+
rpds-py==0.10.6
|
378 |
+
rpy2==3.4.2
|
379 |
+
rsa==4.9
|
380 |
+
safetensors==0.4.0
|
381 |
+
scikit-image==0.19.3
|
382 |
+
scikit-learn==1.2.2
|
383 |
+
scipy==1.11.3
|
384 |
+
scooby==0.9.2
|
385 |
+
scs==3.2.3
|
386 |
+
seaborn==0.12.2
|
387 |
+
SecretStorage==3.3.1
|
388 |
+
semantic-version==2.10.0
|
389 |
+
Send2Trash==1.8.2
|
390 |
+
shapely==2.0.2
|
391 |
+
shellingham==1.5.4
|
392 |
+
six==1.16.0
|
393 |
+
sklearn-pandas==2.2.0
|
394 |
+
smart-open==6.4.0
|
395 |
+
sniffio==1.3.0
|
396 |
+
snowballstemmer==2.2.0
|
397 |
+
sortedcontainers==2.4.0
|
398 |
+
soundfile==0.12.1
|
399 |
+
soupsieve==2.5
|
400 |
+
soxr==0.3.7
|
401 |
+
spacy==3.6.1
|
402 |
+
spacy-legacy==3.0.12
|
403 |
+
spacy-loggers==1.0.5
|
404 |
+
Sphinx==5.0.2
|
405 |
+
sphinxcontrib-applehelp==1.0.7
|
406 |
+
sphinxcontrib-devhelp==1.0.5
|
407 |
+
sphinxcontrib-htmlhelp==2.0.4
|
408 |
+
sphinxcontrib-jsmath==1.0.1
|
409 |
+
sphinxcontrib-qthelp==1.0.6
|
410 |
+
sphinxcontrib-serializinghtml==1.1.9
|
411 |
+
SQLAlchemy==2.0.22
|
412 |
+
sqlglot==17.16.2
|
413 |
+
sqlparse==0.4.4
|
414 |
+
srsly==2.4.8
|
415 |
+
stanio==0.3.0
|
416 |
+
starlette==0.27.0
|
417 |
+
statsmodels==0.14.0
|
418 |
+
sympy==1.12
|
419 |
+
tables==3.8.0
|
420 |
+
tabulate==0.9.0
|
421 |
+
tbb==2021.10.0
|
422 |
+
tblib==3.0.0
|
423 |
+
tenacity==8.2.3
|
424 |
+
tensorboard==2.14.1
|
425 |
+
tensorboard-data-server==0.7.2
|
426 |
+
tensorflow==2.14.0
|
427 |
+
tensorflow-datasets==4.9.3
|
428 |
+
tensorflow-estimator==2.14.0
|
429 |
+
tensorflow-gcs-config==2.14.0
|
430 |
+
tensorflow-hub==0.15.0
|
431 |
+
tensorflow-io-gcs-filesystem==0.34.0
|
432 |
+
tensorflow-metadata==1.14.0
|
433 |
+
tensorflow-probability==0.22.0
|
434 |
+
tensorstore==0.1.45
|
435 |
+
termcolor==2.3.0
|
436 |
+
terminado==0.17.1
|
437 |
+
text-unidecode==1.3
|
438 |
+
textblob==0.17.1
|
439 |
+
tf-slim==1.1.0
|
440 |
+
thinc==8.1.12
|
441 |
+
threadpoolctl==3.2.0
|
442 |
+
tifffile==2023.9.26
|
443 |
+
tinycss2==1.2.1
|
444 |
+
tokenizers==0.14.1
|
445 |
+
toml==0.10.2
|
446 |
+
tomli==2.0.1
|
447 |
+
tomlkit==0.12.0
|
448 |
+
toolz==0.12.0
|
449 |
+
torch @ https://download.pytorch.org/whl/cu118/torch-2.1.0%2Bcu118-cp310-cp310-linux_x86_64.whl#sha256=a81b554184492005543ddc32e96469f9369d778dedd195d73bda9bed407d6589
|
450 |
+
torchaudio @ https://download.pytorch.org/whl/cu118/torchaudio-2.1.0%2Bcu118-cp310-cp310-linux_x86_64.whl#sha256=cdfd0a129406155eee595f408cafbb92589652da4090d1d2040f5453d4cae71f
|
451 |
+
torchdata==0.7.0
|
452 |
+
torchsummary==1.5.1
|
453 |
+
torchtext==0.16.0
|
454 |
+
torchvision @ https://download.pytorch.org/whl/cu118/torchvision-0.16.0%2Bcu118-cp310-cp310-linux_x86_64.whl#sha256=033712f65d45afe806676c4129dfe601ad1321d9e092df62b15847c02d4061dc
|
455 |
+
tornado==6.3.2
|
456 |
+
tqdm==4.66.1
|
457 |
+
traitlets==5.7.1
|
458 |
+
traittypes==0.2.1
|
459 |
+
transformers @ git+https://github.com/huggingface/transformers@011b15c1c75a575fcaee5a50de02ff316881816a
|
460 |
+
triton==2.1.0
|
461 |
+
tweepy==4.13.0
|
462 |
+
typer==0.9.0
|
463 |
+
types-pytz==2023.3.1.1
|
464 |
+
types-setuptools==68.2.0.0
|
465 |
+
typing_extensions==4.8.0
|
466 |
+
tzlocal==5.2
|
467 |
+
uc-micro-py==1.0.2
|
468 |
+
uritemplate==4.1.1
|
469 |
+
urllib3==2.0.7
|
470 |
+
uvicorn==0.23.2
|
471 |
+
vega-datasets==0.9.0
|
472 |
+
wadllib==1.3.6
|
473 |
+
wasabi==1.1.2
|
474 |
+
wcwidth==0.2.8
|
475 |
+
webcolors==1.13
|
476 |
+
webencodings==0.5.1
|
477 |
+
websocket-client==1.6.4
|
478 |
+
websockets==11.0.3
|
479 |
+
Werkzeug==3.0.1
|
480 |
+
widgetsnbextension==3.6.6
|
481 |
+
wordcloud==1.9.2
|
482 |
+
wrapt==1.14.1
|
483 |
+
xarray==2023.7.0
|
484 |
+
xarray-einstats==0.6.0
|
485 |
+
xgboost==2.0.1
|
486 |
+
xlrd==2.0.1
|
487 |
+
xxhash==3.4.1
|
488 |
+
xyzservices==2023.10.0
|
489 |
+
yarl==1.9.2
|
490 |
+
yellowbrick==1.5
|
491 |
+
yfinance==0.2.31
|
492 |
+
zict==3.0.0
|
493 |
+
zipp==3.17.0
|