Alexandr "MrSteyk" German
commited on
Commit
•
a8edea3
1
Parent(s):
2e62897
init
Browse files- .gitignore +162 -0
- README.md +2 -1
- app.py +104 -0
- requirements.txt +5 -0
.gitignore
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# Byte-compiled / optimized / DLL files
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+
__pycache__/
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+
*.py[cod]
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+
*$py.class
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+
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# C extensions
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+
*.so
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+
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# Distribution / packaging
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+
.Python
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build/
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develop-eggs/
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+
dist/
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+
downloads/
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+
eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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+
wheels/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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+
MANIFEST
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+
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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32 |
+
*.manifest
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33 |
+
*.spec
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34 |
+
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+
# Installer logs
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36 |
+
pip-log.txt
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37 |
+
pip-delete-this-directory.txt
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38 |
+
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+
# Unit test / coverage reports
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40 |
+
htmlcov/
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+
.tox/
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+
.nox/
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+
.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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+
cover/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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+
local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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+
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+
# Scrapy stuff:
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.scrapy
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+
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# Sphinx documentation
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72 |
+
docs/_build/
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+
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# PyBuilder
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.pybuilder/
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target/
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# Jupyter Notebook
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+
.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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# For a library or package, you might want to ignore these files since the code is
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# intended to run in multiple environments; otherwise, check them in:
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# .python-version
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+
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# poetry
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# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
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# This is especially recommended for binary packages to ensure reproducibility, and is more
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# commonly ignored for libraries.
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# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
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#poetry.lock
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# pdm
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# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
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#pdm.lock
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# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
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# in version control.
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# https://pdm.fming.dev/#use-with-ide
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.pdm.toml
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# pytype static type analyzer
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.pytype/
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# Cython debug symbols
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cython_debug/
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# PyCharm
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# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
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# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
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# and can be added to the global gitignore or merged into this file. For a more nuclear
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# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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#.idea/
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*.safetensors
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README.md
CHANGED
@@ -1,10 +1,11 @@
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---
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-
title:
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emoji: 🐢
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colorFrom: purple
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colorTo: green
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sdk: gradio
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sdk_version: 3.18.0
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app_file: app.py
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pinned: false
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license: agpl-3.0
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---
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title: RWKV-rs 7b
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emoji: 🐢
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colorFrom: purple
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colorTo: green
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sdk: gradio
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sdk_version: 3.18.0
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python_version: 3.10
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app_file: app.py
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pinned: false
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license: agpl-3.0
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app.py
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import os
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import rwkv_rs
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import numpy as np
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import huggingface_hub
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import tokenizers
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import gradio as gr
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model_path = "./rnn.safetensors"
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if not os.path.exists(model_path):
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model_path = huggingface_hub.hf_hub_download(repo_id="mrsteyk/RWKV-LM-safetensors", filename="RWKV-4-Pile-7B-Instruct-test1-20230124.rnn.safetensors")
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assert model_path is not None
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model = rwkv_rs.Rwkv(model_path)
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tokenizer = tokenizers.Tokenizer.from_pretrained("EleutherAI/gpt-neox-20b")
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GT = [
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gr.Button.update(visible=False),
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gr.Button.update(visible=True),
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]
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GF = [
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gr.Button.update(visible=True),
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gr.Button.update(visible=False),
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]
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def complete_fn(inpt, max_tokens, min_tokens, alpha_f, alpha_p):
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try:
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state = rwkv_rs.State(model)
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text = inpt
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counts = [0]*tokenizer.get_vocab_size()
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tokens = tokenizer.encode(inpt).ids
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# yield ("Preproc...", gr.Text.update(visible=False))
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# logits = model.forward(tokens, state)
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for i in range(len(tokens) - 1):
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model.forward_token_preproc(tokens[i], state)
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yield (tokenizer.decode(tokens[:i + 1]), None)
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logits = model.forward_token(tokens, state)
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yield (text, None)
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max_tokens = int(max_tokens)
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for i in range(max_tokens):
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if i < min_tokens:
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logits[0] = -100
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for i in range(len(counts)):
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logits[i] -= (counts[i]* alpha_f) + (float(counts[i] > 0) * alpha_p)
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token = np.argmax(logits)
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counts[token] += 1
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if token == 0:
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break
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if i == max_tokens - 1:
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break
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tokens += [token]
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text = tokenizer.decode(tokens)
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yield (text, None)
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logits = model.forward_token(token, state)
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yield (text, None)
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except Exception as e:
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print(e)
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yield ("Error...", gr.Text.update(value=str(e), visible=True))
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# finally:
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# return (None, None)
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def generator_wrap(l, fn):
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def wrap(*args):
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last_i = list([None] * l)
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try:
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for i in fn(*args):
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last_i = list(i)
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yield last_i + GT
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finally:
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yield last_i + GF
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return wrap
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with gr.Blocks() as app:
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gr.Markdown(f"Running on `{model_path}`")
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error_box = gr.Text(label="Error", visible=False)
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with gr.Tab("Complete"):
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with gr.Row():
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inpt = gr.TextArea(label="Input")
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out = gr.TextArea(label="Output")
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complete = gr.Button("Complete", variant="primary")
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c_stop = gr.Button("Stop", variant="stop", visible=False)
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with gr.Tab("Insert (WIP)"):
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gr.Markdown("WIP, use `<|INSERT|>` to indicate a place to replace")
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with gr.Row():
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inpt_i = gr.TextArea(label="Input")
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out_i = gr.TextArea(label="Output")
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insert = gr.Button("Insert")
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with gr.Column():
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max_tokens = gr.Slider(label="Max Tokens", minimum=1, maximum=4096, step=1, value=767)
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min_tokens = gr.Slider(label="Min Tokens", minimum=0, maximum=4096, step=1)
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alpha_f = gr.Slider(label="Alpha Frequency", minimum=0, maximum=100, step=0.01)
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alpha_p = gr.Slider(label="Alpha Presence", minimum=0, maximum=100, step=0.01)
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G = [complete, c_stop]
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c = complete.click(generator_wrap(2, complete_fn), [inpt, max_tokens, min_tokens, alpha_f, alpha_p], [out, error_box] + G)
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c_stop.click(lambda: (complete.update(visible=True), c_stop.update(visible=False)), inputs=None, outputs=[complete, c_stop], cancels=[c], queue=False)
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app.queue()
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app.launch()
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requirements.txt
ADDED
@@ -0,0 +1,5 @@
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gradio==3.18.0
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huggingface_hub
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tokenizers
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numpy
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rwkv_rs>=0.2.0, <0.3.0
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