Spaces:
Sleeping
Sleeping
youzarsiph
commited on
Commit
·
9addef6
1
Parent(s):
35b2fbd
initial setup
Browse files- .gitignore +132 -0
- README.md +1 -1
- app.py +35 -35
- requirements.txt +1 -1
.gitignore
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@@ -0,0 +1,132 @@
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# Static files css / js
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node_modules/
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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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# C extensions
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*.so
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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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pip-wheel-metadata/
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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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# 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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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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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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# 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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# Scrapy stuff:
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.scrapy
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+
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# Sphinx documentation
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docs/_build/
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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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.python-version
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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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# PEP 582; used by e.g. github.com/David-OConnor/pyflow
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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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README.md
CHANGED
@@ -1,5 +1,5 @@
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---
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title:
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emoji: 💬
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colorFrom: blue
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colorTo: purple
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---
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title: Star Coder 2 chat
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emoji: 💬
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colorFrom: blue
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colorTo: purple
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app.py
CHANGED
@@ -1,70 +1,70 @@
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"""
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For more information on `huggingface_hub` Inference API support,
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please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
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"""
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from typing import
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import gradio as gr
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from huggingface_hub import InferenceClient
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client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
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message: str,
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history:
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system_message: str,
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max_tokens: int,
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temperature: float,
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top_p: float,
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)
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messages = [{"role": "system", "content": system_message}]
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for val in history:
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if val[0]:
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messages.append({"role": "user", "content": val[0]})
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if val[1]:
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messages.append({"role": "assistant", "content": val[1]})
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messages.append({"role": "user", "content": message})
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for message in client.chat_completion(
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messages,
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max_tokens=max_tokens,
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stream=True,
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temperature=temperature,
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top_p=top_p,
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)
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token = message.choices[0].delta.content
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response += token
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yield response
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For information on how to customize the ChatInterface,
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peruse the gradio docs: https://www.gradio.app/docs/chatinterface
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"""
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additional_inputs=[
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gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
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gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
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gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
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gr.Slider(
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minimum=0.1,
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maximum=1.0,
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value=0.95,
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step=0.05,
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label="Top-p (nucleus sampling)",
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),
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],
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)
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if __name__ == "__main__":
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""" Star Coder2 chat demo """
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from typing import List, Tuple, Union
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import gradio as gr
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from huggingface_hub import InferenceClient
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# HF InferenceClient
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client = InferenceClient("HuggingFaceH4/starchat2-15b-v0.1")
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def chat(
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message: str,
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history: List[Tuple[str, str]],
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system_message: str,
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max_tokens: Union[int, None],
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temperature: Union[float, None],
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top_p: Union[float, None],
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):
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"""Code assistant"""
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# Chat history
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messages = [{"role": "system", "content": system_message}]
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for val in history:
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if val[0]:
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messages.append({"role": "user", "content": val[0]})
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if val[1]:
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messages.append({"role": "assistant", "content": val[1]})
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# Add user message
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messages.append({"role": "user", "content": message})
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llm_message = client.chat_completion(
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messages,
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max_tokens=max_tokens,
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temperature=temperature,
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top_p=top_p,
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)
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# Add chatbot message
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messages.append(
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{
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"role": "assistant",
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"content": llm_message.choices[0].message.content,
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}
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)
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yield llm_message.choices[0].message.content
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# UI
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star_coder = gr.ChatInterface(
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chat,
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title="Star Coder2",
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theme="soft",
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description="Star Coder 2 is a code assistant trained on 15B parameters and 100K lines of code. "
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"It is a powerful code assistant that can help you write and debug code, as well as explain code to others.",
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additional_inputs=[
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gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
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gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
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gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
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gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p"),
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],
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)
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if __name__ == "__main__":
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star_coder.launch()
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requirements.txt
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huggingface_hub==0.
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huggingface_hub==0.25.0
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