Initial commit
Browse files- .gitignore +162 -0
- .python-version +1 -0
- app.py +135 -0
- env.example +1 -0
- requirements-dev.txt +4 -0
- requirements.txt +3 -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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# 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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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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32 |
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*.manifest
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*.spec
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# Installer logs
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36 |
+
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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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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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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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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# 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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.envrc
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.python-version
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3.10.13
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app.py
ADDED
@@ -0,0 +1,135 @@
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import os
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import dotenv
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import gradio as gr # type: ignore
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from mistralai.client import MistralClient # type: ignore
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from mistralai.models.chat_completion import ChatMessage # type: ignore
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dotenv.load_dotenv()
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MISTRAL_API_KEY = os.environ.get("MISTRAL_API_KEY")
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TITLE = """<h1 align="center">MistralAI Playground 💬</h1>"""
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AVATAR_IMAGES = (None, "https://media.roboflow.com/spaces/gemini-icon.png")
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chatbot_component = gr.Chatbot(
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label="MistralAI", bubble_full_width=False, avatar_images=AVATAR_IMAGES, scale=2, height=400
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)
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text_prompt_component = gr.Textbox(placeholder="Hi there! [press Enter]", show_label=False, autofocus=True, scale=8)
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run_button_component = gr.Button(value="Run", variant="primary", scale=1)
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mistral_key_component = gr.Textbox(
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label="MISTRAL API KEY",
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value="",
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type="password",
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placeholder="...",
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info="You have to provide your own MISTRAL_API_KEY for this app to function properly",
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visible=MISTRAL_API_KEY is None,
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)
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model_component = gr.Dropdown(
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choices=["mistral-tiny", "mistral-small", "mistral-medium"],
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label="Model",
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value="mistral-small",
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scale=1,
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type="value",
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)
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temperature_component = gr.Slider(
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minimum=0,
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maximum=1.0,
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value=0.7,
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step=0.05,
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label="Temperature",
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info=(
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"What sampling temperature to use, between 0.0 and 1.0. "
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"Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic."
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"We generally recommend altering this or top_p but not both."
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),
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)
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user_inputs = [
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text_prompt_component,
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chatbot_component,
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]
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bot_inputs = [
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mistral_key_component,
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model_component,
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temperature_component,
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chatbot_component,
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]
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client: MistralClient = None
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def preprocess_chat_history(history):
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chat_history = []
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for human, assistant in history:
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if human:
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chat_history.append(ChatMessage(role="user", content=human))
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if assistant:
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chat_history.append(ChatMessage(role="assistant", content=assistant))
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return chat_history
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def bot(
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mistral_key: str | None,
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model: str,
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temperature: float,
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history,
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):
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if not history:
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return history
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mistral_key = mistral_key or MISTRAL_API_KEY
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if not mistral_key:
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raise ValueError("MISTRAL_API_KEY is not set. Please follow the instructions in the README to set it up.")
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global client
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if client is None:
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client = MistralClient(api_key=mistral_key) # TDOO: how to handle this if no GIL
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+
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chat_history = preprocess_chat_history(history)
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history[-1][1] = ""
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for chunk in client.chat_stream(model=model, messages=chat_history, temperature=temperature):
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print("chunk", chunk)
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if chunk.choices and chunk.choices[0].delta.content:
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history[-1][1] += chunk.choices[0].delta.content
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yield history
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+
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+
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def user(text_prompt: str, history):
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if text_prompt:
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history.append((text_prompt, None))
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return "", history
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+
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+
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with gr.Blocks() as demo:
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gr.HTML(TITLE)
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with gr.Column():
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mistral_key_component.render()
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chatbot_component.render()
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with gr.Row():
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text_prompt_component.render()
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run_button_component.render()
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with gr.Accordion("Parameters", open=False):
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model_component.render()
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temperature_component.render()
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run_button_component.click(
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fn=user, inputs=user_inputs, outputs=[text_prompt_component, chatbot_component], queue=False
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).then(
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fn=bot,
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inputs=bot_inputs,
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outputs=[chatbot_component],
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)
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text_prompt_component.submit(
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fn=user, inputs=user_inputs, outputs=[text_prompt_component, chatbot_component], queue=False
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).then(
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fn=bot,
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inputs=bot_inputs,
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outputs=[chatbot_component],
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)
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+
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+
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demo.queue(max_size=99).launch(debug=False, show_error=True)
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env.example
ADDED
@@ -0,0 +1 @@
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MISTRAL_API_KEY="<your-mistral-api-key>"
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requirements-dev.txt
ADDED
@@ -0,0 +1,4 @@
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mistralai==0.0.8
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gradio
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python-dotenv
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mypy
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requirements.txt
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mistralai==0.0.8
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gradio
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python-dotenv
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