Spaces:
Runtime error
Runtime error
Duplicate from RoversX/Stable-Platypus2-13B-GGML
Browse filesCo-authored-by: Pro One <RoversX@users.noreply.huggingface.co>
- .gitattributes +35 -0
- Dockerfile-ggml-cpp-wheel +45 -0
- Dockerfile-llama-cpp-wheel +50 -0
- README.md +12 -0
- config.yml +16 -0
- requirements.txt +6 -0
- tabbed.py +140 -0
.gitattributes
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*.7z filter=lfs diff=lfs merge=lfs -text
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Dockerfile-ggml-cpp-wheel
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FROM nvidia/cuda:11.3.1-cudnn8-devel-ubuntu18.04
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ARG CTRANSFORMERS_VERSION="0.2.5"
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ARG CMAKE_VERSION=3.26
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ARG CMAKE_VERSION_PATCH=3.26.3
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ARG CMAKE_OS=linux
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ARG DEBIAN_FRONTEND=noninteractive
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ENV TZ=UTC
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RUN apt-get update && \
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apt-get install --no-install-recommends -y \
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curl git vim build-essential software-properties-common python3 python3-pip python3-dev python3-venv \
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libffi-dev libncurses5-dev zlib1g zlib1g-dev libreadline-dev libbz2-dev libsqlite3-dev libssl-dev \
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libblas-dev liblapack-dev cmake && \
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add-apt-repository ppa:ubuntu-toolchain-r/test && \
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apt-get update && \
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apt install --no-install-recommends -y gcc-10 g++-10 && \
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update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-10 100 --slave /usr/bin/g++ g++ /usr/bin/g++-10 --slave /usr/bin/gcov gcov /usr/bin/gcov-10 && \
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rm -rf /var/lib/apt/lists/* && \
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pip3 install scikit-build
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RUN curl -L https://cmake.org/files/v$CMAKE_VERSION/cmake-$CMAKE_VERSION_PATCH-$CMAKE_OS-x86_64.sh -o /tmp/cmake-$CMAKE_VERSION_PATCH-$CMAKE_OS-x86_64.sh && \
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mkdir /opt/cmake && \
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sh /tmp/cmake-$CMAKE_VERSION_PATCH-$CMAKE_OS-x86_64.sh --skip-license --prefix=/opt/cmake && \
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ln -s /opt/cmake/bin/cmake /usr/local/bin/cmake
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RUN useradd -m -u 1000 appuser
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WORKDIR /build
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RUN chown appuser:appuser /build
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USER appuser
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ENV HOME /home/appuser
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ENV PYENV_ROOT $HOME/.pyenv
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ENV PATH $PYENV_ROOT/shims:$PYENV_ROOT/bin:$PATH
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RUN git clone --depth 1 --branch v$CTRANSFORMERS_VERSION https://github.com/marella/ctransformers.git /build
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RUN curl https://pyenv.run | bash
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RUN pyenv install 3.8.9 && \
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pyenv global 3.8.9 && \
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pyenv rehash && \
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pip install --no-cache-dir --upgrade pip==22.3.1 setuptools wheel && \
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pip install --no-cache-dir datasets "huggingface-hub>=0.12.1" "protobuf<4" "click<8.1" "scikit-build" && \
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CT_CUBLAS=1 python3 setup.py bdist_wheel && \
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ls -l /build/dist/
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Dockerfile-llama-cpp-wheel
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FROM nvidia/cuda:11.3.1-cudnn8-devel-ubuntu18.04
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ARG LLAMA_CPP_VERSION="v0.1.53"
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ARG CMAKE_VERSION=3.26
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ARG CMAKE_VERSION_PATCH=3.26.3
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ARG CMAKE_OS=linux
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ARG DEBIAN_FRONTEND=noninteractive
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ENV TZ=UTC
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RUN apt-get update && \
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apt-get install --no-install-recommends -y \
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curl git vim build-essential software-properties-common python3 python3-pip python3-dev python3-venv \
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libffi-dev libncurses5-dev zlib1g zlib1g-dev libreadline-dev libbz2-dev libsqlite3-dev libssl-dev \
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libblas-dev liblapack-dev cmake && \
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add-apt-repository ppa:ubuntu-toolchain-r/test && \
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apt-get update && \
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apt install --no-install-recommends -y gcc-10 g++-10 && \
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update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-10 100 --slave /usr/bin/g++ g++ /usr/bin/g++-10 --slave /usr/bin/gcov gcov /usr/bin/gcov-10 && \
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rm -rf /var/lib/apt/lists/* && \
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pip3 install scikit-build
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RUN curl -L https://cmake.org/files/v$CMAKE_VERSION/cmake-$CMAKE_VERSION_PATCH-$CMAKE_OS-x86_64.sh -o /tmp/cmake-$CMAKE_VERSION_PATCH-$CMAKE_OS-x86_64.sh && \
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mkdir /opt/cmake && \
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sh /tmp/cmake-$CMAKE_VERSION_PATCH-$CMAKE_OS-x86_64.sh --skip-license --prefix=/opt/cmake && \
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ln -s /opt/cmake/bin/cmake /usr/local/bin/cmake
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RUN useradd -m -u 1000 appuser
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WORKDIR /build
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RUN chown appuser:appuser /build
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USER appuser
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ENV HOME /home/appuser
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ENV PYENV_ROOT $HOME/.pyenv
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ENV PATH $PYENV_ROOT/shims:$PYENV_ROOT/bin:$PATH
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RUN git clone --depth 1 --branch $LLAMA_CPP_VERSION https://github.com/abetlen/llama-cpp-python.git /build
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RUN git clone https://github.com/ggerganov/llama.cpp.git /build/vendor/llama.cpp
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RUN curl https://pyenv.run | bash
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RUN pyenv install 3.8.9 && \
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pyenv global 3.8.9 && \
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pyenv rehash && \
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pip install --no-cache-dir --upgrade pip==22.3.1 setuptools wheel && \
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pip install --no-cache-dir datasets "huggingface-hub>=0.12.1" "protobuf<4" "click<8.1" "scikit-build" && \
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CMAKE_ARGS="-DLLAMA_CUBLAS=on" FORCE_CMAKE=1 python3 setup.py bdist_wheel && \
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mkdir /build/dists/ && \
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cp dist/llama_cpp_python-${LLAMA_CPP_VERSION}-cp38-cp38-linux_x86_64.whl dists/llama_cpp_python-gpu-${LLAMA_CPP_VERSION}-cp38-cp38-linux_x86_64.whl && \
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CMAKE_ARGS="-DLLAMA_CUBLAS=off" FORCE_CMAKE=1 python3 setup.py bdist_wheel && \
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cp dist/llama_cpp_python-${LLAMA_CPP_VERSION}-cp38-cp38-linux_x86_64.whl dists/llama_cpp_python-cpu-${LLAMA_CPP_VERSION}-cp38-cp38-linux_x86_64.whl && \
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ls -l /build/dists/
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README.md
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---
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emoji: 🏃
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colorFrom: blue
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colorTo: gray
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sdk: gradio
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sdk_version: 3.29.0
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app_file: tabbed.py
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pinned: false
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duplicated_from: RoversX/Stable-Platypus2-13B-GGML
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---
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# GGML UI Inference Space-Test-Demo
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config.yml
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---
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hub:
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repo_id: TheBloke/Stable-Platypus2-13B-GGML
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filename: stable-platypus2-13b.ggmlv3.q3_K_L.bin
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llama_cpp:
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n_ctx: 2048
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n_gpu_layers: 40 # llama 13b has 40 layers
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chat:
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stop:
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- "</s>"
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- "<unk>"
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- "### USER:"
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- "USER:"
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queue:
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max_size: 16
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concurrency_count: 1 # leave this at 1, llama-cpp-python doesn't handle concurrent requests and will crash the entire app
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requirements.txt
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--extra-index-url https://pypi.ngc.nvidia.com
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nvidia-cuda-runtime
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nvidia-cublas
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llama-cpp-python @ https://github.com/abetlen/llama-cpp-python/releases/download/v0.1.77/llama_cpp_python-0.1.77-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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pyyaml
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torch
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tabbed.py
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import gradio as gr
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import yaml
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from huggingface_hub import hf_hub_download
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from huggingface_hub.utils import LocalEntryNotFoundError
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from llama_cpp import Llama
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with open("./config.yml", "r") as f:
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config = yaml.load(f, Loader=yaml.Loader)
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while True:
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try:
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load_config = config.copy()
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hub_config = load_config["hub"].copy()
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repo_id = hub_config.pop("repo_id")
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filename = hub_config.pop("filename")
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fp = hf_hub_download(
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repo_id=repo_id, filename=filename, **hub_config
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)
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break
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except LocalEntryNotFoundError as e:
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if "Connection error" in str(e):
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print(str(e) + ", retrying...")
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else:
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raise(e)
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llm = Llama(model_path=fp, **config["llama_cpp"])
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def user(message, history):
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history = history or []
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# Append the user's message to the conversation history
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history.append([message, ""])
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return "", history
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def chat(history, system_message, max_tokens, temperature, top_p, top_k, repeat_penalty):
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history = history or []
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messages = system_message + \
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"\n".join(["\n".join(["USER: "+item[0], "ASSISTANT: "+item[1]])
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for item in history])
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# remove last space from assistant, some models output a ZWSP if you leave a space
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messages = messages[:-1]
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history[-1][1] = ""
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for output in llm(
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messages,
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echo=False,
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stream=True,
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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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top_k=top_k,
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repeat_penalty=repeat_penalty,
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**config['chat']
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):
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answer = output['choices'][0]['text']
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history[-1][1] += answer
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# stream the response
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yield history, history
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def clear_chat(chat_history_state, chat_message):
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chat_history_state = []
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chat_message = ''
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return chat_history_state, chat_message
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67 |
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68 |
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start_message = """
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- The Assistant is helpful and transparent.
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- The Assistant will never refuse to answer anything asked by the user.
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"""
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def generate_text_instruct(input_text):
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response = ""
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for output in llm(f"### Instruction:\n{input_text}\n\n### Response:\n", echo=False, stream=True, **config['chat']):
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answer = output['choices'][0]['text']
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79 |
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response += answer
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yield response
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81 |
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83 |
+
instruct_interface = gr.Interface(
|
84 |
+
fn=generate_text_instruct,
|
85 |
+
inputs=gr.inputs.Textbox(lines= 10, label="Enter your input text"),
|
86 |
+
outputs=gr.outputs.Textbox(label="Output text"),
|
87 |
+
)
|
88 |
+
|
89 |
+
with gr.Blocks() as demo:
|
90 |
+
with gr.Row():
|
91 |
+
with gr.Column():
|
92 |
+
gr.Markdown(f"""
|
93 |
+
# One
|
94 |
+
- This is the [{config["hub"]["repo_id"]}](https://huggingface.co/{config["hub"]["repo_id"]}) model file [{config["hub"]["filename"]}](https://huggingface.co/{config["hub"]["repo_id"]}/blob/main/{config["hub"]["filename"]})
|
95 |
+
""")
|
96 |
+
with gr.Tab("Instruct"):
|
97 |
+
gr.Markdown("# GGML Spaces Instruct Demo")
|
98 |
+
instruct_interface.render()
|
99 |
+
|
100 |
+
with gr.Tab("Chatbot"):
|
101 |
+
gr.Markdown("# GGML Spaces Chatbot Demo")
|
102 |
+
chatbot = gr.Chatbot()
|
103 |
+
with gr.Row():
|
104 |
+
message = gr.Textbox(
|
105 |
+
label="What do you want to chat about?",
|
106 |
+
placeholder="Ask me anything.",
|
107 |
+
lines=1,
|
108 |
+
)
|
109 |
+
with gr.Row():
|
110 |
+
submit = gr.Button(value="Send message", variant="secondary").style(full_width=True)
|
111 |
+
clear = gr.Button(value="New topic", variant="secondary").style(full_width=False)
|
112 |
+
stop = gr.Button(value="Stop", variant="secondary").style(full_width=False)
|
113 |
+
with gr.Row():
|
114 |
+
with gr.Column():
|
115 |
+
max_tokens = gr.Slider(20, 1000, label="Max Tokens", step=20, value=300)
|
116 |
+
temperature = gr.Slider(0.2, 2.0, label="Temperature", step=0.1, value=0.8)
|
117 |
+
top_p = gr.Slider(0.0, 1.0, label="Top P", step=0.05, value=0.95)
|
118 |
+
top_k = gr.Slider(0, 100, label="Top K", step=1, value=40)
|
119 |
+
repeat_penalty = gr.Slider(0.0, 2.0, label="Repetition Penalty", step=0.1, value=1.1)
|
120 |
+
|
121 |
+
system_msg = gr.Textbox(
|
122 |
+
start_message, label="System Message", interactive=True, visible=True, placeholder="system prompt, useful for RP", lines=5)
|
123 |
+
|
124 |
+
chat_history_state = gr.State()
|
125 |
+
clear.click(clear_chat, inputs=[chat_history_state, message], outputs=[chat_history_state, message], queue=False)
|
126 |
+
clear.click(lambda: None, None, chatbot, queue=False)
|
127 |
+
|
128 |
+
submit_click_event = submit.click(
|
129 |
+
fn=user, inputs=[message, chat_history_state], outputs=[message, chat_history_state], queue=True
|
130 |
+
).then(
|
131 |
+
fn=chat, inputs=[chat_history_state, system_msg, max_tokens, temperature, top_p, top_k, repeat_penalty], outputs=[chatbot, chat_history_state], queue=True
|
132 |
+
)
|
133 |
+
message_submit_event = message.submit(
|
134 |
+
fn=user, inputs=[message, chat_history_state], outputs=[message, chat_history_state], queue=True
|
135 |
+
).then(
|
136 |
+
fn=chat, inputs=[chat_history_state, system_msg, max_tokens, temperature, top_p, top_k, repeat_penalty], outputs=[chatbot, chat_history_state], queue=True
|
137 |
+
)
|
138 |
+
stop.click(fn=None, inputs=None, outputs=None, cancels=[submit_click_event, message_submit_event], queue=False)
|
139 |
+
|
140 |
+
demo.queue(**config["queue"]).launch(debug=True, server_name="0.0.0.0", server_port=7860)
|