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import os | |
import json | |
import datetime | |
import streamlit as st | |
from llama_index.llms import Ollama | |
from llama_index.llms import ChatMessage | |
# https://docs.llamaindex.ai/en/stable/examples/llm/ollama.html | |
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import torch | |
from langchain_community.embeddings import ( | |
OpenAIEmbeddings, | |
OllamaEmbeddings, | |
HuggingFaceEmbeddings, | |
HuggingFaceBgeEmbeddings | |
) | |
def embedding_func(selected_embedding: str = "HuggingFaceEmbeddings"): | |
""" |
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import sys | |
from io import StringIO | |
import streamlit as st # pip install streamlit | |
from code_editor import code_editor # pip install streamlit_code_editor | |
import ollama as ol # pip install ollama | |
st.set_page_config(layout='wide') | |
st.title('`Offline code completion`') |
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""" To use: install Ollama (or LLM studio), clone OpenVoice, run this script in the OpenVoice directory | |
git clone https://github.com/myshell-ai/OpenVoice | |
cd OpenVoice | |
git clone https://huggingface.co/myshell-ai/OpenVoice | |
cp -r OpenVoice/* . | |
pip install whisper pynput pyaudio streamlit ollama | |
script source: https://x.com/Thom_Wolf/status/1758140066285658351?s=20 | |
""" |
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