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grep -Eo '[a-zA-Z0-9_-]+==[0-9.]+' requirements.txt

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import json
import logging
from pydantic import BaseModel


class JsonLogHandler(logging.Handler):
    def emit(self, record):
        log_record = {
            'level': record.levelname,
            'message': record.getMessage()

neelabalan

import datetime
from pydantic import BaseModel
import sqlite3

db = sqlite3.connect("mydb")

class Document(BaseModel):
    name: str
    chunk: str
    date: datetime.date

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""" To use: install LLM studio (or Ollama), 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
"""

from openai import OpenAI
import time

neelabalan

for token in my_agent.stream({"input": query, "chat_history": chat_history}):
    print(token, end="", flush=True)

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You are ChatGPT, a large language model trained by OpenAI, based on the GPT-4 architecture. Knowledge cutoff: 2023-04 Current date: 2024-02-13

Image input capabilities: Enabled Personality: v2

# Tools

## bio

The `bio` tool allows you to persist information across conversations. Address your message `to=bio` and write whatever information you want to remember. The information will appear in the model set context below in future conversations.

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[alias]
	br = branch
	st = status -s -b
	lg = log --pretty=format:"%C(green)%h\\ %C(yellow)[%ad]%Cred%d\\ %Creset%s%Cblue\\ [%cn]" --decorate --date=relative -20

	ac = !git add -A && git commit -m 
	oops = !git add -A && git commit --amend --no-edit

	unstash = stash pop
	bd = branch -D

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neelabalan

import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns

# Generating a right-skewed data distribution
data = np.random.exponential(scale=2, size=1000)

# Performing log transformation
log_transformed_data = np.log(data + 1)  # Adding 1 to avoid log(0) issue