Evan-Kim2028

# Local Push-to-Talk Dictation on Linux (System76 / Pop!_OS)

Uses [faster-whisper](https://github.com/SYSTRAN/faster-whisper) + your NVIDIA GPU for local, private speech-to-text.
Hold **Right Alt** to record, release to transcribe and type into any focused window.

Tested on: System76 laptop, Pop!_OS 22.04, NVIDIA RTX 4050, GNOME on X11.

---

## Prerequisites

Evan-Kim2028

txs_calldata: pl.LazyFrame = (
    pl.scan_parquet("data/raw/transactions/*.parquet")
    .select(
        "block_number",
        "transaction_hash",
        "input",
    )
    .with_columns([pl.col("input").str.len_bytes().alias("calldata_size")])
    .with_columns(pl.col("calldata_size") - 1)
    .select("transaction_hash", "block_number", "calldata_size")

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{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [

Evan-Kim2028

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{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [

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Evan-Kim2028

import numpy as np
import matplotlib.pyplot as plt
import yfinance as yf
import pandas as pd
from scipy.optimize import curve_fit
from fastdtw import fastdtw
from scipy.spatial.distance import euclidean
from scipy.signal import find_peaks, peak_widths
from scipy.interpolate import interp1d

Evan-Kim2028

from queryportal.subgraphinterface import SubgraphInterface as sgi

import polars as pl
pl.Config.set_fmt_str_lengths(200)

endpoints = [
    'https://api.thegraph.com/subgraphs/name/messari/uniswap-v3-ethereum',
    'https://api.thegraph.com/subgraphs/name/messari/uniswap-v3-arbitrum',
    'https://api.thegraph.com/subgraphs/name/messari/uniswap-v3-polygon',
    'https://api.thegraph.com/subgraphs/name/messari/uniswap-v3-optimism',