init proof of consept

This commit is contained in:
Adrian Gunnar Lauterer 2024-05-04 16:58:14 +02:00
commit 24bc521aa3
6 changed files with 122 additions and 0 deletions

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*/__pycache__/*
__pycache__/*
piper-models

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LICENSE Normal file
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Copyright 2024 Adrian Gunnar Lauterer
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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README.md Normal file
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# pdf-speak
This is a little short side project i made to read sentence for sentence of a text pdf out loud using piper-tts.
The project is made using nix, and should be run using the provided dev enviroment in the flake.nix
nix develop
pyhton pdf-speak.py -f YOURPDF -p PAGENUMBER
Only testen on a linux system with alsa support (runs shell commands).
Can possibly be run with installing piper (tts),aplay and downloading the piper model files, and modifying the model file variables.

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flake.lock generated Normal file
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{
"nodes": {
"nixpkgs": {
"locked": {
"lastModified": 1713714899,
"narHash": "sha256-+z/XjO3QJs5rLE5UOf015gdVauVRQd2vZtsFkaXBq2Y=",
"owner": "NixOS",
"repo": "nixpkgs",
"rev": "6143fc5eeb9c4f00163267708e26191d1e918932",
"type": "github"
},
"original": {
"id": "nixpkgs",
"ref": "nixos-unstable",
"type": "indirect"
}
},
"root": {
"inputs": {
"nixpkgs": "nixpkgs"
}
}
},
"root": "root",
"version": 7
}

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flake.nix Normal file
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{
description = "A simple flake";
inputs.nixpkgs.url = "nixpkgs/nixos-unstable";
outputs = { self, nixpkgs }: {
defaultPackage.x86_64-linux = let
pkgs = nixpkgs.legacyPackages.x86_64-linux;
python = pkgs.python311;
pythonPackages = python.pkgs;
modelUrl = "https://huggingface.co/rhasspy/piper-voices/resolve/v1.0.0/en/en_US/hfc_female/medium/en_US-hfc_female-medium.onnx?download=true";
modelJsonUrl = "https://huggingface.co/rhasspy/piper-voices/resolve/v1.0.0/en/en_US/hfc_female/medium/en_US-hfc_female-medium.onnx.json?download=true.json";
model = pkgs.fetchurl {
name = "hfc_female/medium/en_US-hfc_female-medium.onnx";
url = modelUrl;
sha256 = "sha256-kUxHN4j8H6i2Os4c3NtEWI9K5SPTqzffFTZhaDWhQLc="; # replace with the correct sha256
};
modelJson = pkgs.fetchurl {
name = "hfc_female/medium/en_US-hfc_female-medium.onnx.json";
url = modelJsonUrl;
sha256 = "sha256-A/H6BiK4BGMoNZLZesqfbomuw0WlxWtyV3I+AJPFi2w="; # replace with the correct sha256
};
in pkgs.mkShell {
nativeBuildInputs = with pkgs; [
python
piper-tts
alsa-utils # for aplay for piper-tts to stream to
(pythonPackages.pypdf)
];
shellHook = ''
mkdir -p piper-models
cp ${model} piper-models/
cp ${modelJson} piper-models/
'';
};
};
}

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pdf-speak.py Normal file
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from pypdf import PdfReader
import subprocess
import argparse
def tts(text):
piper_model_json_path = "piper-models/ihfq9facjxhl8b8z3afhn1kisq5wsghg-hfc_female-medium-en_US-hfc_female-medium.onnx.json"
piper_model_path = "piper-models/dy5s1ri7ixy1c27fg4adaf8ji3hmqiic-hfc_female-medium-en_US-hfc_female-medium.onnx"
command = f"echo \"{text}. \" | piper -q -m {piper_model_path} -c {piper_model_json_path} --output-raw | aplay -q -r 22050 -f S16_LE -t raw -"
process = subprocess.run(command, shell=True, check=True)
def read_pdf(pdf_name, page_num):
reader = PdfReader(pdf_name)
page = reader.pages[page_num-1]
text = page.extract_text().replace("\n","").split(". ")
for sentence in text:
print(sentence)
tts(sentence)
if __name__ == "__main__":
parser = argparse.ArgumentParser(description='Read PDF and convert to speech')
parser.add_argument("-f", '--pdf-file', type=str, help='Path to the PDF file')
parser.add_argument("-p", '--page', type=int, default=1, help='Page number to read from the PDF')
args = parser.parse_args()
pdf = args.pdf_file
page = args.page
read_pdf(pdf, page)