init proof of consept

.gitignore

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+*/__pycache__/*
+__pycache__/*
+piper-models
+

README.md

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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-to-piper.py -f YOURPDF -p PAGENUMBER
+
+Only testen on a linux system.
+No warranty provided
+

flake.lock

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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
+}

flake.nix

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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/
+      '';
+    };
+  };
+}

pdf-speak.py

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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)