fix: fixed the GUI

chore: reformatted and optimized imports.

Co-authored-by: Jan Tumpa <jtumpa@gmail.com>
pull/1819/head
Jason 1 year ago
parent d8dccb0eb1
commit ed97ae4ebb

@ -82,7 +82,9 @@ def settings():
# Change settings
config = gui.modify_settings(data, config_load, checks)
return render_template("settings.html", file="config.toml", data=config, checks=checks)
return render_template(
"settings.html", file="config.toml", data=config, checks=checks
)
# Make videos.json accessible

@ -205,7 +205,7 @@
<select name="background_choice" class="form-select" data-toggle="tooltip"
data-original-title='Sets the background of the video'>
<option value=" ">Random Video</option>
{% for background in checks["background_choice"]["options"][1:] %}
{% for background in checks["background_video"]["options"][1:] %}
<option value="{{background}}">{{background}}</option>
{% endfor %}
</select>
@ -618,4 +618,4 @@
});
</script>
{% endblock %}
{% endblock %}

@ -86,7 +86,9 @@ class TikTok:
"Cookie": f"sessionid={settings.config['settings']['tts']['tiktok_sessionid']}",
}
self.URI_BASE = "https://api16-normal-c-useast1a.tiktokv.com/media/api/text/speech/invoke/"
self.URI_BASE = (
"https://api16-normal-c-useast1a.tiktokv.com/media/api/text/speech/invoke/"
)
self.max_chars = 200
self._session = requests.Session()

@ -41,7 +41,9 @@ class AWSPolly:
raise ValueError(
f"Please set the TOML variable AWS_VOICE to a valid voice. options are: {voices}"
)
voice = str(settings.config["settings"]["tts"]["aws_polly_voice"]).capitalize()
voice = str(
settings.config["settings"]["tts"]["aws_polly_voice"]
).capitalize()
try:
# Request speech synthesis
response = polly.synthesize_speech(

@ -26,7 +26,9 @@ class elevenlabs:
if random_voice:
voice = self.randomvoice()
else:
voice = str(settings.config["settings"]["tts"]["elevenlabs_voice_name"]).capitalize()
voice = str(
settings.config["settings"]["tts"]["elevenlabs_voice_name"]
).capitalize()
if settings.config["settings"]["tts"]["elevenlabs_api_key"]:
api_key = settings.config["settings"]["tts"]["elevenlabs_api_key"]
@ -35,7 +37,9 @@ class elevenlabs:
"You didn't set an Elevenlabs API key! Please set the config variable ELEVENLABS_API_KEY to a valid API key."
)
audio = generate(api_key=api_key, text=text, voice=voice, model="eleven_multilingual_v1")
audio = generate(
api_key=api_key, text=text, voice=voice, model="eleven_multilingual_v1"
)
save(audio=audio, filename=filepath)
def randomvoice(self):

@ -14,10 +14,7 @@ from utils import settings
from utils.console import print_step, print_substep
from utils.voice import sanitize_text
DEFAULT_MAX_LENGTH: int = (
50 # Video length variable, edit this on your own risk. It should work, but it's not supported
)
DEFAULT_MAX_LENGTH: int = 50 # Video length variable, edit this on your own risk. It should work, but it's not supported
class TTSEngine:
@ -60,7 +57,9 @@ class TTSEngine:
comment["comment_body"] = re.sub(regex_urls, " ", comment["comment_body"])
comment["comment_body"] = comment["comment_body"].replace("\n", ". ")
comment["comment_body"] = re.sub(r"\bAI\b", "A.I", comment["comment_body"])
comment["comment_body"] = re.sub(r"\bAGI\b", "A.G.I", comment["comment_body"])
comment["comment_body"] = re.sub(
r"\bAGI\b", "A.G.I", comment["comment_body"]
)
if comment["comment_body"][-1] != ".":
comment["comment_body"] += "."
comment["comment_body"] = comment["comment_body"].replace(". . .", ".")
@ -82,13 +81,17 @@ class TTSEngine:
if len(self.reddit_object["thread_post"]) > self.tts_module.max_chars:
self.split_post(self.reddit_object["thread_post"], "postaudio")
else:
self.call_tts("postaudio", process_text(self.reddit_object["thread_post"]))
self.call_tts(
"postaudio", process_text(self.reddit_object["thread_post"])
)
elif settings.config["settings"]["storymodemethod"] == 1:
for idx, text in track(enumerate(self.reddit_object["thread_post"])):
self.call_tts(f"postaudio-{idx}", process_text(text))
else:
for idx, comment in track(enumerate(self.reddit_object["comments"]), "Saving..."):
for idx, comment in track(
enumerate(self.reddit_object["comments"]), "Saving..."
):
# ! Stop creating mp3 files if the length is greater than max length.
if self.length > self.max_length and idx > 1:
self.length -= self.last_clip_length
@ -171,7 +174,9 @@ class TTSEngine:
fps=44100,
)
silence = volumex(silence, 0)
silence.write_audiofile(f"{self.path}/silence.mp3", fps=44100, verbose=False, logger=None)
silence.write_audiofile(
f"{self.path}/silence.mp3", fps=44100, verbose=False, logger=None
)
def process_text(text: str, clean: bool = True):
@ -179,6 +184,8 @@ def process_text(text: str, clean: bool = True):
new_text = sanitize_text(text) if clean else text
if lang:
print_substep("Translating Text...")
translated_text = translators.translate_text(text, translator="google", to_language=lang)
translated_text = translators.translate_text(
text, translator="google", to_language=lang
)
new_text = sanitize_text(translated_text)
return new_text

@ -21,7 +21,9 @@ class pyttsx:
if voice_id == "" or voice_num == "":
voice_id = 2
voice_num = 3
raise ValueError("set pyttsx values to a valid value, switching to defaults")
raise ValueError(
"set pyttsx values to a valid value, switching to defaults"
)
else:
voice_id = int(voice_id)
voice_num = int(voice_num)

@ -42,7 +42,9 @@ class StreamlabsPolly:
raise ValueError(
f"Please set the config variable STREAMLABS_POLLY_VOICE to a valid voice. options are: {voices}"
)
voice = str(settings.config["settings"]["tts"]["streamlabs_polly_voice"]).capitalize()
voice = str(
settings.config["settings"]["tts"]["streamlabs_polly_voice"]
).capitalize()
body = {"voice": voice, "text": text, "service": "polly"}
response = requests.post(self.url, data=body)
if not check_ratelimit(response):

@ -7,11 +7,13 @@ from subprocess import Popen
from typing import NoReturn
from prawcore import ResponseException
from utils.console import print_substep
from reddit.subreddit import get_subreddit_threads
from utils import settings
from utils.cleanup import cleanup
from utils.console import print_markdown, print_step
from utils.console import print_substep
from utils.ffmpeg_install import ffmpeg_install
from utils.id import id
from utils.version import checkversion
from video_creation.background import (
@ -23,7 +25,6 @@ from video_creation.background import (
from video_creation.final_video import make_final_video
from video_creation.screenshot_downloader import get_screenshots_of_reddit_posts
from video_creation.voices import save_text_to_mp3
from utils.ffmpeg_install import ffmpeg_install
__VERSION__ = "3.2.1"
@ -103,7 +104,9 @@ if __name__ == "__main__":
sys.exit()
try:
if config["reddit"]["thread"]["post_id"]:
for index, post_id in enumerate(config["reddit"]["thread"]["post_id"].split("+")):
for index, post_id in enumerate(
config["reddit"]["thread"]["post_id"].split("+")
):
index += 1
print_step(
f'on the {index}{("st" if index % 10 == 1 else ("nd" if index % 10 == 2 else ("rd" if index % 10 == 3 else "th")))} post of {len(config["reddit"]["thread"]["post_id"].split("+"))}'

@ -1,18 +1,16 @@
import re
from prawcore.exceptions import ResponseException
from utils import settings
import praw
from praw.models import MoreComments
from prawcore.exceptions import ResponseException
from utils import settings
from utils.ai_methods import sort_by_similarity
from utils.console import print_step, print_substep
from utils.posttextparser import posttextparser
from utils.subreddit import get_subreddit_undone
from utils.videos import check_done
from utils.voice import sanitize_text
from utils.posttextparser import posttextparser
from utils.ai_methods import sort_by_similarity
def get_subreddit_threads(POST_ID: str):
@ -24,7 +22,9 @@ def get_subreddit_threads(POST_ID: str):
content = {}
if settings.config["reddit"]["creds"]["2fa"]:
print("\nEnter your two-factor authentication code from your authenticator app.\n")
print(
"\nEnter your two-factor authentication code from your authenticator app.\n"
)
code = input("> ")
print()
pw = settings.config["reddit"]["creds"]["password"]
@ -57,7 +57,9 @@ def get_subreddit_threads(POST_ID: str):
]: # note to user. you can have multiple subreddits via reddit.subreddit("redditdev+learnpython")
try:
subreddit = reddit.subreddit(
re.sub(r"r\/", "", input("What subreddit would you like to pull from? "))
re.sub(
r"r\/", "", input("What subreddit would you like to pull from? ")
)
# removes the r/ from the input
)
except ValueError:
@ -67,7 +69,9 @@ def get_subreddit_threads(POST_ID: str):
sub = settings.config["reddit"]["thread"]["subreddit"]
print_substep(f"Using subreddit: r/{sub} from TOML config")
subreddit_choice = sub
if str(subreddit_choice).casefold().startswith("r/"): # removes the r/ from the input
if (
str(subreddit_choice).casefold().startswith("r/")
): # removes the r/ from the input
subreddit_choice = subreddit_choice[2:]
subreddit = reddit.subreddit(subreddit_choice)
@ -78,8 +82,12 @@ def get_subreddit_threads(POST_ID: str):
settings.config["reddit"]["thread"]["post_id"]
and len(str(settings.config["reddit"]["thread"]["post_id"]).split("+")) == 1
):
submission = reddit.submission(id=settings.config["reddit"]["thread"]["post_id"])
elif settings.config["ai"]["ai_similarity_enabled"]: # ai sorting based on comparison
submission = reddit.submission(
id=settings.config["reddit"]["thread"]["post_id"]
)
elif settings.config["ai"][
"ai_similarity_enabled"
]: # ai sorting based on comparison
threads = subreddit.hot(limit=50)
keywords = settings.config["ai"]["ai_similarity_keywords"].split(",")
keywords = [keyword.strip() for keyword in keywords]
@ -97,7 +105,10 @@ def get_subreddit_threads(POST_ID: str):
if submission is None:
return get_subreddit_threads(POST_ID) # submission already done. rerun
elif not submission.num_comments and settings.config["settings"]["storymode"] == "false":
elif (
not submission.num_comments
and settings.config["settings"]["storymode"] == "false"
):
print_substep("No comments found. Skipping.")
exit()

@ -1,12 +1,16 @@
import numpy as np
from transformers import AutoTokenizer, AutoModel
import torch
from transformers import AutoTokenizer, AutoModel
# Mean Pooling - Take attention mask into account for correct averaging
def mean_pooling(model_output, attention_mask):
token_embeddings = model_output[0] # First element of model_output contains all token embeddings
input_mask_expanded = attention_mask.unsqueeze(-1).expand(token_embeddings.size()).float()
token_embeddings = model_output[
0
] # First element of model_output contains all token embeddings
input_mask_expanded = (
attention_mask.unsqueeze(-1).expand(token_embeddings.size()).float()
)
return torch.sum(token_embeddings * input_mask_expanded, 1) / torch.clamp(
input_mask_expanded.sum(1), min=1e-9
)
@ -32,13 +36,19 @@ def sort_by_similarity(thread_objects, keywords):
)
with torch.no_grad():
threads_embeddings = model(**encoded_threads)
threads_embeddings = mean_pooling(threads_embeddings, encoded_threads["attention_mask"])
threads_embeddings = mean_pooling(
threads_embeddings, encoded_threads["attention_mask"]
)
# Keywords inference
encoded_keywords = tokenizer(keywords, padding=True, truncation=True, return_tensors="pt")
encoded_keywords = tokenizer(
keywords, padding=True, truncation=True, return_tensors="pt"
)
with torch.no_grad():
keywords_embeddings = model(**encoded_keywords)
keywords_embeddings = mean_pooling(keywords_embeddings, encoded_keywords["attention_mask"])
keywords_embeddings = mean_pooling(
keywords_embeddings, encoded_keywords["attention_mask"]
)
# Compare every keyword w/ every thread embedding
threads_embeddings_tensor = torch.tensor(threads_embeddings)

@ -1,6 +1,6 @@
import os
from os.path import exists
import shutil
from os.path import exists
def _listdir(d): # listdir with full path

@ -49,7 +49,10 @@ def handle_input(
optional=False,
):
if optional:
console.print(message + "\n[green]This is an optional value. Do you want to skip it? (y/n)")
console.print(
message
+ "\n[green]This is an optional value. Do you want to skip it? (y/n)"
)
if input().casefold().startswith("y"):
return default if default is not NotImplemented else ""
if default is not NotImplemented:
@ -83,7 +86,11 @@ def handle_input(
console.print("[red]" + err_message)
continue
elif match != "" and re.match(match, user_input) is None:
console.print("[red]" + err_message + "\nAre you absolutely sure it's correct?(y/n)")
console.print(
"[red]"
+ err_message
+ "\nAre you absolutely sure it's correct?(y/n)"
)
if input().casefold().startswith("y"):
break
continue
@ -116,5 +123,9 @@ def handle_input(
if user_input in options:
return user_input
console.print(
"[red bold]" + err_message + "\nValid options are: " + ", ".join(map(str, options)) + "."
"[red bold]"
+ err_message
+ "\nValid options are: "
+ ", ".join(map(str, options))
+ "."
)

@ -1,14 +1,13 @@
import zipfile
import requests
import os
import subprocess
import zipfile
import requests
def ffmpeg_install_windows():
try:
ffmpeg_url = (
"https://github.com/GyanD/codexffmpeg/releases/download/6.0/ffmpeg-6.0-full_build.zip"
)
ffmpeg_url = "https://github.com/GyanD/codexffmpeg/releases/download/6.0/ffmpeg-6.0-full_build.zip"
ffmpeg_zip_filename = "ffmpeg.zip"
ffmpeg_extracted_folder = "ffmpeg"
@ -39,7 +38,10 @@ def ffmpeg_install_windows():
# Rename and move files
os.rename(f"{ffmpeg_extracted_folder}-6.0-full_build", ffmpeg_extracted_folder)
for file in os.listdir(os.path.join(ffmpeg_extracted_folder, "bin")):
os.rename(os.path.join(ffmpeg_extracted_folder, "bin", file), os.path.join(".", file))
os.rename(
os.path.join(ffmpeg_extracted_folder, "bin", file),
os.path.join(".", file),
)
os.rmdir(os.path.join(ffmpeg_extracted_folder, "bin"))
for file in os.listdir(os.path.join(ffmpeg_extracted_folder, "doc")):
os.remove(os.path.join(ffmpeg_extracted_folder, "doc", file))
@ -101,7 +103,10 @@ def ffmpeg_install():
try:
# Try to run the FFmpeg command
subprocess.run(
["ffmpeg", "-version"], check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE
["ffmpeg", "-version"],
check=True,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
)
except FileNotFoundError as e:
# Check if there's ffmpeg.exe in the current directory
@ -122,7 +127,9 @@ def ffmpeg_install():
elif os.name == "mac":
ffmpeg_install_mac()
else:
print("Your OS is not supported. Please install FFmpeg manually and try again.")
print(
"Your OS is not supported. Please install FFmpeg manually and try again."
)
exit()
else:
print("Please install FFmpeg manually and try again.")

@ -67,7 +67,11 @@ def check(value, checks):
and not hasattr(value, "__iter__")
and (
("nmin" in checks and checks["nmin"] is not None and value < checks["nmin"])
or ("nmax" in checks and checks["nmax"] is not None and value > checks["nmax"])
or (
"nmax" in checks
and checks["nmax"] is not None
and value > checks["nmax"]
)
)
):
incorrect = True
@ -76,8 +80,16 @@ def check(value, checks):
not incorrect
and hasattr(value, "__iter__")
and (
("nmin" in checks and checks["nmin"] is not None and len(value) < checks["nmin"])
or ("nmax" in checks and checks["nmax"] is not None and len(value) > checks["nmax"])
(
"nmin" in checks
and checks["nmin"] is not None
and len(value) < checks["nmin"]
)
or (
"nmax" in checks
and checks["nmax"] is not None
and len(value) > checks["nmax"]
)
)
):
incorrect = True
@ -150,7 +162,9 @@ def delete_background(key):
# Add background video
def add_background(youtube_uri, filename, citation, position):
# Validate YouTube URI
regex = re.compile(r"(?:\/|%3D|v=|vi=)([0-9A-z\-_]{11})(?:[%#?&]|$)").search(youtube_uri)
regex = re.compile(r"(?:\/|%3D|v=|vi=)([0-9A-z\-_]{11})(?:[%#?&]|$)").search(
youtube_uri
)
if not regex:
flash("YouTube URI is invalid!", "error")

@ -1,9 +1,10 @@
import os
import re
import textwrap
import os
from PIL import Image, ImageDraw, ImageFont
from rich.progress import track
from TTS.engine_wrapper import process_text
@ -17,7 +18,9 @@ def draw_multiple_line_text(
Fontperm = font.getsize(text)
image_width, image_height = image.size
lines = textwrap.wrap(text, width=wrap)
y = (image_height / 2) - (((Fontperm[1] + (len(lines) * padding) / len(lines)) * len(lines)) / 2)
y = (image_height / 2) - (
((Fontperm[1] + (len(lines) * padding) / len(lines)) * len(lines)) / 2
)
for line in lines:
line_width, line_height = font.getsize(line)
if transparent:
@ -63,19 +66,25 @@ def imagemaker(theme, reddit_obj: dict, txtclr, padding=5, transparent=False) ->
font = ImageFont.truetype(os.path.join("fonts", "Roboto-Bold.ttf"), 100)
tfont = ImageFont.truetype(os.path.join("fonts", "Roboto-Bold.ttf"), 100)
else:
tfont = ImageFont.truetype(os.path.join("fonts", "Roboto-Bold.ttf"), 100) # for title
tfont = ImageFont.truetype(
os.path.join("fonts", "Roboto-Bold.ttf"), 100
) # for title
font = ImageFont.truetype(os.path.join("fonts", "Roboto-Regular.ttf"), 100)
size = (1920, 1080)
image = Image.new("RGBA", size, theme)
# for title
draw_multiple_line_text(image, title, tfont, txtclr, padding, wrap=30, transparent=transparent)
draw_multiple_line_text(
image, title, tfont, txtclr, padding, wrap=30, transparent=transparent
)
image.save(f"assets/temp/{id}/png/title.png")
for idx, text in track(enumerate(texts), "Rendering Image"):
image = Image.new("RGBA", size, theme)
text = process_text(text, False)
draw_multiple_line_text(image, text, font, txtclr, padding, wrap=30, transparent=transparent)
draw_multiple_line_text(
image, text, font, txtclr, padding, wrap=30, transparent=transparent
)
image.save(f"assets/temp/{id}/png/img{idx}.png")

@ -1,5 +1,7 @@
def clear_cookie_by_name(context, cookie_cleared_name):
cookies = context.cookies()
filtered_cookies = [cookie for cookie in cookies if cookie["name"] != cookie_cleared_name]
filtered_cookies = [
cookie for cookie in cookies if cookie["name"] != cookie_cleared_name
]
context.clear_cookies()
context.add_cookies(filtered_cookies)

@ -1,6 +1,7 @@
import re
from typing import Tuple, Dict
from pathlib import Path
from typing import Tuple, Dict
import toml
from rich.console import Console
@ -52,7 +53,11 @@ def check(value, checks, name):
and not hasattr(value, "__iter__")
and (
("nmin" in checks and checks["nmin"] is not None and value < checks["nmin"])
or ("nmax" in checks and checks["nmax"] is not None and value > checks["nmax"])
or (
"nmax" in checks
and checks["nmax"] is not None
and value > checks["nmax"]
)
)
):
incorrect = True
@ -60,8 +65,16 @@ def check(value, checks, name):
not incorrect
and hasattr(value, "__iter__")
and (
("nmin" in checks and checks["nmin"] is not None and len(value) < checks["nmin"])
or ("nmax" in checks and checks["nmax"] is not None and len(value) > checks["nmax"])
(
"nmin" in checks
and checks["nmin"] is not None
and len(value) < checks["nmin"]
)
or (
"nmax" in checks
and checks["nmax"] is not None
and len(value) > checks["nmax"]
)
)
):
incorrect = True
@ -69,9 +82,15 @@ def check(value, checks, name):
if incorrect:
value = handle_input(
message=(
(("[blue]Example: " + str(checks["example"]) + "\n") if "example" in checks else "")
(
("[blue]Example: " + str(checks["example"]) + "\n")
if "example" in checks
else ""
)
+ "[red]"
+ ("Non-optional ", "Optional ")["optional" in checks and checks["optional"] is True]
+ ("Non-optional ", "Optional ")[
"optional" in checks and checks["optional"] is True
]
)
+ "[#C0CAF5 bold]"
+ str(name)
@ -112,7 +131,9 @@ def check_toml(template_file, config_file) -> Tuple[bool, Dict]:
try:
template = toml.load(template_file)
except Exception as error:
console.print(f"[red bold]Encountered error when trying to to load {template_file}: {error}")
console.print(
f"[red bold]Encountered error when trying to to load {template_file}: {error}"
)
return False
try:
config = toml.load(config_file)

@ -2,11 +2,13 @@ import json
from os.path import exists
from utils import settings
from utils.console import print_substep
from utils.ai_methods import sort_by_similarity
from utils.console import print_substep
def get_subreddit_undone(submissions: list, subreddit, times_checked=0, similarity_scores=None):
def get_subreddit_undone(
submissions: list, subreddit, times_checked=0, similarity_scores=None
):
"""_summary_
Args:
@ -18,7 +20,9 @@ def get_subreddit_undone(submissions: list, subreddit, times_checked=0, similari
"""
# Second try of getting a valid Submission
if times_checked and settings.config["ai"]["ai_similarity_enabled"]:
print("Sorting based on similarity for a different date filter and thread limit..")
print(
"Sorting based on similarity for a different date filter and thread limit.."
)
submissions = sort_by_similarity(
submissions, keywords=settings.config["ai"]["ai_similarity_enabled"]
)
@ -27,7 +31,9 @@ def get_subreddit_undone(submissions: list, subreddit, times_checked=0, similari
if not exists("./video_creation/data/videos.json"):
with open("./video_creation/data/videos.json", "w+") as f:
json.dump([], f)
with open("./video_creation/data/videos.json", "r", encoding="utf-8") as done_vids_raw:
with open(
"./video_creation/data/videos.json", "r", encoding="utf-8"
) as done_vids_raw:
done_videos = json.load(done_vids_raw)
for i, submission in enumerate(submissions):
if already_done(done_videos, submission):
@ -43,7 +49,8 @@ def get_subreddit_undone(submissions: list, subreddit, times_checked=0, similari
print_substep("This post was pinned by moderators. Skipping...")
continue
if (
submission.num_comments <= int(settings.config["reddit"]["thread"]["min_comments"])
submission.num_comments
<= int(settings.config["reddit"]["thread"]["min_comments"])
and not settings.config["settings"]["storymode"]
):
print_substep(
@ -52,7 +59,9 @@ def get_subreddit_undone(submissions: list, subreddit, times_checked=0, similari
continue
if settings.config["settings"]["storymode"]:
if not submission.selftext:
print_substep("You are trying to use story mode on post with no post text")
print_substep(
"You are trying to use story mode on post with no post text"
)
continue
else:
# Check for the length of the post text

@ -1,11 +1,15 @@
from PIL import ImageDraw, ImageFont
def create_thumbnail(thumbnail, font_family, font_size, font_color, width, height, title):
def create_thumbnail(
thumbnail, font_family, font_size, font_color, width, height, title
):
font = ImageFont.truetype(font_family + ".ttf", font_size)
Xaxis = width - (width * 0.2) # 20% of the width
sizeLetterXaxis = font_size * 0.5 # 50% of the font size
XaxisLetterQty = round(Xaxis / sizeLetterXaxis) # Quantity of letters that can fit in the X axis
XaxisLetterQty = round(
Xaxis / sizeLetterXaxis
) # Quantity of letters that can fit in the X axis
MarginYaxis = height * 0.12 # 12% of the height
MarginXaxis = width * 0.05 # 5% of the width
# 1.1 rem
@ -30,6 +34,8 @@ def create_thumbnail(thumbnail, font_family, font_size, font_color, width, heigh
# loop for put the title in the thumbnail
for i in range(0, len(arrayTitle)):
# 1.1 rem
draw.text((MarginXaxis, MarginYaxis + (LineHeight * i)), arrayTitle[i], rgb, font=font)
draw.text(
(MarginXaxis, MarginYaxis + (LineHeight * i)), arrayTitle[i], rgb, font=font
)
return thumbnail

@ -19,7 +19,9 @@ def check_done(
Returns:
Submission|None: Reddit object in args
"""
with open("./video_creation/data/videos.json", "r", encoding="utf-8") as done_vids_raw:
with open(
"./video_creation/data/videos.json", "r", encoding="utf-8"
) as done_vids_raw:
done_videos = json.load(done_vids_raw)
for video in done_videos:
if video["id"] == str(redditobj):
@ -33,7 +35,9 @@ def check_done(
return redditobj
def save_data(subreddit: str, filename: str, reddit_title: str, reddit_id: str, credit: str):
def save_data(
subreddit: str, filename: str, reddit_title: str, reddit_id: str, credit: str
):
"""Saves the videos that have already been generated to a JSON file in video_creation/data/videos.json
Args:

@ -4,10 +4,10 @@ import time as pytime
from datetime import datetime
from time import sleep
from cleantext import clean
from requests import Response
from utils import settings
from cleantext import clean
if sys.version_info[0] >= 3:
from datetime import timezone
@ -43,7 +43,9 @@ def sleep_until(time) -> None:
if sys.version_info[0] >= 3 and time.tzinfo:
end = time.astimezone(timezone.utc).timestamp()
else:
zoneDiff = pytime.time() - (datetime.now() - datetime(1970, 1, 1)).total_seconds()
zoneDiff = (
pytime.time() - (datetime.now() - datetime(1970, 1, 1)).total_seconds()
)
end = (time - datetime(1970, 1, 1)).total_seconds() + zoneDiff
# Type check

@ -5,11 +5,12 @@ from pathlib import Path
from random import randrange
from typing import Any, Tuple, Dict
import yt_dlp
from moviepy.editor import VideoFileClip, AudioFileClip
from moviepy.video.io.ffmpeg_tools import ffmpeg_extract_subclip
from utils import settings
from utils.console import print_step, print_substep
import yt_dlp
def load_background_options():
@ -59,7 +60,9 @@ def get_start_and_end_times(video_length: int, length_of_clip: int) -> Tuple[int
def get_background_config(mode: str):
"""Fetch the background/s configuration"""
try:
choice = str(settings.config["settings"]["background"][f"background_{mode}"]).casefold()
choice = str(
settings.config["settings"]["background"][f"background_{mode}"]
).casefold()
except AttributeError:
print_substep("No background selected. Picking random background'")
choice = None
@ -119,7 +122,9 @@ def download_background_audio(background_config: Tuple[str, str, str]):
print_substep("Background audio downloaded successfully! 🎉", style="bold green")
def chop_background(background_config: Dict[str, Tuple], video_length: int, reddit_object: dict):
def chop_background(
background_config: Dict[str, Tuple], video_length: int, reddit_object: dict
):
"""Generates the background audio and footage to be used in the video and writes it to assets/temp/background.mp3 and assets/temp/background.mp4
Args:
@ -132,7 +137,9 @@ def chop_background(background_config: Dict[str, Tuple], video_length: int, redd
print_step("Volume was set to 0. Skipping background audio creation . . .")
else:
print_step("Finding a spot in the backgrounds audio to chop...✂️")
audio_choice = f"{background_config['audio'][2]}-{background_config['audio'][1]}"
audio_choice = (
f"{background_config['audio'][2]}-{background_config['audio'][1]}"
)
background_audio = AudioFileClip(f"assets/backgrounds/audio/{audio_choice}")
start_time_audio, end_time_audio = get_start_and_end_times(
video_length, background_audio.duration

@ -1,9 +1,12 @@
import multiprocessing
import os
import re
import tempfile
import threading
import time
from os.path import exists # Needs to be imported specifically
from typing import Final
from typing import Tuple, Any, Dict
from typing import Tuple, Dict
import ffmpeg
import translators
@ -11,15 +14,11 @@ from PIL import Image
from rich.console import Console
from rich.progress import track
from utils import settings
from utils.cleanup import cleanup
from utils.console import print_step, print_substep
from utils.thumbnail import create_thumbnail
from utils.videos import save_data
from utils import settings
import tempfile
import threading
import time
console = Console()
@ -76,7 +75,9 @@ def name_normalize(name: str) -> str:
lang = settings.config["reddit"]["thread"]["post_lang"]
if lang:
print_substep("Translating filename...")
translated_name = translators.translate_text(name, translator="google", to_language=lang)
translated_name = translators.translate_text(
name, translator="google", to_language=lang
)
return translated_name
else:
return name
@ -113,7 +114,9 @@ def merge_background_audio(audio: ffmpeg, reddit_id: str):
audio (ffmpeg): The TTS final audio but without background.
reddit_id (str): The ID of subreddit
"""
background_audio_volume = settings.config["settings"]["background"]["background_audio_volume"]
background_audio_volume = settings.config["settings"]["background"][
"background_audio_volume"
]
if background_audio_volume == 0:
return audio # Return the original audio
else:
@ -167,27 +170,42 @@ def make_final_video(
if settings.config["settings"]["storymode"]:
if settings.config["settings"]["storymodemethod"] == 0:
audio_clips = [ffmpeg.input(f"assets/temp/{reddit_id}/mp3/title.mp3")]
audio_clips.insert(1, ffmpeg.input(f"assets/temp/{reddit_id}/mp3/postaudio.mp3"))
audio_clips.insert(
1, ffmpeg.input(f"assets/temp/{reddit_id}/mp3/postaudio.mp3")
)
elif settings.config["settings"]["storymodemethod"] == 1:
audio_clips = [
ffmpeg.input(f"assets/temp/{reddit_id}/mp3/postaudio-{i}.mp3")
for i in track(range(number_of_clips + 1), "Collecting the audio files...")
for i in track(
range(number_of_clips + 1), "Collecting the audio files..."
)
]
audio_clips.insert(0, ffmpeg.input(f"assets/temp/{reddit_id}/mp3/title.mp3"))
audio_clips.insert(
0, ffmpeg.input(f"assets/temp/{reddit_id}/mp3/title.mp3")
)
else:
audio_clips = [
ffmpeg.input(f"assets/temp/{reddit_id}/mp3/{i}.mp3") for i in range(number_of_clips)
ffmpeg.input(f"assets/temp/{reddit_id}/mp3/{i}.mp3")
for i in range(number_of_clips)
]
audio_clips.insert(0, ffmpeg.input(f"assets/temp/{reddit_id}/mp3/title.mp3"))
audio_clips_durations = [
float(ffmpeg.probe(f"assets/temp/{reddit_id}/mp3/{i}.mp3")["format"]["duration"])
float(
ffmpeg.probe(f"assets/temp/{reddit_id}/mp3/{i}.mp3")["format"][
"duration"
]
)
for i in range(number_of_clips)
]
audio_clips_durations.insert(
0,
float(ffmpeg.probe(f"assets/temp/{reddit_id}/mp3/title.mp3")["format"]["duration"]),
float(
ffmpeg.probe(f"assets/temp/{reddit_id}/mp3/title.mp3")["format"][
"duration"
]
),
)
audio_concat = ffmpeg.concat(*audio_clips, a=1, v=0)
ffmpeg.output(
@ -213,13 +231,19 @@ def make_final_video(
if settings.config["settings"]["storymode"]:
audio_clips_durations = [
float(
ffmpeg.probe(f"assets/temp/{reddit_id}/mp3/postaudio-{i}.mp3")["format"]["duration"]
ffmpeg.probe(f"assets/temp/{reddit_id}/mp3/postaudio-{i}.mp3")[
"format"
]["duration"]
)
for i in range(number_of_clips)
]
audio_clips_durations.insert(
0,
float(ffmpeg.probe(f"assets/temp/{reddit_id}/mp3/title.mp3")["format"]["duration"]),
float(
ffmpeg.probe(f"assets/temp/{reddit_id}/mp3/title.mp3")["format"][
"duration"
]
),
)
if settings.config["settings"]["storymodemethod"] == 0:
image_clips.insert(
@ -236,7 +260,9 @@ def make_final_video(
)
current_time += audio_clips_durations[0]
elif settings.config["settings"]["storymodemethod"] == 1:
for i in track(range(0, number_of_clips + 1), "Collecting the image files..."):
for i in track(
range(0, number_of_clips + 1), "Collecting the image files..."
):
image_clips.append(
ffmpeg.input(f"assets/temp/{reddit_id}/png/img{i}.png")["v"].filter(
"scale", screenshot_width, -1
@ -252,9 +278,9 @@ def make_final_video(
else:
for i in range(0, number_of_clips + 1):
image_clips.append(
ffmpeg.input(f"assets/temp/{reddit_id}/png/comment_{i}.png")["v"].filter(
"scale", screenshot_width, -1
)
ffmpeg.input(f"assets/temp/{reddit_id}/png/comment_{i}.png")[
"v"
].filter("scale", screenshot_width, -1)
)
image_overlay = image_clips[i].filter("colorchannelmixer", aa=opacity)
background_clip = background_clip.overlay(
@ -273,11 +299,15 @@ def make_final_video(
subreddit = settings.config["reddit"]["thread"]["subreddit"]
if not exists(f"./results/{subreddit}"):
print_substep("The 'results' folder could not be found so it was automatically created.")
print_substep(
"The 'results' folder could not be found so it was automatically created."
)
os.makedirs(f"./results/{subreddit}")
if not exists(f"./results/{subreddit}/OnlyTTS") and allowOnlyTTSFolder:
print_substep("The 'OnlyTTS' folder could not be found so it was automatically created.")
print_substep(
"The 'OnlyTTS' folder could not be found so it was automatically created."
)
os.makedirs(f"./results/{subreddit}/OnlyTTS")
# create a thumbnail for the video
@ -291,7 +321,11 @@ def make_final_video(
os.makedirs(f"./results/{subreddit}/thumbnails")
# get the first file with the .png extension from assets/backgrounds and use it as a background for the thumbnail
first_image = next(
(file for file in os.listdir("assets/backgrounds") if file.endswith(".png")),
(
file
for file in os.listdir("assets/backgrounds")
if file.endswith(".png")
),
None,
)
if first_image is None:
@ -313,7 +347,9 @@ def make_final_video(
title_thumb,
)
thumbnailSave.save(f"./assets/temp/{reddit_id}/thumbnail.png")
print_substep(f"Thumbnail - Building Thumbnail in assets/temp/{reddit_id}/thumbnail.png")
print_substep(
f"Thumbnail - Building Thumbnail in assets/temp/{reddit_id}/thumbnail.png"
)
text = f"Background by {background_config['video'][2]}"
background_clip = ffmpeg.drawtext(
@ -354,7 +390,9 @@ def make_final_video(
"b:a": "192k",
"threads": multiprocessing.cpu_count(),
},
).overwrite_output().global_args("-progress", progress.output_file.name).run(
).overwrite_output().global_args(
"-progress", progress.output_file.name
).run(
quiet=True,
overwrite_output=True,
capture_stdout=False,
@ -384,7 +422,9 @@ def make_final_video(
"b:a": "192k",
"threads": multiprocessing.cpu_count(),
},
).overwrite_output().global_args("-progress", progress.output_file.name).run(
).overwrite_output().global_args(
"-progress", progress.output_file.name
).run(
quiet=True,
overwrite_output=True,
capture_stdout=False,

@ -4,7 +4,6 @@ from pathlib import Path
from typing import Dict, Final
import translators
from playwright.async_api import async_playwright # pylint: disable=unused-import
from playwright.sync_api import ViewportSize, sync_playwright
from rich.progress import track
@ -12,7 +11,6 @@ from utils import settings
from utils.console import print_step, print_substep
from utils.imagenarator import imagemaker
from utils.playwright import clear_cookie_by_name
from utils.videos import save_data
__all__ = ["download_screenshots_of_reddit_posts"]
@ -38,7 +36,9 @@ def get_screenshots_of_reddit_posts(reddit_object: dict, screenshot_num: int):
# set the theme and disable non-essential cookies
if settings.config["settings"]["theme"] == "dark":
cookie_file = open("./video_creation/data/cookie-dark-mode.json", encoding="utf-8")
cookie_file = open(
"./video_creation/data/cookie-dark-mode.json", encoding="utf-8"
)
bgcolor = (33, 33, 36, 255)
txtcolor = (240, 240, 240)
transparent = False
@ -48,15 +48,21 @@ def get_screenshots_of_reddit_posts(reddit_object: dict, screenshot_num: int):
bgcolor = (0, 0, 0, 0)
txtcolor = (255, 255, 255)
transparent = True
cookie_file = open("./video_creation/data/cookie-dark-mode.json", encoding="utf-8")
cookie_file = open(
"./video_creation/data/cookie-dark-mode.json", encoding="utf-8"
)
else:
# Switch to dark theme
cookie_file = open("./video_creation/data/cookie-dark-mode.json", encoding="utf-8")
cookie_file = open(
"./video_creation/data/cookie-dark-mode.json", encoding="utf-8"
)
bgcolor = (33, 33, 36, 255)
txtcolor = (240, 240, 240)
transparent = False
else:
cookie_file = open("./video_creation/data/cookie-light-mode.json", encoding="utf-8")
cookie_file = open(
"./video_creation/data/cookie-light-mode.json", encoding="utf-8"
)
bgcolor = (255, 255, 255, 255)
txtcolor = (0, 0, 0)
transparent = False
@ -100,8 +106,12 @@ def get_screenshots_of_reddit_posts(reddit_object: dict, screenshot_num: int):
page.set_viewport_size(ViewportSize(width=1920, height=1080))
page.wait_for_load_state()
page.locator('[name="username"]').fill(settings.config["reddit"]["creds"]["username"])
page.locator('[name="password"]').fill(settings.config["reddit"]["creds"]["password"])
page.locator('[name="username"]').fill(
settings.config["reddit"]["creds"]["username"]
)
page.locator('[name="password"]').fill(
settings.config["reddit"]["creds"]["password"]
)
page.locator("button[class$='m-full-width']").click()
page.wait_for_timeout(5000)
@ -182,7 +192,9 @@ def get_screenshots_of_reddit_posts(reddit_object: dict, screenshot_num: int):
location[i] = float("{:.2f}".format(location[i] * zoom))
page.screenshot(clip=location, path=postcontentpath)
else:
page.locator('[data-test-id="post-content"]').screenshot(path=postcontentpath)
page.locator('[data-test-id="post-content"]').screenshot(
path=postcontentpath
)
except Exception as e:
print_substep("Something went wrong!", style="red")
resp = input(
@ -196,7 +208,9 @@ def get_screenshots_of_reddit_posts(reddit_object: dict, screenshot_num: int):
"green",
)
resp = input("Do you want the error traceback for debugging purposes? (y/n)")
resp = input(
"Do you want the error traceback for debugging purposes? (y/n)"
)
if not resp.casefold().startswith("y"):
exit()
@ -241,9 +255,13 @@ def get_screenshots_of_reddit_posts(reddit_object: dict, screenshot_num: int):
# zoom the body of the page
page.evaluate("document.body.style.zoom=" + str(zoom))
# scroll comment into view
page.locator(f"#t1_{comment['comment_id']}").scroll_into_view_if_needed()
page.locator(
f"#t1_{comment['comment_id']}"
).scroll_into_view_if_needed()
# as zooming the body doesn't change the properties of the divs, we need to adjust for the zoom
location = page.locator(f"#t1_{comment['comment_id']}").bounding_box()
location = page.locator(
f"#t1_{comment['comment_id']}"
).bounding_box()
for i in location:
location[i] = float("{:.2f}".format(location[i] * zoom))
page.screenshot(

@ -5,9 +5,9 @@ from rich.console import Console
from TTS.GTTS import GTTS
from TTS.TikTok import TikTok
from TTS.aws_polly import AWSPolly
from TTS.elevenlabs import elevenlabs
from TTS.engine_wrapper import TTSEngine
from TTS.pyttsx import pyttsx
from TTS.elevenlabs import elevenlabs
from TTS.streamlabs_polly import StreamlabsPolly
from utils import settings
from utils.console import print_table, print_step
@ -36,7 +36,9 @@ def save_text_to_mp3(reddit_obj) -> Tuple[int, int]:
voice = settings.config["settings"]["tts"]["voice_choice"]
if str(voice).casefold() in map(lambda _: _.casefold(), TTSProviders):
text_to_mp3 = TTSEngine(get_case_insensitive_key_value(TTSProviders, voice), reddit_obj)
text_to_mp3 = TTSEngine(
get_case_insensitive_key_value(TTSProviders, voice), reddit_obj
)
else:
while True:
print_step("Please choose one of the following TTS providers: ")
@ -45,12 +47,18 @@ def save_text_to_mp3(reddit_obj) -> Tuple[int, int]:
if choice.casefold() in map(lambda _: _.casefold(), TTSProviders):
break
print("Unknown Choice")
text_to_mp3 = TTSEngine(get_case_insensitive_key_value(TTSProviders, choice), reddit_obj)
text_to_mp3 = TTSEngine(
get_case_insensitive_key_value(TTSProviders, choice), reddit_obj
)
return text_to_mp3.run()
def get_case_insensitive_key_value(input_dict, key):
return next(
(value for dict_key, value in input_dict.items() if dict_key.lower() == key.lower()),
(
value
for dict_key, value in input_dict.items()
if dict_key.lower() == key.lower()
),
None,
)

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