chore: release 3.4.0 (#2426)

Co-authored-by: Jason Cameron <git@jasoncameron.dev>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: github-actions <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: RequieMa <57754488+RequieMa@users.noreply.github.com>
Co-authored-by: prafful <praffulsharma1230@gmail.com>
Co-authored-by: M. Sanaullah <thebolly@gmail.com>
Co-authored-by: embee <emilien.bev.com@gmail.com>
Co-authored-by: Rodrigo <55567123+rodrigodasilv@users.noreply.github.com>
Co-authored-by: Emilien Bevierre <44171454+emilienbev@users.noreply.github.com>
Co-authored-by: tkhmielnitzky <tkhmielnitzky@gmail.com>
Co-authored-by: bnfone <89687390+bnfone@users.noreply.github.com>
Co-authored-by: Cyteon <129582290+Cyteon@users.noreply.github.com>

.dockerignore

@@ -1 +1,2 @@
-Dockerfile
+Dockerfile
+results

.python-version

@@ -0,0 +1 @@
+3.10

README.md

@@ -37,27 +37,61 @@ The only original thing being done is the editing and gathering of all materials
 
 ## Installation 👩‍💻
 
-1. Clone this repository
-2. Run `pip install -r requirements.txt`
-3. Run `python -m playwright install` and `python -m playwright install-deps`
+1. Clone this repository:
+    ```sh
+    git clone https://github.com/elebumm/RedditVideoMakerBot.git
+    cd RedditVideoMakerBot
+    ```
+
+2. Create and activate a virtual environment:
+    - On **Windows**:
+        ```sh
+        python -m venv ./venv
+        .\venv\Scripts\activate
+        ```
+    - On **macOS and Linux**:
+        ```sh
+        python3 -m venv ./venv
+        source ./venv/bin/activate
+        ```
+
+3. Install the required dependencies:
+    ```sh
+    pip install -r requirements.txt
+    ```
+
+4. Install Playwright and its dependencies:
+    ```sh
+    python -m playwright install
+    python -m playwright install-deps
+    ```
+
+---
 
 **EXPERIMENTAL!!!!**
 
-On macOS and Linux (debian, arch, fedora and centos, and based on those), you can run an install script that will automatically install steps 1 to 3. (requires bash)
+   - On macOS and Linux (Debian, Arch, Fedora, CentOS, and based on those), you can run an installation script that will automatically install steps 1 to 3. (requires bash)
+   - `bash <(curl -sL https://raw.githubusercontent.com/elebumm/RedditVideoMakerBot/master/install.sh)`
+   - This can also be used to update the installation
 
-`bash <(curl -sL https://raw.githubusercontent.com/elebumm/RedditVideoMakerBot/master/install.sh)`
+---
 
-This can also be used to update the installation
+5. Run the bot:
+    ```sh
+    python main.py
+    ```
 
-4. Run `python main.py`
-5. Visit [the Reddit Apps page.](https://www.reddit.com/prefs/apps), and set up an app that is a "script". Paste any URL in redirect URL. Ex:`https://jasoncameron.dev`
-6. The bot will ask you to fill in your details to connect to the Reddit API, and configure the bot to your liking
-7. Enjoy 😎
-8. If you need to reconfigure the bot, simply open the `config.toml` file and delete the lines that need to be changed. On the next run of the bot, it will help you reconfigure those options.
+6. Visit [the Reddit Apps page](https://www.reddit.com/prefs/apps), and set up an app that is a "script". Paste any URL in the redirect URL field, for example: `https://jasoncameron.dev`.
 
-(Note if you got an error installing or running the bot try first rerunning the command with a three after the name e.g. python3 or pip3)
+7. The bot will prompt you to fill in your details to connect to the Reddit API and configure the bot to your liking.
 
-If you want to read more detailed guide about the bot, please refer to the [documentation](https://reddit-video-maker-bot.netlify.app/)
+8. Enjoy 😎
+
+9. If you need to reconfigure the bot, simply open the `config.toml` file and delete the lines that need to be changed. On the next run of the bot, it will help you reconfigure those options.
+
+(Note: If you encounter any errors installing or running the bot, try using `python3` or `pip3` instead of `python` or `pip`.)
+
+For a more detailed guide about the bot, please refer to the [documentation](https://reddit-video-maker-bot.netlify.app/).
 
 ## Video
 

TTS/GTTS.py

@@ -10,7 +10,7 @@ class GTTS:
         self.max_chars = 5000
         self.voices = []
 
-    def run(self, text, filepath):
+    def run(self, text, filepath, random_voice: bool = False):
         tts = gTTS(
             text=text,
             lang=settings.config["reddit"]["thread"]["post_lang"] or "en",

TTS/elevenlabs.py

@@ -35,4 +35,4 @@ class elevenlabs:
     def randomvoice(self):
         if self.client is None:
             self.initialize()
-        return random.choice(self.client.voices.get_all().voices).voice_name
+        return random.choice(self.client.voices.get_all().voices).name

TTS/engine_wrapper.py

@@ -5,9 +5,9 @@ from typing import Tuple
 
 import numpy as np
 import translators
+from moviepy import AudioFileClip
 from moviepy.audio.AudioClip import AudioClip
-from moviepy.audio.fx.volumex import volumex
-from moviepy.editor import AudioFileClip
+from moviepy.audio.fx import MultiplyVolume
 from rich.progress import track
 
 from utils import settings
@@ -112,7 +112,6 @@ class TTSEngine:
         ]
         self.create_silence_mp3()
 
-        idy = None
         for idy, text_cut in enumerate(split_text):
             newtext = process_text(text_cut)
             # print(f"{idx}-{idy}: {newtext}\n")
@@ -144,11 +143,18 @@ class TTSEngine:
             print("OSError")
 
     def call_tts(self, filename: str, text: str):
-        self.tts_module.run(
-            text,
-            filepath=f"{self.path}/{filename}.mp3",
-            random_voice=settings.config["settings"]["tts"]["random_voice"],
-        )
+        if settings.config["settings"]["tts"]["voice_choice"] == "googletranslate":
+            # GTTS does not have the argument 'random_voice'
+            self.tts_module.run(
+                text,
+                filepath=f"{self.path}/{filename}.mp3",
+            )
+        else:
+            self.tts_module.run(
+                text,
+                filepath=f"{self.path}/{filename}.mp3",
+                random_voice=settings.config["settings"]["tts"]["random_voice"],
+            )
         # try:
         #     self.length += MP3(f"{self.path}/{filename}.mp3").info.length
         # except (MutagenError, HeaderNotFoundError):
@@ -164,12 +170,12 @@ class TTSEngine:
     def create_silence_mp3(self):
         silence_duration = settings.config["settings"]["tts"]["silence_duration"]
         silence = AudioClip(
-            make_frame=lambda t: np.sin(440 * 2 * np.pi * t),
+            frame_function=lambda t: np.sin(440 * 2 * np.pi * t),
             duration=silence_duration,
             fps=44100,
         )
-        silence = volumex(silence, 0)
-        silence.write_audiofile(f"{self.path}/silence.mp3", fps=44100, verbose=False, logger=None)
+        silence = silence.with_effects([MultiplyVolume(0)])
+        silence.write_audiofile(f"{self.path}/silence.mp3", fps=44100, logger=None)
 
 
 def process_text(text: str, clean: bool = True):

TTS/openai_tts.py

@@ -0,0 +1,91 @@
+import random
+
+import requests
+
+from utils import settings
+
+
+class OpenAITTS:
+    """
+    A Text-to-Speech engine that uses an OpenAI-like TTS API endpoint to generate audio from text.
+
+    Attributes:
+        max_chars (int): Maximum number of characters allowed per API call.
+        api_key (str): API key loaded from settings.
+        api_url (str): The complete API endpoint URL, built from a base URL provided in the config.
+        available_voices (list): Static list of supported voices (according to current docs).
+    """
+
+    def __init__(self):
+        # Set maximum input size based on API limits (4096 characters per request)
+        self.max_chars = 4096
+        self.api_key = settings.config["settings"]["tts"].get("openai_api_key")
+        if not self.api_key:
+            raise ValueError(
+                "No OpenAI API key provided in settings! Please set 'openai_api_key' in your config."
+            )
+
+        # Read the base URL from the configuration (e.g., "https://api.openai.com/v1" or "https://api.openai.com/v1/")
+        base_url = settings.config["settings"]["tts"].get(
+            "openai_api_url", "https://api.openai.com/v1"
+        )
+        # Remove trailing slash if present
+        if base_url.endswith("/"):
+            base_url = base_url[:-1]
+        # Append the TTS-specific path
+        self.api_url = base_url + "/audio/speech"
+
+        # Set the available voices to a static list as per OpenAI TTS documentation.
+        self.available_voices = self.get_available_voices()
+
+    def get_available_voices(self):
+        """
+        Return a static list of supported voices for the OpenAI TTS API.
+
+        According to the documentation, supported voices include:
+            "alloy", "ash", "coral", "echo", "fable", "onyx", "nova", "sage", "shimmer"
+        """
+        return ["alloy", "ash", "coral", "echo", "fable", "onyx", "nova", "sage", "shimmer"]
+
+    def randomvoice(self):
+        """
+        Select and return a random voice from the available voices.
+        """
+        return random.choice(self.available_voices)
+
+    def run(self, text, filepath, random_voice: bool = False):
+        """
+        Convert the provided text to speech and save the resulting audio to the specified filepath.
+
+        Args:
+            text (str): The input text to convert.
+            filepath (str): The file path where the generated audio will be saved.
+            random_voice (bool): If True, select a random voice from the available voices.
+        """
+        # Choose voice based on configuration or randomly if requested.
+        if random_voice:
+            voice = self.randomvoice()
+        else:
+            voice = settings.config["settings"]["tts"].get("openai_voice_name", "alloy")
+            voice = str(voice).lower()  # Ensure lower-case as expected by the API
+
+        # Select the model from configuration; default to 'tts-1'
+        model = settings.config["settings"]["tts"].get("openai_model", "tts-1")
+
+        # Create payload for API request
+        payload = {
+            "model": model,
+            "voice": voice,
+            "input": text,
+            "response_format": "mp3",  # allowed formats: "mp3", "aac", "opus", "flac", "pcm" or "wav"
+        }
+        headers = {"Authorization": f"Bearer {self.api_key}", "Content-Type": "application/json"}
+        try:
+            response = requests.post(self.api_url, headers=headers, json=payload)
+            if response.status_code != 200:
+                raise RuntimeError(f"Error from TTS API: {response.status_code} {response.text}")
+            # Write response as binary into file.
+            with open(filepath, "wb") as f:
+                f.write(response.content)
+        except Exception as e:
+            raise RuntimeError(f"Failed to generate audio with OpenAI TTS API: {str(e)}")

main.py

@@ -4,7 +4,7 @@ import sys
 from os import name
 from pathlib import Path
 from subprocess import Popen
-from typing import NoReturn
+from typing import Dict, NoReturn
 
 from prawcore import ResponseException
 
@@ -13,7 +13,7 @@ from utils import settings
 from utils.cleanup import cleanup
 from utils.console import print_markdown, print_step, print_substep
 from utils.ffmpeg_install import ffmpeg_install
-from utils.id import id
+from utils.id import extract_id
 from utils.version import checkversion
 from video_creation.background import (
     chop_background,
@@ -25,7 +25,7 @@ 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
 
-__VERSION__ = "3.3.0"
+__VERSION__ = "3.4.0"
 
 print(
     """
@@ -42,11 +42,15 @@ print_markdown(
 )
 checkversion(__VERSION__)
 
+reddit_id: str
+reddit_object: Dict[str, str | list]
+
 
 def main(POST_ID=None) -> None:
-    global redditid, reddit_object
+    global reddit_id, reddit_object
     reddit_object = get_subreddit_threads(POST_ID)
-    redditid = id(reddit_object)
+    reddit_id = extract_id(reddit_object)
+    print_substep(f"Thread ID is {reddit_id}", style="bold blue")
     length, number_of_comments = save_text_to_mp3(reddit_object)
     length = math.ceil(length)
     get_screenshots_of_reddit_posts(reddit_object, number_of_comments)
@@ -64,22 +68,22 @@ def run_many(times) -> None:
     for x in range(1, times + 1):
         print_step(
             f'on the {x}{("th", "st", "nd", "rd", "th", "th", "th", "th", "th", "th")[x % 10]} iteration of {times}'
-        )  # correct 1st 2nd 3rd 4th 5th....
+        )
         main()
         Popen("cls" if name == "nt" else "clear", shell=True).wait()
 
 
 def shutdown() -> NoReturn:
-    if "redditid" in globals():
+    if "reddit_id" in globals():
         print_markdown("## Clearing temp files")
-        cleanup(redditid)
+        cleanup(reddit_id)
 
     print("Exiting...")
     sys.exit()
 
 
 if __name__ == "__main__":
-    if sys.version_info.major != 3 or sys.version_info.minor not in [10, 11]:
+    if sys.version_info.major != 3 or sys.version_info.minor not in [10, 11, 12]:
         print(
             "Hey! Congratulations, you've made it so far (which is pretty rare with no Python 3.10). Unfortunately, this program only works on Python 3.10. Please install Python 3.10 and try again."
         )
@@ -122,6 +126,7 @@ if __name__ == "__main__":
     except Exception as err:
         config["settings"]["tts"]["tiktok_sessionid"] = "REDACTED"
         config["settings"]["tts"]["elevenlabs_api_key"] = "REDACTED"
+        config["settings"]["tts"]["openai_api_key"] = "REDACTED"
         print_step(
             f"Sorry, something went wrong with this version! Try again, and feel free to report this issue at GitHub or the Discord community.\n"
             f"Version: {__VERSION__} \n"

requirements.txt

@@ -1,24 +1,21 @@
-boto3==1.34.127
-botocore==1.34.127
-gTTS==2.5.1
-moviepy==1.0.3
-playwright==1.44.0
-praw==7.7.1
-prawcore~=2.3.0
+boto3==1.36.8
+botocore==1.36.8
+gTTS==2.5.4
+moviepy==2.2.1
+playwright==1.49.1
+praw==7.8.1
 requests==2.32.3
-rich==13.7.1
+rich==13.9.4
 toml==0.10.2
-translators==5.9.2
-pyttsx3==2.90
-Pillow==10.3.0
-tomlkit==0.12.5
-Flask==3.0.3
+translators==5.9.9
+pyttsx3==2.98
+tomlkit==0.13.2
+Flask==3.1.1
 clean-text==0.6.0
-unidecode==1.3.8
-spacy==3.7.5
-torch==2.3.1
-transformers==4.41.2
+unidecode==1.4.0
+spacy==3.8.7
+torch==2.7.0
+transformers==4.52.4
 ffmpeg-python==0.2.0
-elevenlabs==1.3.0
-yt-dlp==2024.5.27
-numpy==1.26.4
+elevenlabs==1.57.0
+yt-dlp==2025.10.22

utils/.config.template.toml

@@ -44,7 +44,7 @@ background_thumbnail_font_size = { optional = true, type = "int", default = 96,
 background_thumbnail_font_color = { optional = true, default = "255,255,255", example = "255,255,255", explanation = "Font color in RGB format for the thumbnail text" }
 
 [settings.tts]
-voice_choice = { optional = false, default = "tiktok", options = ["elevenlabs", "streamlabspolly", "tiktok", "googletranslate", "awspolly", "pyttsx", ], example = "tiktok", explanation = "The voice platform used for TTS generation. " }
+voice_choice = { optional = false, default = "tiktok", options = ["elevenlabs", "streamlabspolly", "tiktok", "googletranslate", "awspolly", "pyttsx", "OpenAI"], example = "tiktok", explanation = "The voice platform used for TTS generation. " }
 random_voice = { optional = false, type = "bool", default = true, example = true, options = [true, false,], explanation = "Randomizes the voice used for each comment" }
 elevenlabs_voice_name = { optional = false, default = "Bella", example = "Bella", explanation = "The voice used for elevenlabs", options = ["Adam", "Antoni", "Arnold", "Bella", "Domi", "Elli", "Josh", "Rachel", "Sam", ] }
 elevenlabs_api_key = { optional = true, example = "21f13f91f54d741e2ae27d2ab1b99d59", explanation = "Elevenlabs API key" }
@@ -56,3 +56,7 @@ python_voice = { optional = false, default = "1", example = "1", explanation = "
 py_voice_num = { optional = false, default = "2", example = "2", explanation = "The number of system voices (2 are pre-installed in Windows)" }
 silence_duration = { optional = true, example = "0.1", explanation = "Time in seconds between TTS comments", default = 0.3, type = "float" }
 no_emojis = { optional = false, type = "bool", default = false, example = false, options = [true, false,], explanation = "Whether to remove emojis from the comments" }
+openai_api_url = { optional = true, default = "https://api.openai.com/v1/", example = "https://api.openai.com/v1/", explanation = "The API endpoint URL for OpenAI TTS generation" }
+openai_api_key = { optional = true, example = "sk-abc123def456...", explanation = "Your OpenAI API key for TTS generation" }
+openai_voice_name = { optional = false, default = "alloy", example = "alloy", explanation = "The voice used for OpenAI TTS generation", options = ["alloy", "ash", "coral", "echo", "fable", "onyx", "nova", "sage", "shimmer", "af_heart"] }
+openai_model = { optional = false, default = "tts-1", example = "tts-1", explanation = "The model variant used for OpenAI TTS generation", options = ["tts-1", "tts-1-hd", "gpt-4o-mini-tts"] }

utils/ai_methods.py

@@ -12,7 +12,7 @@ def mean_pooling(model_output, attention_mask):
     )
 
 
-# This function sort the given threads based on their total similarity with the given keywords
+# This function sorts the given threads based on their total similarity with the given keywords
 def sort_by_similarity(thread_objects, keywords):
     # Initialize tokenizer + model.
     tokenizer = AutoTokenizer.from_pretrained("sentence-transformers/all-MiniLM-L6-v2")
@@ -34,7 +34,7 @@ def sort_by_similarity(thread_objects, keywords):
         threads_embeddings = model(**encoded_threads)
     threads_embeddings = mean_pooling(threads_embeddings, encoded_threads["attention_mask"])
 
-    # Keywords inference
+    # Keyword inference
     encoded_keywords = tokenizer(keywords, padding=True, truncation=True, return_tensors="pt")
     with torch.no_grad():
         keywords_embeddings = model(**encoded_keywords)
@@ -53,7 +53,7 @@ def sort_by_similarity(thread_objects, keywords):
 
     similarity_scores, indices = torch.sort(total_scores, descending=True)
 
-    threads_sentences = np.array(threads_sentences)[indices.numpy()]
+    # threads_sentences = np.array(threads_sentences)[indices.numpy()]
 
     thread_objects = np.array(thread_objects)[indices.numpy()].tolist()
 

utils/console.py

@@ -102,7 +102,7 @@ def handle_input(
         user_input = input("").strip()
         if check_type is not False:
             try:
-                isinstance(eval(user_input), check_type)
+                isinstance(eval(user_input), check_type)  # fixme: remove eval
                 return check_type(user_input)
             except:
                 console.print(

utils/ffmpeg_install.py

@@ -28,8 +28,8 @@ def ffmpeg_install_windows():
             for root, dirs, files in os.walk(ffmpeg_extracted_folder, topdown=False):
                 for file in files:
                     os.remove(os.path.join(root, file))
-                for dir in dirs:
-                    os.rmdir(os.path.join(root, dir))
+                for directory in dirs:
+                    os.rmdir(os.path.join(root, directory))
             os.rmdir(ffmpeg_extracted_folder)
 
         # Extract FFmpeg
@@ -110,7 +110,7 @@ def ffmpeg_install():
             stdout=subprocess.PIPE,
             stderr=subprocess.PIPE,
         )
-    except FileNotFoundError as e:
+    except FileNotFoundError:
         # Check if there's ffmpeg.exe in the current directory
         if os.path.exists("./ffmpeg.exe"):
             print(

utils/gui_utils.py

@@ -25,7 +25,9 @@ def get_checks():
 
 
 # Get current config (from config.toml) as dict
-def get_config(obj: dict, done={}):
+def get_config(obj: dict, done=None):
+    if done is None:
+        done = {}
     for key in obj.keys():
         if not isinstance(obj[key], dict):
             done[key] = obj[key]
@@ -44,13 +46,13 @@ def check(value, checks):
 
     if not incorrect and "type" in checks:
         try:
-            value = eval(checks["type"])(value)
+            value = eval(checks["type"])(value)  # fixme remove eval
         except Exception:
             incorrect = True
 
     if (
         not incorrect and "options" in checks and value not in checks["options"]
-    ):  # FAILSTATE Value is not one of the options
+    ):  # FAILSTATE Value isn't one of the options
         incorrect = True
     if (
         not incorrect
@@ -59,7 +61,7 @@ def check(value, checks):
             (isinstance(value, str) and re.match(checks["regex"], value) is None)
             or not isinstance(value, str)
         )
-    ):  # FAILSTATE Value doesn't match regex, or has regex but is not a string.
+    ):  # FAILSTATE Value doesn't match regular expression, or has regular expression but isn't a string.
         incorrect = True
 
     if (
@@ -88,17 +90,17 @@ def check(value, checks):
     return value
 
 
-# Modify settings (after form is submitted)
+# Modify settings (after the form is submitted)
 def modify_settings(data: dict, config_load, checks: dict):
     # Modify config settings
-    def modify_config(obj: dict, name: str, value: any):
+    def modify_config(obj: dict, config_name: str, value: any):
         for key in obj.keys():
-            if name == key:
+            if config_name == key:
                 obj[key] = value
             elif not isinstance(obj[key], dict):
                 continue
             else:
-                modify_config(obj[key], name, value)
+                modify_config(obj[key], config_name, value)
 
     # Remove empty/incorrect key-value pairs
     data = {key: value for key, value in data.items() if value and key in checks.keys()}
@@ -158,7 +160,7 @@ def add_background(youtube_uri, filename, citation, position):
 
     youtube_uri = f"https://www.youtube.com/watch?v={regex.group(1)}"
 
-    # Check if position is valid
+    # Check if the position is valid
     if position == "" or position == "center":
         position = "center"
 
@@ -178,7 +180,7 @@ def add_background(youtube_uri, filename, citation, position):
 
     filename = filename.replace(" ", "_")
 
-    # Check if background doesn't already exist
+    # Check if the background doesn't already exist
     with open("utils/backgrounds.json", "r", encoding="utf-8") as backgrounds:
         data = json.load(backgrounds)
 

utils/id.py

@@ -1,12 +1,14 @@
 import re
+from typing import Optional
 
 from utils.console import print_substep
 
 
-def id(reddit_obj: dict):
+def extract_id(reddit_obj: dict, field: Optional[str] = "thread_id"):
     """
     This function takes a reddit object and returns the post id
     """
-    id = re.sub(r"[^\w\s-]", "", reddit_obj["thread_id"])
-    print_substep(f"Thread ID is {id}", style="bold blue")
-    return id
+    if field not in reddit_obj.keys():
+        raise ValueError(f"Field '{field}' not found in reddit object")
+    reddit_id = re.sub(r"[^\w\s-]", "", reddit_obj[field])
+    return reddit_id

utils/imagenarator.py

@@ -7,6 +7,7 @@ from rich.progress import track
 
 from TTS.engine_wrapper import process_text
 from utils.fonts import getheight, getsize
+from utils.id import extract_id
 
 
 def draw_multiple_line_text(
@@ -58,18 +59,16 @@ def imagemaker(theme, reddit_obj: dict, txtclr, padding=5, transparent=False) ->
     Render Images for video
     """
     texts = reddit_obj["thread_post"]
-    id = re.sub(r"[^\w\s-]", "", reddit_obj["thread_id"])
-
+    reddit_id = extract_id(reddit_obj)
     if transparent:
         font = ImageFont.truetype(os.path.join("fonts", "Roboto-Bold.ttf"), 100)
     else:
         font = ImageFont.truetype(os.path.join("fonts", "Roboto-Regular.ttf"), 100)
-    size = (1920, 1080)
 
-    image = Image.new("RGBA", size, theme)
+    size = (1920, 1080)
 
     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)
-        image.save(f"assets/temp/{id}/png/img{idx}.png")
+        image.save(f"assets/temp/{reddit_id}/png/img{idx}.png")

utils/settings.py

@@ -30,7 +30,7 @@ def check(value, checks, name):
         incorrect = True
     if not incorrect and "type" in checks:
         try:
-            value = eval(checks["type"])(value)
+            value = eval(checks["type"])(value)  # fixme remove eval
         except:
             incorrect = True
 
@@ -78,7 +78,7 @@ def check(value, checks, name):
             + str(name)
             + "[#F7768E bold]=",
             extra_info=get_check_value("explanation", ""),
-            check_type=eval(get_check_value("type", "False")),
+            check_type=eval(get_check_value("type", "False")),  # fixme remove eval
             default=get_check_value("default", NotImplemented),
             match=get_check_value("regex", ""),
             err_message=get_check_value("input_error", "Incorrect input"),

video_creation/background.py

@@ -6,7 +6,7 @@ from random import randrange
 from typing import Any, Dict, Tuple
 
 import yt_dlp
-from moviepy.editor import AudioFileClip, VideoFileClip
+from moviepy import AudioFileClip, VideoFileClip
 from moviepy.video.io.ffmpeg_tools import ffmpeg_extract_subclip
 
 from utils import settings
@@ -14,26 +14,26 @@ from utils.console import print_step, print_substep
 
 
 def load_background_options():
-    background_options = {}
+    _background_options = {}
     # Load background videos
     with open("./utils/background_videos.json") as json_file:
-        background_options["video"] = json.load(json_file)
+        _background_options["video"] = json.load(json_file)
 
     # Load background audios
     with open("./utils/background_audios.json") as json_file:
-        background_options["audio"] = json.load(json_file)
+        _background_options["audio"] = json.load(json_file)
 
     # Remove "__comment" from backgrounds
-    del background_options["video"]["__comment"]
-    del background_options["audio"]["__comment"]
+    del _background_options["video"]["__comment"]
+    del _background_options["audio"]["__comment"]
 
-    for name in list(background_options["video"].keys()):
-        pos = background_options["video"][name][3]
+    for name in list(_background_options["video"].keys()):
+        pos = _background_options["video"][name][3]
 
         if pos != "center":
-            background_options["video"][name][3] = lambda t: ("center", pos + t)
+            _background_options["video"][name][3] = lambda t: ("center", pos + t)
 
-    return background_options
+    return _background_options
 
 
 def get_start_and_end_times(video_length: int, length_of_clip: int) -> Tuple[int, int]:
@@ -124,10 +124,11 @@ def chop_background(background_config: Dict[str, Tuple], video_length: int, redd
     """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:
+        reddit_object (Dict[str,str]) : Reddit object
         background_config (Dict[str,Tuple]]) : Current background configuration
         video_length (int): Length of the clip where the background footage is to be taken out of
     """
-    id = re.sub(r"[^\w\s-]", "", reddit_object["thread_id"])
+    thread_id = re.sub(r"[^\w\s-]", "", reddit_object["thread_id"])
 
     if settings.config["settings"]["background"][f"background_audio_volume"] == 0:
         print_step("Volume was set to 0. Skipping background audio creation . . .")
@@ -138,8 +139,8 @@ def chop_background(background_config: Dict[str, Tuple], video_length: int, redd
         start_time_audio, end_time_audio = get_start_and_end_times(
             video_length, background_audio.duration
         )
-        background_audio = background_audio.subclip(start_time_audio, end_time_audio)
-        background_audio.write_audiofile(f"assets/temp/{id}/background.mp3")
+        background_audio = background_audio.subclipped(start_time_audio, end_time_audio)
+        background_audio.write_audiofile(f"assets/temp/{thread_id}/background.mp3")
 
     print_step("Finding a spot in the backgrounds video to chop...✂️")
     video_choice = f"{background_config['video'][2]}-{background_config['video'][1]}"
@@ -149,17 +150,18 @@ def chop_background(background_config: Dict[str, Tuple], video_length: int, redd
     )
     # Extract video subclip
     try:
+        with VideoFileClip(f"assets/backgrounds/video/{video_choice}") as video:
+            new = video.subclipped(start_time_video, end_time_video)
+            new.write_videofile(f"assets/temp/{thread_id}/background.mp4")
+
+    except (OSError, IOError):  # ffmpeg issue see #348
+        print_substep("FFMPEG issue. Trying again...")
         ffmpeg_extract_subclip(
             f"assets/backgrounds/video/{video_choice}",
             start_time_video,
             end_time_video,
-            targetname=f"assets/temp/{id}/background.mp4",
+            outputfile=f"assets/temp/{thread_id}/background.mp4",
         )
-    except (OSError, IOError):  # ffmpeg issue see #348
-        print_substep("FFMPEG issue. Trying again...")
-        with VideoFileClip(f"assets/backgrounds/video/{video_choice}") as video:
-            new = video.subclip(start_time_video, end_time_video)
-            new.write_videofile(f"assets/temp/{id}/background.mp4")
     print_substep("Background video chopped successfully!", style="bold green")
     return background_config["video"][2]
 

video_creation/final_video.py

@@ -19,6 +19,7 @@ from utils import settings
 from utils.cleanup import cleanup
 from utils.console import print_step, print_substep
 from utils.fonts import getheight
+from utils.id import extract_id
 from utils.thumbnail import create_thumbnail
 from utils.videos import save_data
 
@@ -92,7 +93,7 @@ def prepare_background(reddit_id: str, W: int, H: int) -> str:
             output_path,
             an=None,
             **{
-                "c:v": "h264",
+                "c:v": "h264_nvenc",
                 "b:v": "20M",
                 "b:a": "192k",
                 "threads": multiprocessing.cpu_count(),
@@ -108,19 +109,61 @@ def prepare_background(reddit_id: str, W: int, H: int) -> str:
     return output_path
 
 
+def get_text_height(draw, text, font, max_width):
+    lines = textwrap.wrap(text, width=max_width)
+    total_height = 0
+    for line in lines:
+        _, _, _, height = draw.textbbox((0, 0), line, font=font)
+        total_height += height
+    return total_height
+
+
 def create_fancy_thumbnail(image, text, text_color, padding, wrap=35):
+    """
+    It will take the 1px from the middle of the template and will be resized (stretched) vertically to accommodate the extra height needed for the title.
+    """
     print_step(f"Creating fancy thumbnail for: {text}")
     font_title_size = 47
     font = ImageFont.truetype(os.path.join("fonts", "Roboto-Bold.ttf"), font_title_size)
     image_width, image_height = image.size
-    lines = textwrap.wrap(text, width=wrap)
-    y = (
-        (image_height / 2)
-        - (((getheight(font, text) + (len(lines) * padding) / len(lines)) * len(lines)) / 2)
-        + 30
-    )
-    draw = ImageDraw.Draw(image)
 
+    # Calculate text height to determine new image height
+    draw = ImageDraw.Draw(image)
+    text_height = get_text_height(draw, text, font, wrap)
+    lines = textwrap.wrap(text, width=wrap)
+    # This is -50 to reduce the empty space at the bottom of the image,
+    # change it as per your requirement if needed otherwise leave it.
+    new_image_height = image_height + text_height + padding * (len(lines) - 1) - 50
+
+    # Separate the image into top, middle (1px), and bottom parts
+    top_part_height = image_height // 2
+    middle_part_height = 1  # 1px height middle section
+    bottom_part_height = image_height - top_part_height - middle_part_height
+
+    top_part = image.crop((0, 0, image_width, top_part_height))
+    middle_part = image.crop((0, top_part_height, image_width, top_part_height + middle_part_height))
+    bottom_part = image.crop((0, top_part_height + middle_part_height, image_width, image_height))
+
+    # Stretch the middle part
+    new_middle_height = new_image_height - top_part_height - bottom_part_height
+    middle_part = middle_part.resize((image_width, new_middle_height))
+
+    # Create new image with the calculated height
+    new_image = Image.new("RGBA", (image_width, new_image_height))
+
+    # Paste the top, stretched middle, and bottom parts into the new image
+    new_image.paste(top_part, (0, 0))
+    new_image.paste(middle_part, (0, top_part_height))
+    new_image.paste(bottom_part, (0, top_part_height + new_middle_height))
+
+    # Draw the title text on the new image
+    draw = ImageDraw.Draw(new_image)
+    y = top_part_height + padding
+    for line in lines:
+        draw.text((120, y), line, font=font, fill=text_color, align="left")
+        y += get_text_height(draw, line, font, wrap) + padding
+
+    # Draw the username "PlotPulse" at the specific position
     username_font = ImageFont.truetype(os.path.join("fonts", "Roboto-Bold.ttf"), 30)
     draw.text(
         (205, 825),
@@ -130,39 +173,7 @@ def create_fancy_thumbnail(image, text, text_color, padding, wrap=35):
         align="left",
     )
 
-    if len(lines) == 3:
-        lines = textwrap.wrap(text, width=wrap + 10)
-        font_title_size = 40
-        font = ImageFont.truetype(os.path.join("fonts", "Roboto-Bold.ttf"), font_title_size)
-        y = (
-            (image_height / 2)
-            - (((getheight(font, text) + (len(lines) * padding) / len(lines)) * len(lines)) / 2)
-            + 35
-        )
-    elif len(lines) == 4:
-        lines = textwrap.wrap(text, width=wrap + 10)
-        font_title_size = 35
-        font = ImageFont.truetype(os.path.join("fonts", "Roboto-Bold.ttf"), font_title_size)
-        y = (
-            (image_height / 2)
-            - (((getheight(font, text) + (len(lines) * padding) / len(lines)) * len(lines)) / 2)
-            + 40
-        )
-    elif len(lines) > 4:
-        lines = textwrap.wrap(text, width=wrap + 10)
-        font_title_size = 30
-        font = ImageFont.truetype(os.path.join("fonts", "Roboto-Bold.ttf"), font_title_size)
-        y = (
-            (image_height / 2)
-            - (((getheight(font, text) + (len(lines) * padding) / len(lines)) * len(lines)) / 2)
-            + 30
-        )
-
-    for line in lines:
-        draw.text((120, y), line, font=font, fill=text_color, align="left")
-        y += getheight(font, line) + padding
-
-    return image
+    return new_image
 
 
 def merge_background_audio(audio: ffmpeg, reddit_id: str):
@@ -204,7 +215,7 @@ def make_final_video(
 
     opacity = settings.config["settings"]["opacity"]
 
-    reddit_id = re.sub(r"[^\w\s-]", "", reddit_obj["thread_id"])
+    reddit_id = extract_id(reddit_obj)
 
     allowOnlyTTSFolder: bool = (
         settings.config["settings"]["background"]["enable_extra_audio"]
@@ -343,8 +354,8 @@ def make_final_video(
             )
             current_time += audio_clips_durations[i]
 
-    title = re.sub(r"[^\w\s-]", "", reddit_obj["thread_title"])
-    idx = re.sub(r"[^\w\s-]", "", reddit_obj["thread_id"])
+    title = extract_id(reddit_obj, "thread_title")
+    idx = extract_id(reddit_obj)
     title_thumb = reddit_obj["thread_title"]
 
     filename = f"{name_normalize(title)[:251]}"
@@ -427,7 +438,7 @@ def make_final_video(
                 path,
                 f="mp4",
                 **{
-                    "c:v": "h264",
+                    "c:v": "h264_nvenc",
                     "b:v": "20M",
                     "b:a": "192k",
                     "threads": multiprocessing.cpu_count(),
@@ -457,7 +468,7 @@ def make_final_video(
                     path,
                     f="mp4",
                     **{
-                        "c:v": "h264",
+                        "c:v": "h264_nvenc",
                         "b:v": "20M",
                         "b:a": "192k",
                         "threads": multiprocessing.cpu_count(),

video_creation/screenshot_downloader.py

@@ -34,7 +34,7 @@ def get_screenshots_of_reddit_posts(reddit_object: dict, screenshot_num: int):
     # ! Make sure the reddit screenshots folder exists
     Path(f"assets/temp/{reddit_id}/png").mkdir(parents=True, exist_ok=True)
 
-    # set the theme and disable non-essential cookies
+    # set the theme and turn off non-essential cookies
     if settings.config["settings"]["theme"] == "dark":
         cookie_file = open("./video_creation/data/cookie-dark-mode.json", encoding="utf-8")
         bgcolor = (33, 33, 36, 255)
@@ -60,7 +60,6 @@ def get_screenshots_of_reddit_posts(reddit_object: dict, screenshot_num: int):
         transparent = False
 
     if storymode and settings.config["settings"]["storymodemethod"] == 1:
-        # for idx,item in enumerate(reddit_object["thread_post"]):
         print_substep("Generating images...")
         return imagemaker(
             theme=bgcolor,
@@ -82,11 +81,15 @@ def get_screenshots_of_reddit_posts(reddit_object: dict, screenshot_num: int):
         dsf = (W // 600) + 1
 
         context = browser.new_context(
-            locale=lang or "en-us",
+            locale=lang or "en-CA,en;q=0.9",
             color_scheme="dark",
             viewport=ViewportSize(width=W, height=H),
             device_scale_factor=dsf,
-            user_agent="Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126.0.0.0 Safari/537.36",
+            user_agent=f"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/{browser.version}.0.0.0 Safari/537.36",
+            extra_http_headers={
+                "Dnt": "1",
+                "Sec-Ch-Ua": '"Not A(Brand";v="8", "Chromium";v="132", "Google Chrome";v="132"',
+            },
         )
         cookies = json.load(cookie_file)
         cookie_file.close()
@@ -107,17 +110,12 @@ def get_screenshots_of_reddit_posts(reddit_object: dict, screenshot_num: int):
 
         login_error_div = page.locator(".AnimatedForm__errorMessage").first
         if login_error_div.is_visible():
-            login_error_message = login_error_div.inner_text()
-            if login_error_message.strip() == "":
-                # The div element is empty, no error
-                pass
-            else:
-                # The div contains an error message
-                print_substep(
-                    "Your reddit credentials are incorrect! Please modify them accordingly in the config.toml file.",
-                    style="red",
-                )
-                exit()
+
+            print_substep(
+                "Your reddit credentials are incorrect! Please modify them accordingly in the config.toml file.",
+                style="red",
+            )
+            exit()
         else:
             pass
 

video_creation/voices.py

@@ -6,6 +6,7 @@ from TTS.aws_polly import AWSPolly
 from TTS.elevenlabs import elevenlabs
 from TTS.engine_wrapper import TTSEngine
 from TTS.GTTS import GTTS
+from TTS.openai_tts import OpenAITTS
 from TTS.pyttsx import pyttsx
 from TTS.streamlabs_polly import StreamlabsPolly
 from TTS.TikTok import TikTok
@@ -21,6 +22,7 @@ TTSProviders = {
     "TikTok": TikTok,
     "pyttsx": pyttsx,
     "ElevenLabs": elevenlabs,
+    "OpenAI": OpenAITTS,
 }