Core changes:
- utils/caption_renderer.py: new single-responsibility rendering engine
- Three display modes: aligned, single, multi
- 8-direction stroke technique for clean text outlines
- Transparent PNG overlays (no more solid box)
- utils/whisper_aligner.py: WhisperX forced alignment module
- Word-level timestamps from any TTS audio
- Graceful fallback to single mode if unavailable
- utils/imagenarator.py: refactored as thin orchestrator
- Delegates to caption_renderer
- Saves timing_map.json for final_video sync
- utils/sentiment_map.py: added STYLE_MAP with display_mode per sentiment
- utils/sentiment.py: stores sentiment in settings for downstream use
- TTS/engine_wrapper.py: runs WhisperX after each TTS save
- video_creation/final_video.py: reads timing_map, handles absolute + fraction timing
- video_creation/screenshot_downloader.py: clean imagemaker call
Assets:
- fonts/: added Montserrat, Nunito, Oswald, Raleway, Lato, Anton font families
Dependencies:
- requirements.txt: updated with all current dependencies
SENTIMENT DETECTION (utils/sentiment.py)
- Integrate DeepSeek API using OpenAI-compatible SDK to classify each Reddit post
- Detect sentiment from post title + body (first 500 chars) into 8 labels:
sad, happy, angry, mysterious, funny, dramatic, wholesome, scary
- Override in-memory config per post (background_video, background_audio, voice)
- Falls back to 'dramatic' label if DeepSeek API fails or is unavailable
- Can be enabled/disabled via config.toml [deepseek] enabled = true/false
SENTIMENT MAPS (utils/sentiment_map.py)
- BACKGROUND_MAP: maps each sentiment to optimal background video + audio pair
- OPENAI_VOICE_MAP: maps each sentiment to best-fit OpenAI TTS voice
- ELEVENLABS_VOICE_MAP: maps each sentiment to best-fit ElevenLabs voice
(fully mapped to real voices: Adam, George, Harry, Callum, Jessica, Brian, Laura, Matilda)
- All overrides are in-memory only — config.toml is never modified
METADATA GENERATION (utils/sentiment.py)
- Single DeepSeek API call generates both sentiment + social media metadata
- Generates per-platform content:
* YouTube: title (max 70 chars) + full description
* TikTok: caption (max 150 chars) with hashtags
* Instagram: caption with hashtags
* Facebook: caption
* Hashtags: list of relevant tags
- Falls back to basic title-based metadata if DeepSeek fails
- Saves metadata.json inside each video's output folder
RESULTS FOLDER RESTRUCTURE (video_creation/final_video.py)
- Changed output structure from results/{subreddit}/{filename}.mp4
- New structure: results/{actual_subreddit}/{thread_id}_{sentiment}/video.mp4
- Each video now has its own isolated folder containing:
* video.mp4
* metadata.json
* thumbnail.png (if thumbnail generation is enabled)
* OnlyTTS/video.mp4 (if enable_extra_audio is enabled)
SUBREDDIT TRACKING (reddit/subreddit.py)
- Added thread_subreddit field to reddit_object using submission.subreddit.display_name
- Posts from r/AmItheAsshole now save to results/AmItheAsshole/
- Posts from r/tifu now save to results/tifu/
- Posts from r/confession now save to results/confession/
- Previously all posts were grouped under the combined subreddit string
PIPELINE INTEGRATION (main.py)
- Added apply_sentiment_config() call between post fetching and video generation
- Sentiment detection runs before TTS and background selection
- Controlled by settings.config['deepseek']['enabled'] flag
CONFIG CHANGES (config.toml + utils/.config.template.toml)
- Added [deepseek] section with api_key and enabled fields
- elevenlabs_voice_name changed from optional=false to optional=true
- Prevents prompt appearing when ElevenLabs is not the selected TTS provider
- Fix ElevenLabs voice lookup by name using voice_id instead of name string
- Update model from eleven_multilingual_v1 to eleven_multilingual_v2 (free tier)
- Remove hardcoded voice options restriction in config template
- Update default voice to Sarah
- Enable ffmpeg verbose output for better error debugging
In get_latest_ms_progress(), the value of out_time_ms can equal 'N/A\n', this code confirms this will not be the case in the future. Since this is only a progress indicator, it should not crash the program.
The RedditVideoMakerBot has been updated to version 3.2, bringing exciting new features and bug fixes. Introducing **ElevenLabs TTS** for high-quality audio. Enjoy **background audio** and **random voices per comment**. Run the bot with one click using the **bat file**. Use the **zoom setting** for bigger text. Bug fixes include video downloader improvements, random story mode fix, updated dependencies, code optimizations, text size adjustments, enhanced Reddit credentials validation, and translator fixes. Enjoy the new features and **thanks to all contributors**!
Abdessamad Haddouche
Jason Cameron
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