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feat: Add smart paragraph merging mode with AI grouping
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- Add "smart" split mode that uses LLM to intelligently merge related paragraphs
- Implement two-step approach: analyze text structure, then group by semantic relevance
- Add paragraph_merging.py with analysis and grouping prompts
- Update UI to support smart mode selection with auto-detect hint
- Add i18n translations for smart mode (en_US, zh_CN)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
empty
2026-01-17 00:19:46 +08:00
parent 3a8ec576ee
commit 3d3aba3670
8 changed files with 427 additions and 6 deletions
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12
web/components/content_input.py
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@@ -65,6 +65,7 @@ def render_content_input():
"paragraph": tr("split.mode_paragraph"),
"line": tr("split.mode_line"),
"sentence": tr("split.mode_sentence"),
"smart": tr("split.mode_smart"),
}
split_mode = st.selectbox(
tr("split.mode_label"),
@@ -73,8 +74,16 @@ def render_content_input():
index=0, # Default to paragraph mode
help=tr("split.mode_help")
)
# Show info for smart mode (auto-detect segment count)
if split_mode == "smart":
st.info(tr("split.smart_auto_hint"))
target_segments = None # Auto-detect
else:
target_segments = None # Not used for other modes
else:
split_mode = "paragraph" # Default for generate mode (not used)
target_segments = None
# Title input (optional for both modes)
title = st.text_input(
@@ -105,7 +114,8 @@ def render_content_input():
"text": text,
"title": title,
"n_scenes": n_scenes,
"split_mode": split_mode
"split_mode": split_mode,
"target_segments": target_segments
}
else:

3
web/components/output_preview.py
View File

@@ -52,6 +52,7 @@ def render_single_output(pixelle_video, video_params):
title = video_params.get("title")
n_scenes = video_params.get("n_scenes", 5)
split_mode = video_params.get("split_mode", "paragraph")
target_segments = video_params.get("target_segments", 8)
bgm_path = video_params.get("bgm_path")
bgm_volume = video_params.get("bgm_volume", 0.2)
@@ -116,6 +117,7 @@ def render_single_output(pixelle_video, video_params):
"title": title if title else None,
"n_scenes": n_scenes,
"split_mode": split_mode,
"target_segments": target_segments,
"media_workflow": workflow_key,
"frame_template": frame_template,
"prompt_prefix": prompt_prefix,
@@ -222,6 +224,7 @@ def render_single_output(pixelle_video, video_params):
"title": title if title else None,
"n_scenes": n_scenes,
"split_mode": split_mode,
"target_segments": target_segments,
"media_workflow": workflow_key,
"frame_template": frame_template,
"prompt_prefix": prompt_prefix,