支持批量生成功能

This commit is contained in:
puke
2025-11-18 17:51:52 +08:00
parent dfa2f76c5b
commit 2ac03b4b48
5 changed files with 577 additions and 45 deletions

View File

@@ -21,60 +21,152 @@ from web.utils.async_helpers import get_project_version
def render_content_input():
"""Render content input section (left column)"""
"""Render content input section (left column) with batch support"""
with st.container(border=True):
st.markdown(f"**{tr('section.content_input')}**")
# Processing mode selection
mode = st.radio(
"Processing Mode",
["generate", "fixed"],
horizontal=True,
format_func=lambda x: tr(f"mode.{x}"),
label_visibility="collapsed"
# ====================================================================
# Step 1: Batch mode toggle (highest priority)
# ====================================================================
batch_mode = st.checkbox(
tr("batch.mode_label"),
value=False,
help=tr("batch.mode_help")
)
# Text input (unified for both modes)
text_placeholder = tr("input.topic_placeholder") if mode == "generate" else tr("input.content_placeholder")
text_height = 120 if mode == "generate" else 200
text_help = tr("input.text_help_generate") if mode == "generate" else tr("input.text_help_fixed")
if not batch_mode:
# ================================================================
# Single task mode (original logic, unchanged)
# ================================================================
# Processing mode selection
mode = st.radio(
"Processing Mode",
["generate", "fixed"],
horizontal=True,
format_func=lambda x: tr(f"mode.{x}"),
label_visibility="collapsed"
)
# Text input (unified for both modes)
text_placeholder = tr("input.topic_placeholder") if mode == "generate" else tr("input.content_placeholder")
text_height = 120 if mode == "generate" else 200
text_help = tr("input.text_help_generate") if mode == "generate" else tr("input.text_help_fixed")
text = st.text_area(
tr("input.text"),
placeholder=text_placeholder,
height=text_height,
help=text_help
)
# Title input (optional for both modes)
title = st.text_input(
tr("input.title"),
placeholder=tr("input.title_placeholder"),
help=tr("input.title_help")
)
# Number of scenes (only show in generate mode)
if mode == "generate":
n_scenes = st.slider(
tr("video.frames"),
min_value=3,
max_value=30,
value=5,
help=tr("video.frames_help"),
label_visibility="collapsed"
)
st.caption(tr("video.frames_label", n=n_scenes))
else:
# Fixed mode: n_scenes is ignored, set default value
n_scenes = 5
st.info(tr("video.frames_fixed_mode_hint"))
return {
"batch_mode": False,
"mode": mode,
"text": text,
"title": title,
"n_scenes": n_scenes
}
text = st.text_area(
tr("input.text"),
placeholder=text_placeholder,
height=text_height,
help=text_help
)
# Title input (optional for both modes)
title = st.text_input(
tr("input.title"),
placeholder=tr("input.title_placeholder"),
help=tr("input.title_help")
)
# Number of scenes (only show in generate mode)
if mode == "generate":
else:
# ================================================================
# Batch mode (simplified YAGNI version)
# ================================================================
st.markdown(f"**{tr('batch.section_title')}**")
# Batch rules info
st.info(f"""
**{tr('batch.rules_title')}**
- ✅ {tr('batch.rule_1')}
- ✅ {tr('batch.rule_2')}
- ✅ {tr('batch.rule_3')}
""")
# Batch topics input
text_input = st.text_area(
tr("batch.topics_label"),
height=300,
placeholder=tr("batch.topics_placeholder"),
help=tr("batch.topics_help")
)
# Split topics by newline
if text_input:
# Simple split by newline, filter empty lines
topics = [
line.strip()
for line in text_input.strip().split('\n')
if line.strip()
]
if topics:
# Check count limit
if len(topics) > 100:
st.error(tr("batch.count_error", count=len(topics)))
topics = []
else:
st.success(tr("batch.count_success", count=len(topics)))
# Preview topics list
with st.expander(tr("batch.preview_title"), expanded=False):
for i, topic in enumerate(topics, 1):
st.markdown(f"`{i}.` {topic}")
else:
topics = []
else:
topics = []
st.markdown("---")
# Title prefix (optional)
title_prefix = st.text_input(
tr("batch.title_prefix_label"),
placeholder=tr("batch.title_prefix_placeholder"),
help=tr("batch.title_prefix_help")
)
# Number of scenes (unified for all videos)
n_scenes = st.slider(
tr("video.frames"),
tr("batch.n_scenes_label"),
min_value=3,
max_value=30,
value=5,
help=tr("video.frames_help"),
label_visibility="collapsed"
help=tr("batch.n_scenes_help")
)
st.caption(tr("video.frames_label", n=n_scenes))
else:
# Fixed mode: n_scenes is ignored, set default value
n_scenes = 5
st.info(tr("video.frames_fixed_mode_hint"))
return {
"mode": mode,
"text": text,
"title": title,
"n_scenes": n_scenes
}
st.caption(tr("batch.n_scenes_caption", n=n_scenes))
# Config info
st.info(f"📌 {tr('batch.config_info')}")
return {
"batch_mode": True,
"topics": topics,
"mode": "generate", # Fixed to AI generate content
"title_prefix": title_prefix,
"n_scenes": n_scenes,
}
def render_bgm_section():