import os import glob import json import math import time import traceback import pandas as pd import streamlit as st from loguru import logger from app.config import config from app.models.schema import VideoClipParams from app.services.subtitle_text import decode_subtitle_bytes, read_subtitle_text from app.utils import utils, check_script from webui.tools.generate_script_docu import generate_script_docu from webui.tools.generate_script_short import generate_script_short from webui.tools.generate_short_summary import analyze_short_drama_plot, generate_script_short_sunmmary SCRIPT_TABLE_BASE_COLUMNS = ["_id", "timestamp", "picture", "narration", "OST"] def render_script_panel(tr): """渲染脚本配置面板""" with st.container(border=True): st.write(tr("Video Script Configuration")) params = VideoClipParams() # 渲染脚本文件选择 render_script_file(tr, params) # 渲染视频文件选择 render_video_file(tr, params) # 获取当前选择的脚本类型 script_path = st.session_state.get('video_clip_json_path', '') # 根据脚本类型显示不同的布局 if script_path == "auto": # 画面解说 render_video_details(tr) elif script_path == "short": # 短剧混剪 render_short_generate_options(tr) elif script_path == "summary": # 短剧解说 short_drama_summary(tr) else: # 默认为空 pass # 渲染脚本操作按钮 render_script_buttons(tr, params) def render_script_file(tr, params): """渲染脚本文件选择""" # 定义功能模式 MODE_FILE = "file_selection" MODE_AUTO = "auto" MODE_SHORT = "short" MODE_SUMMARY = "summary" # 模式选项映射，按工作流优先级展示 mode_options = { tr("Short Drama Summary"): MODE_SUMMARY, tr("Auto Generate"): MODE_AUTO, tr("Short Generate"): MODE_SHORT, tr("Select/Upload Script"): MODE_FILE, } # 获取当前状态 current_path = st.session_state.get('video_clip_json_path', '') # 确定当前选中的模式索引 default_index = 0 mode_keys = list(mode_options.keys()) if current_path == "auto": default_index = mode_keys.index(tr("Auto Generate")) elif current_path == "short": default_index = mode_keys.index(tr("Short Generate")) elif current_path == "summary": default_index = mode_keys.index(tr("Short Drama Summary")) elif current_path: default_index = mode_keys.index(tr("Select/Upload Script")) else: default_index = 0 # 1. 渲染功能选择组件 default_mode_label = mode_keys[default_index] default_mode = mode_options[default_mode_label] if st.session_state.get('_switch_to_file_mode'): st.session_state['script_mode_selection'] = tr("Select/Upload Script") del st.session_state['_switch_to_file_mode'] elif ( 'script_mode_selection' not in st.session_state or st.session_state['script_mode_selection'] not in mode_options ): st.session_state['script_mode_selection'] = default_mode_label elif mode_options[st.session_state['script_mode_selection']] != default_mode: st.session_state['script_mode_selection'] = default_mode_label # 定义回调函数来处理状态更新 def update_script_mode(): # 获取当前选中的标签 selected_label = st.session_state.script_mode_selection if selected_label: # 更新实际的 path 状态 new_mode = mode_options[selected_label] st.session_state.video_clip_json_path = new_mode params.video_clip_json_path = new_mode else: st.session_state.video_clip_json_path = default_mode params.video_clip_json_path = default_mode # 渲染组件 selected_mode_label = st.selectbox( tr("Video Type"), options=mode_keys, index=None, key="script_mode_selection", on_change=update_script_mode, ) # 处理旧状态为空的兜底情况 if not selected_mode_label: selected_mode_label = default_mode_label selected_mode = mode_options[selected_mode_label] # 2. 根据选择的模式处理逻辑 if selected_mode == MODE_FILE: # --- 文件选择模式 --- script_list = [ (tr("None"), ""), (tr("Upload Script"), "upload_script") ] # 获取已有脚本文件 suffix = "*.json" script_dir = utils.script_dir() files = glob.glob(os.path.join(script_dir, suffix)) file_list = [] for file in files: file_list.append({ "name": os.path.basename(file), "file": file, "ctime": os.path.getctime(file) }) file_list.sort(key=lambda x: x["ctime"], reverse=True) for file in file_list: display_name = file['file'].replace(config.root_dir, "") script_list.append((display_name, file['file'])) # 找到保存的脚本文件在列表中的索引 # 如果当前path是特殊值(auto/short/summary)，则重置为空 saved_script_path = current_path if current_path not in [MODE_AUTO, MODE_SHORT, MODE_SUMMARY] else "" selected_index = 0 for i, (_, path) in enumerate(script_list): if path == saved_script_path: selected_index = i break # 如果找到了保存的脚本，同步更新 selectbox 的 key 状态 if saved_script_path and selected_index > 0: st.session_state['script_file_selection'] = selected_index selected_script_index = st.selectbox( tr("Script Files"), index=selected_index, options=range(len(script_list)), format_func=lambda x: script_list[x][0], key="script_file_selection" ) script_path = script_list[selected_script_index][1] # 只有当用户实际选择了脚本时才更新路径，避免覆盖已保存的路径 if script_path: st.session_state['video_clip_json_path'] = script_path params.video_clip_json_path = script_path elif saved_script_path: # 如果用户选择了 "None" 但之前有保存的脚本，保持原有路径 st.session_state['video_clip_json_path'] = saved_script_path params.video_clip_json_path = saved_script_path # 处理脚本上传 if script_path == "upload_script": uploaded_file = st.file_uploader( tr("Upload Script File"), type=["json"], accept_multiple_files=False, ) if uploaded_file is not None: try: # 读取上传的JSON内容并验证格式 script_content = uploaded_file.read().decode('utf-8') json_data = json.loads(script_content) # 保存到脚本目录 safe_filename = os.path.basename(uploaded_file.name) script_file_path = os.path.join(script_dir, safe_filename) file_name, file_extension = os.path.splitext(safe_filename) # 如果文件已存在,添加时间戳 if os.path.exists(script_file_path): timestamp = time.strftime("%Y%m%d%H%M%S") file_name_with_timestamp = f"{file_name}_{timestamp}" script_file_path = os.path.join(script_dir, file_name_with_timestamp + file_extension) # 写入文件 with open(script_file_path, "w", encoding='utf-8') as f: json.dump(json_data, f, ensure_ascii=False, indent=2) # 更新状态 st.success(tr("Script Uploaded Successfully")) st.session_state['video_clip_json_path'] = script_file_path params.video_clip_json_path = script_file_path time.sleep(1) st.rerun() except json.JSONDecodeError: st.error(tr("Invalid JSON format")) except Exception as e: st.error(f"{tr('Upload failed')}: {str(e)}") else: # --- 功能生成模式 --- st.session_state['video_clip_json_path'] = selected_mode params.video_clip_json_path = selected_mode def render_video_file(tr, params): """渲染视频文件选择""" source_options = { tr("Upload Local Files"): "upload", tr("Select from resource directory"): "resource", } source_labels = list(source_options.keys()) default_source_label = source_labels[0] source_default_version = "upload_first_v1" if st.session_state.get('_video_source_default_version') != source_default_version: if ( st.session_state.get('video_source_selection') not in source_options or not st.session_state.get('video_origin_path') ): st.session_state['video_source_selection'] = default_source_label st.session_state['_video_source_default_version'] = source_default_version elif st.session_state.get('video_source_selection') not in source_options: st.session_state['video_source_selection'] = default_source_label current_source = st.session_state['video_source_selection'] source_caption = ( tr("Select a video from resource videos directory") if source_options[current_source] == "resource" else tr("Upload a new video file up to 2GB") ) st.markdown(f"**{tr('Video Source')}** :gray[{source_caption}]") source = st.pills( tr("Video Source"), options=source_labels, selection_mode="single", key="video_source_selection", label_visibility="collapsed", width="stretch", ) if not source: source = default_source_label if source_options[source] == "resource": video_files = [] for suffix in ["*.mp4", "*.mov", "*.avi", "*.flv", "*.mkv", "*.mpeg4"]: video_files.extend(glob.glob(os.path.join(utils.video_dir(), suffix))) video_files = sorted(video_files, key=os.path.getctime, reverse=True) saved_video_path = st.session_state.get('video_origin_path', '') selected_video_path = st.session_state.get('resource_video_selection') if selected_video_path not in video_files: st.session_state['resource_video_selection'] = ( saved_video_path if saved_video_path in video_files else None ) def format_video_name(path): return path.replace(config.root_dir, "") video_path = st.selectbox( tr("Select Video"), options=video_files, index=None, placeholder=tr("Choose a video file"), format_func=format_video_name, key="resource_video_selection", ) if video_path: st.session_state['video_origin_path'] = video_path params.video_origin_path = video_path else: st.session_state['video_origin_path'] = "" params.video_origin_path = "" if not video_files: st.info(tr("No video files found in resource videos directory")) return if source_options[source] == "upload": uploaded_file = st.file_uploader( tr("Upload Video"), type=["mp4", "mov", "avi", "flv", "mkv", "mpeg4"], accept_multiple_files=False, key="video_file_uploader", ) if uploaded_file is None: st.session_state['video_origin_path'] = "" params.video_origin_path = "" st.session_state['video_file_processed'] = False st.session_state['uploaded_video_path'] = "" st.session_state['uploaded_video_signature'] = "" else: uploaded_signature = f"{uploaded_file.name}:{uploaded_file.size}" uploaded_video_path = st.session_state.get('uploaded_video_path', '') is_processed = ( st.session_state.get('video_file_processed', False) and st.session_state.get('uploaded_video_signature') == uploaded_signature and uploaded_video_path ) if is_processed: st.session_state['video_origin_path'] = uploaded_video_path params.video_origin_path = uploaded_video_path else: safe_filename = os.path.basename(uploaded_file.name) video_file_path = os.path.join(utils.video_dir(), safe_filename) file_name, file_extension = os.path.splitext(safe_filename) if os.path.exists(video_file_path): timestamp = time.strftime("%Y%m%d%H%M%S") file_name_with_timestamp = f"{file_name}_{timestamp}" video_file_path = os.path.join(utils.video_dir(), file_name_with_timestamp + file_extension) with open(video_file_path, "wb") as f: f.write(uploaded_file.read()) st.session_state['video_origin_path'] = video_file_path params.video_origin_path = video_file_path st.session_state['uploaded_video_path'] = video_file_path st.session_state['uploaded_video_signature'] = uploaded_signature st.session_state['video_file_processed'] = True def render_short_generate_options(tr): """ 渲染Short Generate模式下的特殊选项 在Short Generate模式下，替换原有的输入框为自定义片段选项 """ short_drama_summary(tr) # 显示自定义片段数量选择器 custom_clips = st.number_input( tr("自定义片段"), min_value=1, max_value=20, value=st.session_state.get('custom_clips', 5), help=tr("设置需要生成的短视频片段数量"), key="custom_clips_input" ) st.session_state['custom_clips'] = custom_clips def render_video_details(tr): """画面解说 渲染视频主题和提示词""" video_theme = st.text_input(tr("Video Theme")) custom_prompt = st.text_area( tr("Generation Prompt"), value=st.session_state.get('video_plot', ''), help=tr("Custom prompt for LLM, leave empty to use default prompt"), height=180 ) # 非短视频模式下显示原有的三个输入框 input_cols = st.columns(2) with input_cols[0]: st.number_input( tr("Frame Interval (seconds)"), min_value=0, value=st.session_state.get('frame_interval_input', config.frames.get('frame_interval_input', 3)), help=tr("Frame Interval (seconds) (More keyframes consume more tokens)"), key="frame_interval_input" ) with input_cols[1]: st.number_input( tr("Batch Size"), min_value=0, value=st.session_state.get('vision_batch_size', config.frames.get('vision_batch_size', 10)), help=tr("Batch Size (More keyframes consume more tokens)"), key="vision_batch_size" ) st.session_state['video_theme'] = video_theme st.session_state['custom_prompt'] = custom_prompt return video_theme, custom_prompt def short_drama_summary(tr): """短剧解说 渲染视频主题和提示词""" # 检查是否已经处理过字幕文件 if 'subtitle_file_processed' not in st.session_state: st.session_state['subtitle_file_processed'] = False render_fun_asr_transcription(tr) render_subtitle_preview(tr) current_subtitle_path = st.session_state.get('subtitle_path', '') plot_analysis_source = st.session_state.get('short_drama_plot_analysis_subtitle_path') if plot_analysis_source and plot_analysis_source != current_subtitle_path: st.session_state['short_drama_plot_analysis'] = "" st.session_state['short_drama_plot_analysis_subtitle_path'] = "" name_cols = st.columns([4, 1.2], vertical_alignment="bottom") with name_cols[0]: video_theme = st.text_input(tr("短剧名称")) with name_cols[1]: analyze_plot_clicked = st.button( tr("剧情理解"), key="short_drama_plot_analysis_button", disabled=not current_subtitle_path, use_container_width=True, ) st.session_state['video_theme'] = video_theme if analyze_plot_clicked: with st.spinner(tr("Analyzing plot...")): plot_analysis = analyze_short_drama_plot( current_subtitle_path, st.session_state.get('temperature', 0.7), tr, subtitle_content=st.session_state.get('subtitle_content', ''), ) if plot_analysis: st.session_state['short_drama_plot_analysis'] = plot_analysis st.session_state['short_drama_plot_analysis_subtitle_path'] = current_subtitle_path st.success(tr("Plot analysis completed")) if st.session_state.get('short_drama_plot_analysis'): st.text_area( tr("剧情理解结果"), key="short_drama_plot_analysis", height=240, ) return video_theme def render_subtitle_preview(tr): """渲染可折叠的当前字幕预览；没有字幕时提示用户先转写或上传。""" subtitle_path = st.session_state.get('subtitle_path', '') subtitle_content = st.session_state.get('subtitle_content', '') if subtitle_path and not subtitle_content and os.path.exists(subtitle_path): subtitle_content = read_subtitle_text(subtitle_path).text st.session_state['subtitle_content'] = subtitle_content with st.expander(tr("Subtitle Preview"), expanded=False): if not subtitle_path or not subtitle_content: st.info(tr("Please transcribe or upload subtitles first")) return st.text_area( tr("Subtitle Preview"), key="subtitle_content", height=180, label_visibility="collapsed", ) def render_subtitle_upload(tr): """上传并保存用户提供的 SRT 字幕文件。""" subtitle_dir_label = utils.subtitle_dir().replace(config.root_dir, ".") st.markdown( f"**{tr('上传字幕文件')}** " f":gray[{tr('Transcribed subtitles storage hint').format(path=subtitle_dir_label)}]" ) subtitle_file = st.file_uploader( tr("上传字幕文件"), type=["srt"], accept_multiple_files=False, key="subtitle_file_uploader", # 添加唯一key label_visibility="collapsed", ) # 显示当前已上传的字幕文件路径 if 'subtitle_path' in st.session_state and st.session_state['subtitle_path']: st.info(tr("Uploaded subtitle").format(file=os.path.basename(st.session_state['subtitle_path']))) if st.button(tr("清除已上传字幕")): st.session_state['subtitle_path'] = None st.session_state['subtitle_content'] = None st.session_state['subtitle_file_processed'] = False st.rerun() # 只有当有文件上传且尚未处理时才执行处理逻辑 if subtitle_file is not None and not st.session_state['subtitle_file_processed']: try: # 清理文件名，防止路径污染和路径遍历攻击 safe_filename = os.path.basename(subtitle_file.name) decoded = decode_subtitle_bytes(subtitle_file.getvalue()) script_content = decoded.text detected_encoding = decoded.encoding if not script_content: st.error(tr("无法读取字幕文件，请检查文件编码（支持 UTF-8、UTF-16、GBK、GB2312）")) st.stop() # 验证字幕内容（简单检查） if len(script_content.strip()) < 10: st.warning(tr("字幕文件内容似乎为空，请检查文件")) # 保存到字幕目录 script_file_path = os.path.join(utils.subtitle_dir(), safe_filename) file_name, file_extension = os.path.splitext(safe_filename) # 如果文件已存在,添加时间戳 if os.path.exists(script_file_path): timestamp = time.strftime("%Y%m%d%H%M%S") file_name_with_timestamp = f"{file_name}_{timestamp}" script_file_path = os.path.join(utils.subtitle_dir(), file_name_with_timestamp + file_extension) # 直接写入SRT内容（统一使用 UTF-8） with open(script_file_path, "w", encoding='utf-8') as f: f.write(script_content) # 更新状态 st.success( f"{tr('字幕上传成功')} " f"({tr('Encoding')}: {detected_encoding.upper()}, " f"{tr('Size')}: {len(script_content)} {tr('Characters')})" ) st.session_state['subtitle_path'] = script_file_path st.session_state['subtitle_content'] = script_content st.session_state['subtitle_file_processed'] = True # 标记已处理 # 避免使用rerun，使用更新状态的方式 # st.rerun() except Exception as e: st.error(f"{tr('Upload failed')}: {str(e)}") def _is_blank_table_value(value): if value is None: return True if isinstance(value, float) and math.isnan(value): return True if isinstance(value, str) and not value.strip(): return True return False def _ordered_script_columns(script_rows): columns = [] for column in SCRIPT_TABLE_BASE_COLUMNS: columns.append(column) for row in script_rows: if not isinstance(row, dict): continue for column in row.keys(): if column not in columns: columns.append(column) return columns def _script_json_to_table(script_data): if not isinstance(script_data, list): script_data = [] if not script_data: return pd.DataFrame(columns=SCRIPT_TABLE_BASE_COLUMNS) if not all(isinstance(item, dict) for item in script_data): rows = [ {"value": json.dumps(item, ensure_ascii=False)} for item in script_data ] return pd.DataFrame(rows, columns=["value"]) columns = _ordered_script_columns(script_data) return pd.DataFrame(script_data, columns=columns) def _normalize_script_table_value(column, value): if _is_blank_table_value(value): return "" if column in {"_id", "OST"}: try: return int(value) except (TypeError, ValueError): return value return value def _script_table_to_json(edited_data): if isinstance(edited_data, pd.DataFrame): records = edited_data.to_dict("records") elif isinstance(edited_data, list): records = edited_data else: records = pd.DataFrame(edited_data).to_dict("records") script_data = [] for row in records: if not isinstance(row, dict): continue if all(_is_blank_table_value(value) for value in row.values()): continue cleaned_row = {} for column, value in row.items(): if not column: continue normalized_value = _normalize_script_table_value(column, value) if _is_blank_table_value(normalized_value) and column not in SCRIPT_TABLE_BASE_COLUMNS: continue cleaned_row[column] = normalized_value if cleaned_row: script_data.append(cleaned_row) return json.dumps(script_data, indent=2, ensure_ascii=False) def render_video_script_editor(tr): """使用弹窗和表格编辑视频脚本 JSON。""" @st.dialog(tr("Video Script"), width="large") def video_script_dialog(): script_data = st.session_state.get('video_clip_json', []) table_data = _script_json_to_table(script_data) column_order = list(table_data.columns) st.caption(tr("Video script table help")) edited_table = st.data_editor( table_data, key="video_script_table_editor", hide_index=True, num_rows="dynamic", use_container_width=True, height=520, row_height=72, column_order=column_order, column_config={ "_id": st.column_config.NumberColumn(tr("Script Column ID"), step=1, format="%d", width=52), "timestamp": st.column_config.TextColumn(tr("Script Column Timestamp"), width=200), "picture": st.column_config.TextColumn(tr("Script Column Picture"), width=320), "narration": st.column_config.TextColumn(tr("Script Column Narration"), width=480), "OST": st.column_config.NumberColumn( tr("Script Column OST"), min_value=0, max_value=2, step=1, format="%d", width=52, ), }, ) video_clip_json_details = _script_table_to_json(edited_table) with st.expander(tr("Raw JSON Preview"), expanded=False): st.code(video_clip_json_details, language="json") if st.button(tr("Save Script"), key="save_script_from_dialog", use_container_width=True): save_script_with_validation(tr, video_clip_json_details) script_data = st.session_state.get('video_clip_json', []) script_count = len(script_data) if isinstance(script_data, list) else 0 st.markdown(f"**{tr('Video Script')}** :gray[{tr('Video script row count').format(count=script_count)}]") if st.button(tr("Edit Video Script"), key="open_video_script_editor", use_container_width=True): video_script_dialog() def render_fun_asr_transcription(tr): """使用 Fun-ASR 从本地音视频转写生成字幕。""" def clear_fun_asr_subtitle_state(): st.session_state['subtitle_path'] = None st.session_state['subtitle_content'] = None st.session_state['subtitle_file_processed'] = False from app.services import fun_asr_subtitle backend_options = { tr("Local FunASR-Pack API"): "local", tr("Ali Bailian Online Fun-ASR"): "bailian", tr("上传字幕文件"): "upload", } saved_backend = str(config.fun_asr.get("backend", "")).strip().lower() if saved_backend not in {"local", "bailian", "upload"}: saved_backend = ( "bailian" if config.fun_asr.get("api_key") and not config.fun_asr.get("api_url") else "local" ) backend_values = list(backend_options.values()) backend_labels = list(backend_options.keys()) backend = saved_backend api_key = "" api_url = config.fun_asr.get("api_url", fun_asr_subtitle.LOCAL_FUN_ASR_API_URL) hotword = config.fun_asr.get("hotword", "") enable_spk = bool(config.fun_asr.get("enable_spk", False)) media_path = st.session_state.get('video_origin_path', '') subtitle_cols = st.columns([3, 2], vertical_alignment="top") with subtitle_cols[0]: with st.expander(tr("Ali Bailian Fun-ASR Subtitle Transcription"), expanded=False): backend_label = st.radio( tr("Subtitle Processing Method"), options=backend_labels, index=backend_values.index(saved_backend), horizontal=True, key="fun_asr_backend", ) backend = backend_options[backend_label] if backend == "upload": render_subtitle_upload(tr) elif backend == "local": st.caption(tr("Local Fun-ASR upload caption")) api_url = st.text_input( tr("Local FunASR-Pack API URL"), value=api_url, help=tr("Local FunASR-Pack API URL Help"), key="fun_asr_api_url", ) hotword = st.text_input( tr("Fun-ASR Hotword"), value=hotword, help=tr("Fun-ASR Hotword Help"), key="fun_asr_hotword", ) enable_spk = st.checkbox( tr("Enable speaker diarization"), value=enable_spk, help=tr("Enable speaker diarization Help"), key="fun_asr_enable_spk", ) else: st.caption(tr("Fun-ASR upload caption")) st.markdown( f"{tr('API Key URL')}: " "[https://bailian.console.aliyun.com/?tab=model#/api-key]" "(https://bailian.console.aliyun.com/?tab=model#/api-key)" ) api_key = st.text_input( tr("Ali Bailian API Key"), value=config.fun_asr.get("api_key", ""), type="password", help=tr("Ali Bailian API Key Help"), key="fun_asr_api_key", ) if backend != "upload": if media_path: st.info( tr("Using selected video for subtitle transcription").format( file=os.path.basename(media_path) ) ) else: st.warning(tr("Please select or upload a video first")) can_transcribe = backend != "upload" and bool(media_path) with subtitle_cols[1]: transcribe_clicked = st.button( tr("Transcribe subtitles"), key="fun_asr_transcribe", disabled=not can_transcribe, use_container_width=True, ) if not transcribe_clicked: return if backend == "bailian" and not api_key.strip(): clear_fun_asr_subtitle_state() st.error(tr("Please enter Ali Bailian API Key")) return if backend == "local" and not str(api_url).strip(): clear_fun_asr_subtitle_state() st.error(tr("Please enter local FunASR-Pack API URL")) return if not media_path or not os.path.exists(media_path): clear_fun_asr_subtitle_state() st.error(tr("Selected video file does not exist")) return try: clear_fun_asr_subtitle_state() config.fun_asr["backend"] = backend config.fun_asr["api_url"] = str(api_url).strip() config.fun_asr["api_key"] = api_key.strip() config.fun_asr["hotword"] = str(hotword).strip() config.fun_asr["enable_spk"] = bool(enable_spk) config.fun_asr["model"] = "fun-asr" config.save_config() subtitle_name = f"{os.path.splitext(os.path.basename(media_path))[0]}_fun_asr.srt" subtitle_path = os.path.join(utils.subtitle_dir(), subtitle_name) spinner_text = ( tr("Transcribing with local FunASR-Pack...") if backend == "local" else tr("Transcribing with Fun-ASR...") ) with st.spinner(spinner_text): if backend == "local": generated_path = fun_asr_subtitle.create_with_local_fun_asr( local_file=media_path, subtitle_file=subtitle_path, api_url=str(api_url).strip(), hotword=str(hotword).strip(), enable_spk=bool(enable_spk), ) else: generated_path = fun_asr_subtitle.create_with_fun_asr( local_file=media_path, subtitle_file=subtitle_path, api_key=api_key.strip(), ) if not generated_path or not os.path.exists(generated_path): clear_fun_asr_subtitle_state() st.error(tr("Fun-ASR failed without subtitle file")) return with open(generated_path, "r", encoding="utf-8") as f: subtitle_content = f.read() st.session_state['subtitle_path'] = generated_path st.session_state['subtitle_content'] = subtitle_content st.session_state['subtitle_file_processed'] = True success_placeholder = st.empty() success_placeholder.success( tr("Subtitle transcription succeeded").format(file=os.path.basename(generated_path)) ) time.sleep(3) success_placeholder.empty() except Exception as e: clear_fun_asr_subtitle_state() logger.error(f"Fun-ASR 字幕转写失败: {traceback.format_exc()}") st.error(f"{tr('Fun-ASR transcription failed')}: {str(e)}") def render_script_buttons(tr, params): """渲染脚本操作按钮""" # 获取当前选择的脚本类型 script_path = st.session_state.get('video_clip_json_path', '') # 生成/加载按钮 if script_path == "auto": button_name = tr("Generate Video Script") elif script_path == "short": button_name = tr("Generate Short Video Script") elif script_path == "summary": button_name = tr("生成短剧解说脚本") elif script_path.endswith("json"): button_name = tr("Load Video Script") else: button_name = tr("Please Select Script File") if st.button(button_name, key="script_action", disabled=not script_path): if script_path == "auto": # 执行纪录片视频脚本生成（视频无字幕无配音） generate_script_docu(params, tr) elif script_path == "short": # 执行 短剧混剪 脚本生成 custom_clips = st.session_state.get('custom_clips') generate_script_short(tr, params, custom_clips) elif script_path == "summary": # 执行 短剧解说 脚本生成 subtitle_path = st.session_state.get('subtitle_path') video_theme = st.session_state.get('video_theme') temperature = st.session_state.get('temperature') plot_analysis = "" if st.session_state.get('short_drama_plot_analysis_subtitle_path') == subtitle_path: plot_analysis = st.session_state.get('short_drama_plot_analysis', '') generate_script_short_sunmmary( params, subtitle_path, video_theme, temperature, tr, plot_analysis=plot_analysis, subtitle_content=st.session_state.get('subtitle_content', ''), ) else: load_script(tr, script_path) render_video_script_editor(tr) def load_script(tr, script_path): """加载脚本文件""" try: with open(script_path, 'r', encoding='utf-8') as f: script = f.read() script = utils.clean_model_output(script) st.session_state['video_clip_json'] = json.loads(script) st.success(tr("Script loaded successfully")) st.rerun() except Exception as e: logger.error(f"加载脚本文件时发生错误\n{traceback.format_exc()}") st.error(f"{tr('Failed to load script')}: {str(e)}") def save_script_with_validation(tr, video_clip_json_details): """保存视频脚本（包含格式验证）""" if not video_clip_json_details: st.error(tr("请输入视频脚本")) st.stop() # 第一步：格式验证 with st.spinner(tr("Validating script format...")): try: result = check_script.check_format(video_clip_json_details) if not result.get('success'): # 格式验证失败，显示详细错误信息 error_message = result.get('message', '未知错误') error_details = result.get('details', '') st.error(f"**{tr('Script format validation failed')}**") st.error(f"**{tr('Error Message')}:** {error_message}") if error_details: st.error(f"**{tr('Details')}:** {error_details}") # 显示正确格式示例 st.info(f"**{tr('Correct script format example')}:**") example_script = [ { "_id": 1, "timestamp": "00:00:00,600-00:00:07,559", "picture": "工地上，蔡晓艳奋力救人，场面混乱", "narration": "灾后重建，工地上险象环生！泼辣女工蔡晓艳挺身而出，救人第一！", "OST": 0 }, { "_id": 2, "timestamp": "00:00:08,240-00:00:12,359", "picture": "领导视察，蔡晓艳不屑一顾", "narration": "播放原片4", "OST": 1 } ] st.code(json.dumps(example_script, ensure_ascii=False, indent=2), language='json') st.stop() except Exception as e: st.error(f"{tr('Script format validation error')}: {str(e)}") st.stop() # 第二步：保存脚本 with st.spinner(tr("Save Script")): script_dir = utils.script_dir() timestamp = time.strftime("%Y-%m%d-%H%M%S") save_path = os.path.join(script_dir, f"{timestamp}.json") try: data = json.loads(video_clip_json_details) with open(save_path, 'w', encoding='utf-8') as file: json.dump(data, file, ensure_ascii=False, indent=4) st.session_state['video_clip_json'] = data st.session_state['video_clip_json_path'] = save_path # 标记需要切换到文件选择模式（在下次渲染前处理） st.session_state['_switch_to_file_mode'] = True # 更新配置 config.app["video_clip_json_path"] = save_path # 显示成功消息 st.success(tr("Script validated and saved successfully")) # 强制重新加载页面更新选择框 time.sleep(0.5) # 给一点时间让用户看到成功消息 st.rerun() except Exception as err: st.error(f"{tr('Failed to save script')}: {str(err)}") st.stop() # crop_video函数已移除 - 现在使用统一裁剪策略，不再需要预裁剪步骤 def get_script_params(): """获取脚本参数""" return { 'video_language': st.session_state.get('video_language', ''), 'video_clip_json_path': st.session_state.get('video_clip_json_path', ''), 'video_origin_path': st.session_state.get('video_origin_path', ''), 'video_name': st.session_state.get('video_name', ''), 'video_plot': st.session_state.get('video_plot', '') }