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import streamlit as st
import os, sys, time
from core.st_utils.imports_and_utils import *
from core.st_utils.task_runner import TaskRunner
from core import *
# SET PATH
current_dir = os.path.dirname(os.path.abspath(__file__))
os.environ["PATH"] += os.pathsep + current_dir
sys.path.append(os.path.dirname(os.path.abspath(__file__)))
st.set_page_config(page_title="VideoLingo", page_icon="docs/logo.svg")
SUB_VIDEO = "output/output_sub.mp4"
DUB_VIDEO = "output/output_dub.mp4"
# ─── Task control UI (auto-refreshes every 1s while task is active) ───
@st.fragment(run_every=1)
def _task_control_panel(runner_key: str):
"""Renders progress bar + pause/stop buttons. Auto-refreshes every 1s."""
runner = TaskRunner.get(st.session_state, runner_key)
if runner.state == "idle":
return
# Progress
step_text = (
f"({runner.current_step + 1}/{runner.total_steps}) {runner.current_label}"
if runner.current_step >= 0
else ""
)
if runner.is_active:
if runner.state == "paused":
st.warning(f"⏸️ {t('Paused')} {step_text}")
else:
st.info(f"⏳ {t('Running...')} {step_text}")
st.progress(runner.progress)
# Control buttons
col1, col2 = st.columns(2)
with col1:
if runner.state == "paused":
if st.button(
f"▶️ {t('Resume')}",
key=f"{runner_key}_resume",
use_container_width=True,
):
runner.resume()
st.rerun()
else:
if st.button(
f"⏸️ {t('Pause')}",
key=f"{runner_key}_pause",
use_container_width=True,
):
runner.pause()
st.rerun()
with col2:
if st.button(
f"⏹️ {t('Stop')}",
key=f"{runner_key}_stop",
use_container_width=True,
type="primary",
):
runner.stop()
st.rerun()
elif runner.state == "completed":
st.success(t("Task completed!"))
st.progress(1.0)
runner.reset()
time.sleep(0.5)
st.rerun(scope="app")
elif runner.state == "stopped":
st.warning(f"⏹️ {t('Task stopped')} {step_text}")
if st.button(t("OK"), key=f"{runner_key}_ack_stop", use_container_width=True):
runner.reset()
st.rerun(scope="app")
elif runner.state == "error":
st.error(f"❌ {t('Task error')}: {runner.error_msg}")
if st.button(t("OK"), key=f"{runner_key}_ack_error", use_container_width=True):
runner.reset()
st.rerun(scope="app")
# ─── Text processing ───
def _get_text_steps():
"""Return the subtitle processing steps as (label, callable) list."""
steps = [
(t("WhisperX word-level transcription"), _2_asr.transcribe),
(
t("Sentence segmentation using NLP and LLM"),
lambda: (
_3_1_split_nlp.split_by_spacy(),
_3_2_split_meaning.split_sentences_by_meaning(),
),
),
(
t("Summarization and multi-step translation"),
lambda: (_4_1_summarize.get_summary(), _4_2_translate.translate_all()),
),
(
t("Cutting and aligning long subtitles"),
lambda: (
_5_split_sub.split_for_sub_main(),
_6_gen_sub.align_timestamp_main(),
),
),
(
t("Merging subtitles into the video"),
_7_sub_into_vid.merge_subtitles_to_video,
),
]
return steps
def text_processing_section():
st.header(t("b. Translate and Generate Subtitles"))
runner = TaskRunner.get(st.session_state, "_text_runner")
with st.container(border=True):
st.markdown(
f"""
<p style='font-size: 20px;'>
{t("This stage includes the following steps:")}
<p style='font-size: 20px;'>
1. {t("WhisperX word-level transcription")}<br>
2. {t("Sentence segmentation using NLP and LLM")}<br>
3. {t("Summarization and multi-step translation")}<br>
4. {t("Cutting and aligning long subtitles")}<br>
5. {t("Generating timeline and subtitles")}<br>
6. {t("Merging subtitles into the video")}
""",
unsafe_allow_html=True,
)
if not os.path.exists(SUB_VIDEO):
if runner.is_active:
_task_control_panel("_text_runner")
elif runner.is_done:
_task_control_panel("_text_runner")
else:
if st.button(
t("Start Processing Subtitles"), key="text_processing_button"
):
steps = _get_text_steps()
runner.start(steps)
st.rerun()
else:
if load_key("burn_subtitles"):
st.video(SUB_VIDEO)
download_subtitle_zip_button(text=t("Download All Srt Files"))
if st.button(t("Archive to 'history'"), key="cleanup_in_text_processing"):
cleanup()
st.rerun()
return True
# ─── Audio processing ───
def _get_audio_steps():
"""Return the audio/dubbing processing steps as (label, callable) list."""
steps = [
(
t("Generate audio tasks and chunks"),
lambda: (
_8_1_audio_task.gen_audio_task_main(),
_8_2_dub_chunks.gen_dub_chunks(),
),
),
(t("Extract reference audio"), _9_refer_audio.extract_refer_audio_main),
(t("Generate and merge audio files"), _10_gen_audio.gen_audio),
(t("Merge full audio"), _11_merge_audio.merge_full_audio),
(t("Merge final audio into video"), _12_dub_to_vid.merge_video_audio),
]
return steps
def audio_processing_section():
st.header(t("c. Dubbing"))
runner = TaskRunner.get(st.session_state, "_audio_runner")
with st.container(border=True):
st.markdown(
f"""
<p style='font-size: 20px;'>
{t("This stage includes the following steps:")}
<p style='font-size: 20px;'>
1. {t("Generate audio tasks and chunks")}<br>
2. {t("Extract reference audio")}<br>
3. {t("Generate and merge audio files")}<br>
4. {t("Merge final audio into video")}
""",
unsafe_allow_html=True,
)
if not os.path.exists(DUB_VIDEO):
if runner.is_active:
_task_control_panel("_audio_runner")
elif runner.is_done:
_task_control_panel("_audio_runner")
else:
if st.button(
t("Start Audio Processing"), key="audio_processing_button"
):
steps = _get_audio_steps()
runner.start(steps)
st.rerun()
else:
st.success(
t(
"Audio processing is complete! You can check the audio files in the `output` folder."
)
)
if load_key("burn_subtitles"):
st.video(DUB_VIDEO)
if st.button(t("Delete dubbing files"), key="delete_dubbing_files"):
delete_dubbing_files()
st.rerun()
if st.button(t("Archive to 'history'"), key="cleanup_in_audio_processing"):
cleanup()
st.rerun()
# ─── Main ───
def main():
logo_col, _ = st.columns([1, 1])
with logo_col:
st.image("docs/logo.png", width="stretch")
st.markdown(button_style, unsafe_allow_html=True)
welcome_text = t(
'Hello, welcome to VideoLingo. If you encounter any issues, feel free to get instant answers with our Free QA Agent <a href="https://share.fastgpt.in/chat/share?shareId=066w11n3r9aq6879r4z0v9rh" target="_blank">here</a>! You can also try out our SaaS website at <a href="https://videolingo.io" target="_blank">videolingo.io</a> for free!'
)
st.markdown(
f"<p style='font-size: 20px; color: #808080;'>{welcome_text}</p>",
unsafe_allow_html=True,
)
# add settings
with st.sidebar:
page_setting()
st.markdown(give_star_button, unsafe_allow_html=True)
download_video_section()
text_processing_section()
audio_processing_section()
if __name__ == "__main__":
main()