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import gradio as gr
import utils
import transcribe
with gr.Blocks(theme="base") as demo:
gr.Markdown("<center><h1> 🔊 Transcription Delight </h1></center>")
gr.Markdown("### Step 1: Generate Raw Transcript")
with gr.Row():
with gr.Column():
source = gr.Radio(label="Source type", choices=[("Audio", "audio"), ("Video", "video"), ("YouTube URL", "youtube")], value="audio")
@gr.render(inputs=source)
def show_source(s):
if s == "audio":
source_component = gr.Audio(type="filepath")
elif s == "video":
source_component = gr.Video()
else:
source_component = gr.Textbox(placeholder="https://www.youtube.com/watch?v=44vi31hehw4")
preview = gr.HTML(label="Video preview")
source_component.change(utils.convert_to_embed_url, source_component, preview)
# transcribe_btn.click(
# lambda : gr.Tabs(selected="result"),
# None,
# tabs
# ).then(
# utils.generate_audio,
# [source, source_component],
# [download_audio],
# show_progress="minimal"
# ).then(
# transcribe.transcribe,
# [download_audio],
# [preliminary_transcript],
# show_progress="hidden"
# )
with gr.Column():
transcribe_btn = gr.Button("Transcribe audio 📜", variant="primary")
preliminary_transcript = gr.Textbox(info="Raw transcript", lines=10, show_copy_button=True, show_label=False, interactive=False)
source.change(utils.transcribe_button, source, transcribe_btn)
gr.Markdown("### Step 2: Clean with an LLM")
with gr.Row():
with gr.Column():
cleanup_options = gr.CheckboxGroup(label="Cleanup Transcript with LLM", choices=["Remove typos", "Separate into paragraphs"])
llm_prompt = gr.Textbox(label="LLM Prompt", visible=False, lines=3)
cleanup_options.change(
utils.generate_prompt,
cleanup_options,
llm_prompt
)
with gr.Column():
clean_btn = gr.Button("Clean transcript ✨", variant="primary", interactive=False)
gr.Markdown("*Final transcript will appear here*")
# with gr.Tab("Result", id="result"):
# with gr.Row():
# with gr.Column():
# download_audio = gr.DownloadButton("Downloading Audio File (please wait...)", variant="primary", interactive=False, size="sm")
# preliminary_transcript = gr.Textbox(info="Raw transcript", lines=10, show_copy_button=True, show_label=False, interactive=False)
# with gr.Column():
demo.launch() |