app.py

import gradio as gr
import os
import requests

from helpers import (
    make_header,
    upload_file,
    request_transcript,
    wait_for_completion,
    make_paragraphs_string,
)


title = """<h1 align="center">🔥AssemblyAI: Conformer-1 Demo🔥</h1>"""

subtitle = (
    """<p align="center">Automatic Speech Recognition using the AssemblyAI API</p>"""
)
link = """<p align="center"><a href="https://www.assemblyai.com/blog/conformer-1/">Click here to learn more about the Conformer-1 model</a></p>"""


def submit_to_AAI(api_key, radio, audio_file, mic_recording):

    if radio == "Audio File":
        audio_data = audio_file
    elif radio == "Record Audio":
        audio_data = mic_recording

    if not api_key:
        return "Error! Did you use a valid API key?"

    header = make_header(api_key)

    # 1. Upload the audio
    try:
        upload_url = upload_file(audio_data, header, is_file=False)
    except requests.exceptions.HTTPError:
        return "Error! Did you use a valid API key?"
    except requests.exceptions.ConnectionError:
        return "Error! Did you use a valid API key?"

    # if upload_url is None:
    #    return "Error: Did you set a valid API key?"

    # 2. Request transcript
    transcript_response = request_transcript(upload_url, header)

    transcript_id = transcript_response["id"]

    # 3. Wait for the transcription to complete
    _, error = wait_for_completion(transcript_id, header)

    if error is not None:
        return error

    # 4. Fetch paragraphs of transcript
    return make_paragraphs_string(transcript_id, header)


def change_audio_source(radio):
    if radio == "Audio File":
        return [gr.Audio.update(visible=True), gr.Audio.update(visible=False)]
    elif radio == "Record Audio":
        return [gr.Audio.update(visible=False), gr.Audio.update(visible=True)]


with gr.Blocks(
    css="""#col_container {width: 1000px; margin-left: auto; margin-right: auto;}
                #chatbot {height: 520px; overflow: auto;}"""
) as demo:
    gr.HTML(
        '<center><a href="https://www.assemblyai.com/"><img src="file/images/logo.png" width="180px"></a></center>'
    )
    gr.HTML(title)
    gr.HTML(subtitle)
    gr.HTML(link)
    gr.HTML(
        """<center><a href="https://huggingface.co/spaces/assemblyai/Conformer1-Demo?duplicate=true"><img src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a>Duplicate the Space and run securely with your AssemblyAI API Key. <a href="https://www.assemblyai.com/dashboard/signup">Get a free key here.</a></center>"""
    )

    with gr.Column(elem_id="col_container"):
        api_key = gr.Textbox(
            type="password", label="Enter your AssemblyAI API key here"
        )

        with gr.Box():
            # Selector for audio source
            radio = gr.Radio(
                ["Audio File", "Record Audio"], label="Audio Source", value="Audio File"
            )
            # Audio object for both file and microphone data
            audio_file = gr.Audio()
            mic_recording = gr.Audio(source="microphone", visible=False)

            gr.Examples(
                [
                    os.path.join(os.path.dirname(__file__), "audio/audio_sample1.flac"),
                    os.path.join(os.path.dirname(__file__), "audio/assemblyai_company.mp3")
                ],
                audio_file,
            )

        btn = gr.Button("Run")

        out = gr.Textbox(
            placeholder="Your formatted transcript will appear here ...", lines=10
        )

        # Changing audio source changes Audio input component
        radio.change(
            fn=change_audio_source, inputs=[radio], outputs=[audio_file, mic_recording]
        )

        # Clicking "submit" uploads selected audio to AssemblyAI, performs requested analyses, and displays results
        btn.click(
            fn=submit_to_AAI,
            inputs=[api_key, radio, audio_file, mic_recording],
            outputs=out,
        )

    demo.queue(max_size=20, concurrency_count=10).launch(debug=True)