import gradio as gr import os from helpers import make_header, upload_file, request_transcript, wait_for_completion, make_paragraphs_string title = """

šŸ”„AssemblyAI: Conformer-1 DemošŸ”„

""" subtitle = """

Automatic Speech Recognition using the AssemblyAI API

""" link = """

Click here to learn more about the Conformer-1 model

""" 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 header = make_header(api_key) # 1. Upload the audio upload_url = upload_file(audio_data, header, is_file=False) # 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('
') gr.HTML(title) gr.HTML(subtitle) gr.HTML(link) gr.HTML('''
Duplicate SpaceDuplicate the Space and run securely with your AssemblyAI API Key
''') 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.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.launch(debug=True)