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Runtime error
Runtime error
Harshad Bhandwaldar
commited on
Commit
·
97970d4
1
Parent(s):
ef69a46
model added
Browse files
app.py
CHANGED
@@ -20,94 +20,11 @@ def speech_record(x):
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text = model.transcribe([f"{x}"])
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return text
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css = """
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.gradio-container {
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font-family: 'IBM Plex Sans', sans-serif;
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}
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.gr-button {
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color: white;
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border-color: black;
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background: black;
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}
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input[type='range'] {
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accent-color: black;
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}
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.dark input[type='range'] {
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accent-color: #dfdfdf;
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}
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.container {
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max-width: 730px;
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margin: auto;
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padding-top: 1.5rem;
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}
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.details:hover {
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text-decoration: underline;
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}
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.gr-button {
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white-space: nowrap;
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}
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.gr-button:focus {
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border-color: rgb(147 197 253 / var(--tw-border-opacity));
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outline: none;
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box-shadow: var(--tw-ring-offset-shadow), var(--tw-ring-shadow), var(--tw-shadow, 0 0 #0000);
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--tw-border-opacity: 1;
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--tw-ring-offset-shadow: var(--tw-ring-inset) 0 0 0 var(--tw-ring-offset-width) var(--tw-ring-offset-color);
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--tw-ring-shadow: var(--tw-ring-inset) 0 0 0 calc(3px var(--tw-ring-offset-width)) var(--tw-ring-color);
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--tw-ring-color: rgb(191 219 254 / var(--tw-ring-opacity));
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--tw-ring-opacity: .5;
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}
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.footer {
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margin-bottom: 45px;
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margin-top: 35px;
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text-align: center;
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border-bottom: 1px solid #e5e5e5;
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}
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.footer>p {
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font-size: .8rem;
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display: inline-block;
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padding: 0 10px;
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transform: translateY(10px);
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background: white;
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}
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.dark .footer {
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border-color: #303030;
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}
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.dark .footer>p {
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background: #0b0f19;
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}
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.prompt h4{
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margin: 1.25em 0 .25em 0;
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font-weight: bold;
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font-size: 115%;
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}
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.animate-spin {
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animation: spin 1s linear infinite;
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}
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@keyframes spin {
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from {
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transform: rotate(0deg);
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}
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to {
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transform: rotate(360deg);
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}
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}
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#share-btn-container {
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display: flex; margin-top: 1.5rem !important; padding-left: 0.5rem !important; padding-right: 0.5rem !important; background-color: #000000; justify-content: center; align-items: center; border-radius: 9999px !important; width: 13rem;
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}
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#share-btn {
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all: initial; color: #ffffff;font-weight: 600; cursor:pointer; font-family: 'IBM Plex Sans', sans-serif; margin-left: 0.5rem !important; padding-top: 0.25rem !important; padding-bottom: 0.25rem !important;
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}
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#share-btn * {
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all: unset;
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}
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"""
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with gr.Blocks(
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gr.Markdown(
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"""
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QuartzNet is a Jasper-like network that uses separable convolutions and larger filter sizes. It has comparable accuracy to Jasper while having much fewer parameters. This particular model has 15 blocks each repeated 5 times.
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""")
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with gr.Tab("Audio File"):
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@@ -121,12 +38,6 @@ with gr.Blocks(css = css) as demo:
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audio_input3 = gr.Audio(label="Input Audio", source="microphone", type="filepath")
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text_output3 = gr.Textbox(label="Transcription", show_label=False)
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rec_button = gr.Button("Transcribe")
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gr.HTML('''
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<div class="footer">
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<p></a>
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</p>
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</div>
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''')
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file_button.click(speech_file, inputs=audio_input2, outputs=text_output2)
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rec_button.click(speech_record, inputs=audio_input3, outputs=text_output3)
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text = model.transcribe([f"{x}"])
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return text
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with gr.Blocks() as demo:
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gr.Markdown(
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"""
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## Speech to Text - NVIDIA Qaurtznet15x5 (English)
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""")
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with gr.Tab("Audio File"):
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audio_input3 = gr.Audio(label="Input Audio", source="microphone", type="filepath")
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text_output3 = gr.Textbox(label="Transcription", show_label=False)
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rec_button = gr.Button("Transcribe")
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file_button.click(speech_file, inputs=audio_input2, outputs=text_output2)
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rec_button.click(speech_record, inputs=audio_input3, outputs=text_output3)
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