Huyen2310 commited on
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Update app.py

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  1. app.py +13 -197
app.py CHANGED
@@ -1,202 +1,18 @@
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- import os
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- os.system("pip install git+https://github.com/openai/whisper.git")
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  import gradio as gr
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- import whisper
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- from share_btn import community_icon_html, loading_icon_html, share_js
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- model = whisper.load_model("small")
 
 
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-
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- def inference(audio):
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- audio = whisper.load_audio(audio)
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- audio = whisper.pad_or_trim(audio)
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-
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- mel = whisper.log_mel_spectrogram(audio).to(model.device)
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-
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- _, probs = model.detect_language(mel)
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-
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- options = whisper.DecodingOptions(fp16 = False)
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- result = whisper.decode(model, mel, options)
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-
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- print(result.text)
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- return result.text, gr.update(visible=True), gr.update(visible=True), gr.update(visible=True)
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-
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-
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-
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-
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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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-
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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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-
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- block = gr.Blocks(css=css)
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-
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-
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-
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- with block:
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- gr.HTML(
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- """
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- <div style="text-align: center; max-width: 650px; margin: 0 auto;">
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- <div
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- style="
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- display: inline-flex;
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- align-items: center;
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- gap: 0.8rem;
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- font-size: 1.75rem;
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- "
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- >
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- <svg
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- width="0.65em"
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- height="0.65em"
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- viewBox="0 0 115 115"
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- fill="none"
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- xmlns="http://www.w3.org/2000/svg"
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- >
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- <rect width="23" height="23" fill="white"></rect>
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- <rect y="69" width="23" height="23" fill="white"></rect>
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- <rect x="23" width="23" height="23" fill="#AEAEAE"></rect>
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- <rect x="23" y="69" width="23" height="23" fill="#AEAEAE"></rect>
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- <rect x="46" width="23" height="23" fill="white"></rect>
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- <rect x="46" y="69" width="23" height="23" fill="white"></rect>
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- <rect x="69" width="23" height="23" fill="black"></rect>
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- <rect x="69" y="69" width="23" height="23" fill="black"></rect>
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- <rect x="92" width="23" height="23" fill="#D9D9D9"></rect>
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- <rect x="92" y="69" width="23" height="23" fill="#AEAEAE"></rect>
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- <rect x="115" y="46" width="23" height="23" fill="white"></rect>
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- <rect x="115" y="115" width="23" height="23" fill="white"></rect>
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- <rect x="115" y="69" width="23" height="23" fill="#D9D9D9"></rect>
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- <rect x="92" y="46" width="23" height="23" fill="#AEAEAE"></rect>
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- <rect x="92" y="115" width="23" height="23" fill="#AEAEAE"></rect>
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- <rect x="92" y="69" width="23" height="23" fill="white"></rect>
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- <rect x="69" y="46" width="23" height="23" fill="white"></rect>
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- <rect x="69" y="115" width="23" height="23" fill="white"></rect>
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- <rect x="69" y="69" width="23" height="23" fill="#D9D9D9"></rect>
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- <rect x="46" y="46" width="23" height="23" fill="black"></rect>
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- <rect x="46" y="115" width="23" height="23" fill="black"></rect>
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- <rect x="46" y="69" width="23" height="23" fill="black"></rect>
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- <rect x="23" y="46" width="23" height="23" fill="#D9D9D9"></rect>
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- <rect x="23" y="115" width="23" height="23" fill="#AEAEAE"></rect>
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- <rect x="23" y="69" width="23" height="23" fill="black"></rect>
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- </svg>
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- <h1 style="font-weight: 900; margin-bottom: 7px;">
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- Whisper
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- </h1>
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- </div>
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- <p style="margin-bottom: 10px; font-size: 94%">
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- Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multi-task model that can perform multilingual speech recognition as well as speech translation and language identification. This demo cuts audio after around 30 secs.
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- </p>
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- <p>You can skip the queue by using google colab for the space: <a href="https://colab.research.google.com/drive/1WJ98KHgZxFGrHiMm4TyWZllSew_Af_ff?usp=sharing"><img data-canonical-src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab" src="https://camo.githubusercontent.com/84f0493939e0c4de4e6dbe113251b4bfb5353e57134ffd9fcab6b8714514d4d1/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667"></a></p>
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- </div>
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- """
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- )
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- with gr.Group():
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- with gr.Box():
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- with gr.Row().style(mobile_collapse=False, equal_height=True):
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- audio = gr.Audio(
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- label="Input Audio",
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- show_label=False,
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- source="microphone",
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- type="filepath"
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- )
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-
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- btn = gr.Button("Transcribe")
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- text = gr.Textbox(show_label=False, elem_id="result-textarea")
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- with gr.Group(elem_id="share-btn-container"):
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- community_icon = gr.HTML(community_icon_html, visible=False)
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- loading_icon = gr.HTML(loading_icon_html, visible=False)
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- share_button = gr.Button("Share to community", elem_id="share-btn", visible=False)
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-
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-
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-
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-
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- btn.click(inference, inputs=[audio], outputs=[text, community_icon, loading_icon, share_button])
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- share_button.click(None, [], [], _js=share_js)
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-
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- gr.HTML('''
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- <div class="footer">
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- <p>Model by <a href="https://github.com/openai/whisper" style="text-decoration: underline;" target="_blank">OpenAI</a> - Gradio Demo by 🤗 Hugging Face
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- </p>
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- </div>
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- ''')
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-
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- block.launch()
 
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+ from transformers import pipeline
 
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  import gradio as gr
 
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+ pipe = pipeline(model="sanchit-gandhi/whisper-small-hi") # change to "your-username/the-name-you-picked"
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+ def transcribe(audio):
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+ text = pipe(audio)["text"]
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+ return text
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+ iface = gr.Interface(
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+ fn=transcribe,
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+ inputs=gr.Audio(source="microphone", type="filepath"),
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+ outputs="text",
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+ title="Whisper Small Hindi",
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+ description="Realtime demo for Hindi speech recognition using a fine-tuned Whisper small model.",
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+ )
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+ iface.launch()