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Rich Gregson
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15cc3f6
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Parent(s):
0afe8f4
Update app.py
Browse files
app.py
CHANGED
@@ -5,7 +5,7 @@ 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("
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@@ -159,11 +159,11 @@ with block:
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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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</h1>
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</div>
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<p style="margin-bottom: 10px; font-size: 94%">
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-
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</p>
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</div>
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"""
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@@ -183,17 +183,13 @@ with block:
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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
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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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btn.click(inference, inputs=[audio], outputs=[text])
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gr.HTML('''
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<div class="footer">
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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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<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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</div>
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"""
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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 on the Discussion Forum", elem_id="share-btn", visible=False)
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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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gr.HTML('''
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<div class="footer">
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