added video gen (Instant Video) and SDXL flash
Browse files
app.py
CHANGED
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@@ -516,7 +516,7 @@ with gr.Blocks() as voice:
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inputs=[input],
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outputs=[output], live=True)
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with gr.Blocks() as
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gr.Interface(
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fn=videochat,
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inputs=[gr.Image(type="pil",sources="webcam", label="Upload Image"), gr.Textbox(label="Prompt", value="what he is doing")],
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@@ -524,18 +524,28 @@ with gr.Blocks() as video:
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)
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with gr.Blocks() as god:
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gr.HTML("<iframe src='https://
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with gr.Blocks() as instant:
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gr.HTML("<iframe src='https://kingnish-instant-image.hf.space' width='100%' height='1000px' style='border-radius: 8px;'></iframe>")
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with gr.Blocks() as image:
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gr.Markdown("""### More
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gr.TabbedInterface([ god, instant], ['
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with gr.Blocks(theme=theme, title="OpenGPT 4o DEMO") as demo:
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gr.Markdown("# OpenGPT 4o")
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gr.TabbedInterface([chat, voice,
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demo.queue(max_size=300)
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demo.launch()
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inputs=[input],
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outputs=[output], live=True)
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+
with gr.Blocks() as livechat:
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gr.Interface(
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fn=videochat,
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inputs=[gr.Image(type="pil",sources="webcam", label="Upload Image"), gr.Textbox(label="Prompt", value="what he is doing")],
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)
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with gr.Blocks() as god:
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gr.HTML("<iframe src='https://kingnish-sdxl-flash.hf.space' width='100%' height='1200px' style='border-radius: 8px;'></iframe>")
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with gr.Blocks() as instant:
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gr.HTML("<iframe src='https://kingnish-instant-image.hf.space' width='100%' height='1000px' style='border-radius: 8px;'></iframe>")
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with gr.Blocks() as image:
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gr.Markdown("""### More models are coming""")
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gr.TabbedInterface([ god, instant], ['Powerful🖼️','Instant🖼️'])
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with gr.Blocks() as instant2:
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gr.HTML("<iframe src='https://kingnish-instant-video.hf.space' width='100%' height='2000px' style='border-radius: 8px;'></iframe>")
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with gr.Blocks() as video:
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gr.Markdown("""More Models are coming""")
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gr.TabbedInterface([ instant2], ['Instant🎥'])
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with gr.Blocks(theme=theme, title="OpenGPT 4o DEMO") as demo:
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gr.Markdown("# OpenGPT 4o")
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gr.TabbedInterface([chat, voice, livechat, image, video], ['💬 SuperChat','🗣️ Voice Chat','📸 Live Chat', '🖼️ Image Engine', '🎥 Video Engine'])
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demo.queue(max_size=300)
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demo.launch()
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