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Update app.py
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app.py
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import gradio as gr
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# Import modules from other files
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from chatbot import
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from
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# Define Gradio theme
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theme = gr.themes.Soft(
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primary_hue="
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secondary_hue="
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neutral_hue="gray",
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font=[gr.themes.GoogleFont('
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).set(
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body_background_fill_dark="#111111",
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block_background_fill_dark="#111111",
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block_border_width="1px",
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block_title_background_fill_dark="#1e1c26",
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input_background_fill_dark="#292733",
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button_secondary_background_fill_dark="#24212b",
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border_color_primary_dark="#343140",
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background_fill_secondary_dark="#111111",
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color_accent_soft_dark="transparent"
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)
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gr.Markdown("## Temproraly Not Working (Update in Progress)")
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# Chat interface block
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with gr.Blocks(
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fill_height=True,
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css=""".gradio-container .avatar-container {height: 40px width: 40px !important;} #duplicate-button {margin: auto; color: white; background: #f1a139; border-radius: 100vh; margin-top: 2px; margin-bottom: 2px;}""",
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) as chat:
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gr.Markdown("###
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gr.ChatInterface(
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fn=model_inference,
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chatbot=chatbot,
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examples=EXAMPLES,
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multimodal=True,
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cache_examples=False,
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],
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)
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# Live chat block
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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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outputs=gr.Textbox(label="Answer")
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)
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with gr.Blocks() as image:
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gr.HTML("<iframe src='https://kingnish-image-gen-pro.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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# Main application block
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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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import gradio as gr
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# Import modules from other files
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from chatbot import model_inference, EXAMPLES, chatbot
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from voice_chat import respond
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# Define Gradio theme
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theme = gr.themes.Soft(
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primary_hue="sky",
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secondary_hue="violet",
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neutral_hue="gray",
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font=[gr.themes.GoogleFont('orbitron')]
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)
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# Create Gradio blocks for different functionalities
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# Chat interface block
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with gr.Blocks(
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css=""".gradio-container .avatar-container {height: 40px width: 40px !important;} #duplicate-button {margin: auto; color: white; background: #f1a139; border-radius: 100vh; margin-top: 2px; margin-bottom: 2px;}""",
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) as chat:
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gr.Markdown("### Image Chat, Image Generation, Image classification and Normal Chat")
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gr.ChatInterface(
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fn=model_inference,
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chatbot = chatbot,
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examples=EXAMPLES,
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multimodal=True,
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cache_examples=False,
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autofocus=False,
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concurrency_limit=10,
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)
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# Voice chat block
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with gr.Blocks() as voice:
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with gr.Row():
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audio_input = gr.Audio(label="Voice Chat (BETA)", sources="microphone", type="filepath", waveform_options=False)
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output = gr.Audio(label="JARVIS", type="filepath", interactive=False, autoplay=True, elem_classes="audio")
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audio_input.change( fn=respond, inputs=[audio_input], outputs=[output], queue=False)
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with gr.Blocks() as image:
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gr.HTML("<iframe src='https://kingnish-image-gen-pro.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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# Main application block
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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, image, video], ['💬 SuperChat','🗣️ Voice Chat', '🖼️ Image Engine', '🎥 Video Engine'])
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demo.queue(max_size=300)
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demo.launch()
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