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Create backup.py
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backup.py
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import gradio as gr
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# Custom CSS for gradient background and styling
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custom_css = """
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.gradio-container {
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background: linear-gradient(135deg, #667eea 0%, #764ba2 25%, #f093fb 50%, #4facfe 75%, #00f2fe 100%);
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background-size: 400% 400%;
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animation: gradient-animation 15s ease infinite;
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min-height: 100vh;
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}
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@keyframes gradient-animation {
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0% { background-position: 0% 50%; }
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50% { background-position: 100% 50%; }
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100% { background-position: 0% 50%; }
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}
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.dark .gradio-container {
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background: linear-gradient(135deg, #1a1a2e 0%, #16213e 25%, #0f3460 50%, #533483 75%, #e94560 100%);
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background-size: 400% 400%;
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animation: gradient-animation 15s ease infinite;
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}
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/* Style for content areas */
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.main-container {
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background-color: rgba(255, 255, 255, 0.95);
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backdrop-filter: blur(10px);
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border-radius: 20px;
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padding: 20px;
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box-shadow: 0 8px 32px 0 rgba(31, 38, 135, 0.37);
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border: 1px solid rgba(255, 255, 255, 0.18);
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margin: 10px;
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}
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.dark .main-container {
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background-color: rgba(30, 30, 30, 0.95);
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border: 1px solid rgba(255, 255, 255, 0.1);
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}
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"""
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# State variable to track current model
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current_model = gr.State("openai/gpt-oss-120b")
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def switch_model(model_choice):
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"""Function to switch between models"""
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return gr.update(visible=False), gr.update(visible=True), model_choice
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with gr.Blocks(fill_height=True, theme=gr.themes.Soft, css=custom_css) as demo:
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with gr.Row():
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# Sidebar
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with gr.Column(scale=1):
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with gr.Group(elem_classes="main-container"):
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gr.Markdown("# ๐ Inference Provider")
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gr.Markdown(
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"This Space showcases OpenAI GPT-OSS models, served by the Cerebras API. "
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"Sign in with your Hugging Face account to use this API."
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)
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# Model selection
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model_dropdown = gr.Dropdown(
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choices=[
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"openai/gpt-oss-120b",
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"openai/gpt-oss-20b"
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],
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value="openai/gpt-oss-120b",
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label="๐ Select Model",
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info="Choose between different model sizes"
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)
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# Login button
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login_button = gr.LoginButton("Sign in with Hugging Face", size="lg")
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# Reload button to apply model change
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reload_btn = gr.Button("๐ Apply Model Change", variant="primary", size="lg")
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# Additional options
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with gr.Accordion("โ๏ธ Advanced Options", open=False):
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gr.Markdown("*These options will be available after model implementation*")
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temperature = gr.Slider(
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minimum=0,
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maximum=2,
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value=0.7,
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step=0.1,
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label="Temperature"
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)
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max_tokens = gr.Slider(
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minimum=1,
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maximum=4096,
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value=512,
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step=1,
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label="Max Tokens"
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)
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# Main chat area
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with gr.Column(scale=3):
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with gr.Group(elem_classes="main-container"):
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gr.Markdown("## ๐ฌ Chat Interface")
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# Container for model interfaces
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with gr.Column(visible=True) as model_120b_container:
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gr.Markdown("### Model: openai/gpt-oss-120b")
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gr.load("models/openai/gpt-oss-120b", accept_token=login_button, provider="fireworks-ai")
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with gr.Column(visible=False) as model_20b_container:
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gr.Markdown("### Model: openai/gpt-oss-20b")
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gr.load("models/openai/gpt-oss-20b", accept_token=login_button, provider="fireworks-ai")
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# Handle model switching
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reload_btn.click(
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fn=switch_model,
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inputs=[model_dropdown],
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outputs=[model_120b_container, model_20b_container, current_model]
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).then(
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fn=lambda: gr.Info("Model switched successfully!"),
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inputs=[],
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outputs=[]
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)
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# Update visibility based on dropdown selection
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def update_visibility(model_choice):
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if model_choice == "openai/gpt-oss-120b":
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return gr.update(visible=True), gr.update(visible=False)
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else:
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return gr.update(visible=False), gr.update(visible=True)
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model_dropdown.change(
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fn=update_visibility,
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inputs=[model_dropdown],
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outputs=[model_120b_container, model_20b_container]
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)
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demo.launch()
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