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Fix Python 3.13: upgrade to Gradio 5, use gr.Tab instead of gr.TabItem
Browse files
app.py
CHANGED
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@@ -759,7 +759,7 @@ with gr.Blocks(title="VORTEXRAG β 7-Layer Causal RAG") as demo:
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with gr.Tabs():
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# ββ Tab 1: Pipeline Demo βββββββββββββββββββββββββββββββββββββββββββββββ
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with gr.
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with gr.Row():
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with gr.Column(scale=1):
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example_dd = gr.Dropdown(
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@@ -800,11 +800,11 @@ with gr.Blocks(title="VORTEXRAG β 7-Layer Causal RAG") as demo:
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)
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# ββ Tab 2: Architecture ββββββββββββββββββββββββββββββββββββββββββββββββ
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with gr.
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gr.Markdown(HOW_IT_WORKS)
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# ββ Tab 3: Benchmarks βββββββββββββββββββββββββββββββββββββββββββββββββ
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with gr.
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gr.Markdown("### Main Results β NQ + HotpotQA + MuSiQue + 2WikiMultiHopQA")
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gr.DataFrame(value=make_benchmark_df(), label="System Comparison", interactive=False)
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@@ -815,7 +815,7 @@ with gr.Blocks(title="VORTEXRAG β 7-Layer Causal RAG") as demo:
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gr.DataFrame(value=make_latency_df(), label="Latency", interactive=False)
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# ββ Tab 4: Domain Presets βββββββββββββββββββββββββββββββββββββββββββββ
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with gr.
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gr.Markdown("### 11 Domain Preset Parameter Vectors")
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gr.Markdown(
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"Each domain preset is a 7-tuple (Ξ±, Ξ², Ξ³, Ο, ΞΈ_CPG, Ξ΄_SDC, Ξ΄_FV) calibrated "
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@@ -825,11 +825,11 @@ with gr.Blocks(title="VORTEXRAG β 7-Layer Causal RAG") as demo:
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gr.DataFrame(value=make_domain_df(), label="Domain Parameters", interactive=False)
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# ββ Tab 5: Case Studies βββββββββββββββββββββββββββββββββββββββββββββββ
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with gr.
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gr.Markdown(CASE_STUDIES)
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# ββ Tab 6: Citation βββββββββββββββββββββββββββββββββββββββββββββββββββ
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with gr.
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gr.Markdown(CITATION_TEXT)
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with gr.Tabs():
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# ββ Tab 1: Pipeline Demo βββββββββββββββββββββββββββββββββββββββββββββββ
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with gr.Tab("Pipeline Demo"):
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with gr.Row():
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with gr.Column(scale=1):
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example_dd = gr.Dropdown(
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)
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# ββ Tab 2: Architecture ββββββββββββββββββββββββββββββββββββββββββββββββ
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with gr.Tab("Architecture"):
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gr.Markdown(HOW_IT_WORKS)
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# ββ Tab 3: Benchmarks βββββββββββββββββββββββββββββββββββββββββββββββββ
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with gr.Tab("Benchmarks"):
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gr.Markdown("### Main Results β NQ + HotpotQA + MuSiQue + 2WikiMultiHopQA")
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gr.DataFrame(value=make_benchmark_df(), label="System Comparison", interactive=False)
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gr.DataFrame(value=make_latency_df(), label="Latency", interactive=False)
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# ββ Tab 4: Domain Presets βββββββββββββββββββββββββββββββββββββββββββββ
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with gr.Tab("Domain Presets"):
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gr.Markdown("### 11 Domain Preset Parameter Vectors")
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gr.Markdown(
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"Each domain preset is a 7-tuple (Ξ±, Ξ², Ξ³, Ο, ΞΈ_CPG, Ξ΄_SDC, Ξ΄_FV) calibrated "
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gr.DataFrame(value=make_domain_df(), label="Domain Parameters", interactive=False)
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# ββ Tab 5: Case Studies βββββββββββββββββββββββββββββββββββββββββββββββ
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with gr.Tab("Case Studies"):
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gr.Markdown(CASE_STUDIES)
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# ββ Tab 6: Citation βββββββββββββββββββββββββββββββββββββββββββββββββββ
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with gr.Tab("Citation"):
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gr.Markdown(CITATION_TEXT)
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