Create app.py

app.py

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+"""
+hv-split-demo -- Gradio Space for the interpretation splitter.
+
+Deploy:
+    huggingface-cli repo create hv-split-demo --type space --space-sdk gradio
+    # upload: app.py, hv_split.py, requirements.txt
+"""
+
+import gradio as gr
+
+from hv_split import HVInterpret
+
+
+M = HVInterpret()
+
+SAMPLES = [
+    ["I need to access the bank"],
+    ["All that glitters is not gold"],
+    ["Why did the CEO resign last week?"],
+    ["in the language of category theory, what is an identity?"],
+    [
+        "why did the current bank say recently that the function she "
+        "used in the language of category theory had changed?"
+    ],
+    ["compute 2 + 2"],
+]
+
+
+def split(query):
+    if not query.strip():
+        return "", "", ""
+    b = M.split(query)
+    summary = (
+        f"ambiguity_score : {b.ambiguity_score:.3f}\n"
+        f"confidence      : {b.confidence:.3f}\n"
+        f"sources         : {', '.join(b.sources) or '(none)'}\n"
+        f"interpretations : {b.n_interpretations}"
+    )
+    rows = ["prior    source             reading"]
+    rows.append("-" * 70)
+    for i in b.interpretations:
+        rows.append(f"{i.prior:.3f}  {i.source:<17}  {i.reading}")
+    table = "\n".join(rows)
+    md = M.render(b, mode="markdown")
+    return summary, table, md
+
+
+with gr.Blocks(title="hv-split demo") as demo:
+    gr.Markdown(
+        "# hv-split\n"
+        "Split an ambiguous query into a ranked bundle of "
+        "interpretations.\n\n"
+        "**Every generative model picks one reading. This one "
+        "refuses to pick.**"
+    )
+    with gr.Row():
+        with gr.Column():
+            query = gr.Textbox(
+                label="Query", value=SAMPLES[0][0], lines=3
+            )
+            btn = gr.Button("Split", variant="primary")
+        with gr.Column():
+            summary = gr.Textbox(label="Summary", lines=5)
+            table = gr.Textbox(label="Interpretations", lines=14)
+            md = gr.Markdown(label="Markdown")
+
+    gr.Examples(
+        examples=SAMPLES,
+        inputs=[query],
+        outputs=[summary, table, md],
+    )
+
+    btn.click(split, inputs=[query], outputs=[summary, table, md])
+
+
+if __name__ == "__main__":
+    demo.launch()