Add application file

app.py

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+import gradio as gr
+from parser import parse
+
+
+def parse_problem(question:str):
+    return parse(question).model_dump()
+
+
+demo = gr.Interface(
+    fn=parse_problem,
+    inputs=gr.Textbox(
+        lines=5,
+        label="Problem"
+    ),
+    outputs=gr.JSON(),
+    title="Combinatorics Parser",
+    description="Semantic parser for combinatorics problems."
+)
+
+demo.launch()

parser.py

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+from schema import ProblemObject
+
+
+def parse(question: str):
+
+    return ProblemObject(
+
+        schemaVersion="1.0",
+
+        status="complete",
+
+        confidence=1.0,
+
+        domain="combinatorics",
+
+        problemType="combination",
+
+        intent="choose",
+
+        entities={
+            "object": "students"
+        },
+
+        parameters={
+            "n": 10,
+            "r": 3
+        },
+
+        constraints={
+            "orderMatters": False
+        },
+
+        missing=[],
+
+        ambiguities=[],
+
+        diagnostics=[],
+
+        metadata={
+            "engine": "dummy-parser"
+        }
+    )

requirements.txt

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+gradio
+fastapi
+uvicorn
+pydantic

schema.py

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+from typing import Optional, Dict, List, Any
+from pydantic import BaseModel
+
+
+class Diagnostic(BaseModel):
+    severity: str
+    message: str
+
+
+class ProblemObject(BaseModel):
+    schemaVersion: str
+    status: str
+    confidence: float
+
+    domain: Optional[str]
+    problemType: Optional[str]
+    intent: Optional[str]
+
+    entities: Dict[str, Any]
+    parameters: Dict[str, Any]
+    constraints: Dict[str, Any]
+
+    missing: List[str]
+    ambiguities: List[Any]
+    diagnostics: List[Diagnostic]
+    metadata: Dict[str, Any]