error

app.py

@@ -3,7 +3,8 @@ from pathlib import Path
 from typing import List, Dict
 
 import gradio as gr
-from pydantic import BaseModel, Field, validator
+from pydantic import BaseModel, Field, field_validator
+from fastapi import FastAPI, HTTPException
 
 # --------------- Configuration ---------------
 LEADERBOARD_PATH = Path("leaderboard_data.json")
@@ -31,7 +32,7 @@ class LeaderboardEntry(BaseModel):
     llm_pass_10: float
     metrics: Metrics
 
-    @validator("bleu", "llm_pass_1", "llm_pass_5", "llm_pass_10", each_item=True)
+    @field_validator("bleu", "llm_pass_1", "llm_pass_5", "llm_pass_10")
     def score_range(cls, v: float):
         if not 0.0 <= v <= 1.0:
             raise ValueError("Scores should be between 0 and 1")
@@ -188,5 +189,77 @@ with gr.Blocks(title="Custom LLM Leaderboard") as demo:
             outputs=[leaderboard_df, status_markdown],
         )
 
-# Expose app variable for Spaces
-app = demo
+# ----------------- FastAPI backend -----------------
+
+backend = FastAPI(title="LLM Leaderboard API")
+
+
+class APISubmission(BaseModel):
+    model_name: str
+    bleu: float
+    llm_pass_1: float
+    llm_pass_5: float
+    llm_pass_10: float
+    readability: float
+    relevance: float
+    explanation_clarity: float
+    problem_identification: float
+    actionability: float
+    completeness: float
+    specificity: float
+    contextual_adequacy: float
+    consistency: float
+    brevity: float
+
+
+@backend.post("/submit")
+def api_submit(payload: APISubmission):
+    """Submit results via raw HTTP POST (JSON)."""
+    try:
+        LeaderboardEntry(
+            model_name=payload.model_name.strip(),
+            bleu=payload.bleu,
+            llm_pass_1=payload.llm_pass_1,
+            llm_pass_5=payload.llm_pass_5,
+            llm_pass_10=payload.llm_pass_10,
+            metrics={
+                "readability": payload.readability,
+                "relevance": payload.relevance,
+                "explanation_clarity": payload.explanation_clarity,
+                "problem_identification": payload.problem_identification,
+                "actionability": payload.actionability,
+                "completeness": payload.completeness,
+                "specificity": payload.specificity,
+                "contextual_adequacy": payload.contextual_adequacy,
+                "consistency": payload.consistency,
+                "brevity": payload.brevity,
+            },
+        )
+    except Exception as e:
+        raise HTTPException(status_code=400, detail=str(e))
+
+    # If valid, reuse same logic
+    submit_model(
+        payload.model_name,
+        payload.bleu,
+        payload.llm_pass_1,
+        payload.llm_pass_5,
+        payload.llm_pass_10,
+        payload.readability,
+        payload.relevance,
+        payload.explanation_clarity,
+        payload.problem_identification,
+        payload.actionability,
+        payload.completeness,
+        payload.specificity,
+        payload.contextual_adequacy,
+        payload.consistency,
+        payload.brevity,
+    )
+
+    return {"status": "ok", "message": "Submission stored"}
+
+
+# ----------------- Mount Gradio -----------------
+
+app = gr.mount_gradio_app(backend, demo, path="/")