error

app.py

@@ -4,7 +4,6 @@ from typing import List, Dict
 
 import gradio as gr
 from pydantic import BaseModel, Field, field_validator
-from fastapi import FastAPI, HTTPException
 
 # --------------- Configuration ---------------
 LEADERBOARD_PATH = Path("leaderboard_data.json")
@@ -187,79 +186,38 @@ with gr.Blocks(title="Custom LLM Leaderboard") as demo:
                 brevity_inp,
             ],
             outputs=[leaderboard_df, status_markdown],
+            api_name="submit_model",
         )
 
-# ----------------- 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="/")
+# Ensure API endpoint for programmatic submissions
+submit_btn.click(
+    fn=submit_model,
+    inputs=[
+        model_name_inp,
+        bleu_inp,
+        pass1_inp,
+        pass5_inp,
+        pass10_inp,
+        readability_inp,
+        relevance_inp,
+        explanation_inp,
+        problem_inp,
+        actionability_inp,
+        completeness_inp,
+        specificity_inp,
+        contextual_inp,
+        consistency_inp,
+        brevity_inp,
+    ],
+    outputs=[leaderboard_df, status_markdown],
+    api_name="submit_model",
+)
+
+
+# ----------------- Launch -----------------
+
+if __name__ == "__main__":
+    demo.queue().launch()
+
+# For HF Spaces runtime (gradio SDK) expose `demo`
+app = demo