Use HF dataset + fix ticker column + serve index.html

app.py

@@ -28,7 +28,7 @@ app.add_middleware(
 )
 
 # ---------------------------------------------------------
-# Load Hugging Face dataset (cached)
+# Load Hugging Face dataset (lazy load)
 # ---------------------------------------------------------
 DATASET_NAME = "kurry/sp500_earnings_transcripts"
 dataset_cache = None
@@ -71,7 +71,7 @@ def serve_index():
 @app.get("/tickers")
 def get_tickers():
     ds = load_hf_dataset()
-    tickers = sorted(set(ds["symbol"]))
+    tickers = sorted(set([t.upper() for t in ds["ticker"]]))
     return {"tickers": tickers}
 
 # ---------------------------------------------------------
@@ -84,7 +84,7 @@ def get_transcript(symbol: str):
 
     logger.info(f"Fetching transcript for: {symbol}")
 
-    rows = [r for r in ds if r["symbol"].upper() == symbol]
+    rows = [r for r in ds if r["ticker"].upper() == symbol]
 
     if not rows:
         raise HTTPException(status_code=404, detail=f"No transcript found for {symbol}")