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app.py

@@ -11,9 +11,12 @@ logging.basicConfig(
 )
 logger = logging.getLogger(__name__)
 
-# Get token from environment (set in HF Space secrets)
+# Environment variables for configuration
 HF_TOKEN = os.environ.get("HF_TOKEN", "")
+MODEL_ID = os.environ.get("MODEL_ID", "distilbert/distilbert-base-uncased-finetuned-sst-2-english")
+
 logger.info(f"HF_TOKEN configured: {bool(HF_TOKEN)}")
+logger.info(f"MODEL_ID: {MODEL_ID}")
 
 client = InferenceClient(token=HF_TOKEN) if HF_TOKEN else InferenceClient()
 logger.info("InferenceClient initialized")
@@ -29,18 +32,15 @@ function() {
 
 def analyze(text: str) -> tuple[str, dict]:
     """Return emoji + label and confidence scores."""
-    logger.info(f"analyze() called with text length: {len(text)}")
+    logger.info(f"analyze() called | text_len={len(text)}")
     
     if not text.strip():
         logger.warning("Empty text received")
         return "🤔 Enter some text!", {}
     
     try:
-        logger.info("Calling text_classification API...")
-        result = client.text_classification(
-            text,
-            model="distilbert/distilbert-base-uncased-finetuned-sst-2-english",
-        )[0]
+        logger.info(f"Calling text_classification | model={MODEL_ID}")
+        result = client.text_classification(text, model=MODEL_ID)[0]
         
         label = result.label
         score = result.score