Update app.py

app.py

@@ -189,13 +189,14 @@ def certification(hf_username):
           best_result, best_model_id = calculate_best_result(user_asr_models, task = "automatic-speech-recognition")
           unit["best_result"] = best_result
           unit["best_model_id"] = best_model_id
-          if unit["best_result"] <= unit["baseline_metric"]:
+          if unit["best_result"] / 100 <= unit["baseline_metric"]:
             unit["passed_"] = True
             unit["passed"] = pass_emoji(unit["passed_"])
         except: print("Either no relevant models found, or no metrics in the model card for automatic speech recognition")
       case "text-to-speech":
         try:
           user_tts_models = get_user_models(hf_username, task = "text-to-speech")
+          print(f"\nTTS {user_tts_models}\n")
           if user_tts_models:
             unit["best_result"] = 0
             unit["best_model_id"] = user_tts_models[0]