Update app.py

app.py

@@ -203,6 +203,16 @@ def certification(hf_username):
             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-audio":
+        try:
+          user_tts_models = get_user_models(hf_username, task = "text-to-audio")
+          print(f"\nTTA {user_tts_models}\n")
+          if user_tts_models:
+            unit["best_result"] = 0
+            unit["best_model_id"] = user_tts_models[0]
+            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 "demo":
         try:
           u7_usernames = hf_hub_download(USERNAMES_DATASET_ID, repo_type = "dataset", filename="usernames.csv", token=HF_TOKEN)