Update app.py

app.py

@@ -100,7 +100,7 @@ def predict_icd(text_input, model_name, label_count):
     num_labels = label_dict.shape[0]
     
     if model_name != "ClinicalLongformer":
-        config_json = "meghanaraok/"+model_name+"_"+label_count+"/config.json"
+        config_json = "config/"+model_name+"_"+label_count+"/config.json"
         parser = HfArgumentParser((ModelArguments, DataTrainingArguments, TrainingArguments))
         model_args, data_args, training_args = parser.parse_json_file(json_file=config_json)
         coding_model_config, model_class = get_coding_model_config(model_name, model_args, data_args, label_dict, label_dict.shape[0])