diff --git a/aiserver.py b/aiserver.py
index f9c2e13e..54805596 100644
--- a/aiserver.py
+++ b/aiserver.py
@@ -53,6 +53,7 @@ from utils import debounce
 import utils
 import structures
 import torch
+from transformers import StoppingCriteria, GPT2TokenizerFast, GPT2LMHeadModel, GPTNeoForCausalLM, GPTNeoModel, AutoModelForCausalLM, AutoTokenizer
 
 
 if lupa.LUA_VERSION[:2] != (5, 4):
@@ -321,6 +322,12 @@ class vars:
 
 utils.vars = vars
 
+class Send_to_socketio(object):
+    def write(self, bar):
+        print(bar, end="")
+        time.sleep(0.01)
+        emit('from_server', {'cmd': 'model_load_status', 'data': bar}, broadcast=True)
+                                
 # Set logging level to reduce chatter from Flask
 import logging
 log = logging.getLogger('werkzeug')
@@ -986,6 +993,10 @@ def load_model(use_gpu=True, key='', gpu_layers=None, initial_load=False):
     vars.noai = False
     if not initial_load:
         set_aibusy(True)
+        if vars.model != 'ReadOnly':
+            emit('from_server', {'cmd': 'model_load_status', 'data': "Loading {}".format(vars.model)}, broadcast=True)
+            #Have to add a sleep so the server will send the emit for some reason
+            time.sleep(0.1)
     if gpu_layers is not None:
         args.breakmodel_gpulayers = gpu_layers
     
@@ -1254,7 +1265,7 @@ def load_model(use_gpu=True, key='', gpu_layers=None, initial_load=False):
                         else:
                             num_tensors = len(device_map)
                         print(flush=True)
-                        utils.bar = tqdm(total=num_tensors, desc="Loading model tensors")
+                        utils.bar = tqdm(total=num_tensors, desc="Loading model tensors", file=Send_to_socketio())
 
                     with zipfile.ZipFile(f, "r") as z:
                         try:
@@ -1871,6 +1882,9 @@ def load_model(use_gpu=True, key='', gpu_layers=None, initial_load=False):
     final_startup()
     if not initial_load:
         set_aibusy(False)
+        print("Sending model window close")
+        emit('from_server', {'cmd': 'hide_model_name'}, broadcast=True)
+        time.sleep(0.1)
 
 
 # Set up Flask routes
diff --git a/static/application.js b/static/application.js
index 3da83d3b..3ea36fd0 100644
--- a/static/application.js
+++ b/static/application.js
@@ -2541,10 +2541,11 @@ $(document).ready(function(){
 			$("#showmodelnamecontainer").removeClass("hidden");
 		} else if(msg.cmd == 'hide_model_name') {
 			$("#showmodelnamecontainer").addClass("hidden");
+			//console.log("Closing window");
 		} else if(msg.cmd == 'model_load_status') {
 			$("#showmodelnamecontent").html("<div class=\"flex\"><div class=\"loadlistpadding\"></div><div class=\"loadlistitem\" style='align: left'>" + msg.data + "</div></div>");
 			$("#showmodelnamecontainer").removeClass("hidden");
-			console.log(msg.data);
+			//console.log(msg.data);
 		} else if(msg.cmd == 'oai_engines') {
 			RemoveAllButFirstOption($("#oaimodel")[0]);
 			for (const engine of msg.data) {