diff --git a/extensions/Training_PRO/script.py b/extensions/Training_PRO/script.py
index 8f296462..5365154c 100644
--- a/extensions/Training_PRO/script.py
+++ b/extensions/Training_PRO/script.py
@@ -241,7 +241,7 @@ def ui():
                         stride_length = gr.Slider(label='Stride', minimum=1, maximum=2048, value=512, step=1, info='Used to make the evaluation faster at the cost of accuracy. 1 = slowest but most accurate. 512 is a common value.')
 
                     with gr.Column():
-                        max_length = gr.Slider(label='max_length', minimum=0, maximum=shared.settings['truncation_length_max'], value=0, step=1, info='The context for each evaluation. If set to 0, the maximum context length for the model will be used.')
+                        max_length = gr.Number(label='max_length', precision=0, step=256, value=0, info='The context for each evaluation. If set to 0, the maximum context length for the model will be used.')
 
                 with gr.Row():
                     start_current_evaluation = gr.Button("Evaluate loaded model")
diff --git a/extensions/openai/completions.py b/extensions/openai/completions.py
index 646dee2d..362620fa 100644
--- a/extensions/openai/completions.py
+++ b/extensions/openai/completions.py
@@ -154,8 +154,9 @@ def convert_history(history):
                     elif item['type'] == 'text' and isinstance(item['text'], str):
                         content = item['text']
 
-                if image_url and content:
+                if image_url:
                     new_history.append({"image_url": image_url, "role": "user"})
+                if content:
                     new_history.append({"content": content, "role": "user"})
             else:
                 new_history.append(entry)
diff --git a/modules/text_generation.py b/modules/text_generation.py
index 75e5ef36..e7a2b43f 100644
--- a/modules/text_generation.py
+++ b/modules/text_generation.py
@@ -274,7 +274,12 @@ def get_reply_from_output_ids(output_ids, state=None, starting_from=0):
     if (hasattr(shared.tokenizer, 'convert_ids_to_tokens') and len(output_ids) > starting_from) and not reply.startswith(' '):
         first_token = shared.tokenizer.convert_ids_to_tokens(int(output_ids[starting_from]))
         if isinstance(first_token, (bytes,)):
-            first_token = first_token.decode('utf8')
+            #try to decode the bytes to a string
+            try:
+                first_token = first_token.decode('utf8')
+            #if it fails, which means it's not a string in this turn, just ignore it
+            except UnicodeDecodeError:
+                first_token = ''
 
         if first_token.startswith('▁'):
             reply = ' ' + reply