Exact worked version in colab

app.py

@@ -1,15 +1,17 @@
+# app.py
+import random
 import torch
 import gradio as gr
 from transformers import AutoModelForCausalLM, AutoTokenizer
-from util_funcs import getLengthParam, calcAnswerLengthByProbability, cropContext
+# from util_funcs import getLengthParam, calcAnswerLengthByProbability, cropContext
 
 def chat_function(Message, History):   # model, tokenizer
 
     input_user = Message
 
-    History = History or []
+    history = History or []
 
-    chat_history_ids = torch.zeros((1, 0), dtype=torch.int) if History == [] else torch.tensor(history[-1][2], dtype=torch.long)
+    chat_history_ids = torch.zeros((1, 0), dtype=torch.int) if history == [] else torch.tensor(history[-1][2], dtype=torch.long)
 
     # encode the new user input, add parameters and return a tensor in Pytorch
     lengthId = getLengthParam(input_user, tokenizer)
@@ -78,7 +80,7 @@ def chat_function(Message, History):   # model, tokenizer
         # Случай когда надо перегенерировать ответ наступил, берем изначальный тензор
         chat_history_ids = chat_history_ids_initial
 
-    History.append((input_user, answer, chat_history_ids.tolist()))        
+    history.append((input_user, answer, chat_history_ids.tolist()))        
     html = "<div class='chatbot'>"
     for user_msg, resp_msg, _ in history:
         if user_msg != '-':
@@ -86,7 +88,7 @@ def chat_function(Message, History):   # model, tokenizer
         if resp_msg != '-':
             html += f"<div class='resp_msg'>{resp_msg}</div>"
     html += "</div>"
-    return html, History
+    return html, history
 
 # Download checkpoint:
 
@@ -105,8 +107,8 @@ description = """
 article = "<p style='text-align: center'><a href='https://huggingface.co/avorozhko/ruDialoGpt3-medium-finetuned-context'>Бот на основе дообученной GPT-3</a></p>"
 
 iface = gr.Interface(fn=chat_function,
-                     inputs=[gr.inputs.Textbox(lines=3, placeholder="Что вы хотите сказать боту..."), 'state'],
-                     outputs=['html', 'state'],
+                     inputs=[gr.inputs.Textbox(lines=3, placeholder="Что вы хотите сказать боту..."), "state"],
+                     outputs=["html", "state"],
                      title=title, description=description, article=article,
                      theme='dark-grass',
                      css= """
@@ -122,4 +124,4 @@ iface = gr.Interface(fn=chat_function,
                     )
 
 if __name__ == "__main__":
-  iface.launch(debug=False, share=True)
+  iface.launch(debug=True)