Update app.py

https://www.linkedin.com/pulse/ai-goes-job-interview-g%C3%B6rkem-g%C3%B6knar/

app.py

@@ -10,12 +10,19 @@ tokenizer = GPT2Tokenizer.from_pretrained('gorkemgoknar/gpt2chatbotenglish')
 tokenizer.model_max_length = 1024
 
 
+#See document for experiment https://www.linkedin.com/pulse/ai-goes-job-interview-g%C3%B6rkem-g%C3%B6knar/
+
 def get_chat_response(name, input_txt = "Hello , what is your name?"):
-  personality = "My name is " + "Gandalf"
+  #I trained my dataset with "My name is " as prefix, this will let me dump personalities 
+  #and also gives character sense if of his/her/its name!
+  personality = "My name is " + name
 
+  ##can respond well to history as well but for this quick demo not implemented
+  ##see metayazar.com/chatbot for a min 2 history
   bot_input_ids = tokenizer.encode(personality + tokenizer.eos_token + input_txt + tokenizer.eos_token  , return_tensors='pt')
 
   #optimum response and speed
+  #50 token max length, temperature = 1.3 makes it creative
   chat_history_ids = model.generate(
           bot_input_ids, max_length=50,
           pad_token_id=tokenizer.eos_token_id,