app.py

import gradio as gr
import random

from transformers import AutoConfig
from transformers import GPT2Tokenizer, GPT2LMHeadModel

config = AutoConfig.from_pretrained('gorkemgoknar/gpt2chatbotenglish')
model = GPT2LMHeadModel.from_pretrained('gorkemgoknar/gpt2chatbotenglish', config=config)

tokenizer = GPT2Tokenizer.from_pretrained('gorkemgoknar/gpt2chatbotenglish')
tokenizer.model_max_length = 1024

#Dynamic Temperature 
base_temperature = 1.3
dynamic_temperature_range = 0.15

rand_range = random.uniform(-1 * dynamic_temperature_range , dynamic_temperature_range )
temperature = base_temperature  + rand_range

SPECIAL_TOKENS = ["<bos>", "<eos>", "<speaker1>", "<speaker2>", "<pad>"]

#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?"):
  #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

  if input_txt[:-1] != ".":
    #add a dot after sentence to make model understand it more clearly
    input_txt = input_txt + "."
    
  ##can respond well to history as well but for this quick demo not implemented
  ##see metayazar.com/chatbot for a min 2 history
  
  ##this is a multi-speaker model, currently no history, so ending with "<speaker2>" to get response. depends on who starts conversation it can be speaker1
  ##if there is a history depends on who started conversation it should end with <speaker1>
  #historical implementation not implemented in this demo
    bot_input_ids =  tokenizer.encode(tokenizer.bos_token +  personality + "<speaker1>" + 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,min_length =1, max_length=50,
          pad_token_id=tokenizer.eos_token_id,  
          no_repeat_ngram_size=3,       
          do_sample=True, 
          top_k=50, 
          top_p=0.9,
          temperature = temperature 
      )

  out_str = tokenizer.decode(chat_history_ids[:, bot_input_ids.shape[-1]:][0], skip_special_tokens=True)
  return out_str

##you can use anyone from below
'''
| Macleod | Moran | Brenda | Ramirez | Peter Parker | Quentin Beck | Andy 
| Red | Norton | Willard | Chief | Chef | Kilgore | Kurtz | Westley | Buttercup 
| Vizzini | Fezzik | Inigo | Man In Black | Taylor | Zira | Zaius | Cornelius 
| Bud | Lindsey | Hippy | Erin | Ed | George | Donna | Trinity | Agent Smith 
| Morpheus | Neo | Tank | Meryl | Truman | Marlon | Christof | Stromboli | Bumstead 
| Schreber | Walker | Korben | Cornelius | Loc Rhod | Anakin | Obi-Wan | Palpatine 
| Padme | Superman | Luthor | Dude | Walter | Donny | Maude | General | Starkiller 
| Indiana | Willie | Short Round | John | Sarah | Terminator | Miller | Sarge | Reiben 
| Jackson | Upham | Chuckie | Will | Lambeau | Sean | Skylar | Saavik | Spock 
| Kirk | Bones | Khan | Kirk | Spock | Sybok | Scotty | Bourne | Pamela | Abbott 
| Nicky | Marshall | Korshunov | Troy | Vig | Archie Gates | Doc | Interrogator 
| Ellie | Ted | Peter | Drumlin | Joss | Macready | Childs | Nicholas | Conrad 
| Feingold | Christine | Adam | Barbara | Delia | Lydia | Cathy | Charles | Otho 
| Schaefer | Han | Luke | Leia | Threepio | Vader | Yoda | Lando | Elaine | Striker 
| Dr. Rumack | Kramer | David | Saavik | Kirk | Kruge | Holden | Deckard | Rachael 
| Batty | Sebastian | Sam | Frodo | Pippin | Gandalf | Kay | Edwards | Laurel 
| Edgar | Zed | Jay | Malloy | Plissken | Steve Rogers | Tony Stark | Scott Lang 
| Bruce Banner | Bruce | Edward | Two-Face | Batman | Chase | Alfred | Dick 
| Riddler | Din Djarin | Greef Karga | Kuiil | Ig-11 | Cara Dune | Peli Motto 
| Toro Calican | Ripley | Meredith | Dickie | Marge | Peter | Lambert | Kane 
| Dallas | Ripley | Ash | Parker | Threepio | Luke | Leia | Ben | Han | Common Bob 
| Common Alice | Jack | Tyler | Marla | Dana | Stantz | Venkman | Spengler | Louis 
| Fry | Johns | Riddick | Kirk | Decker | Spock | "Ilia | Indy | Belloq | Marion 
| Brother | Allnut | Rose | Qui-Gon | Jar Jar
'''

#some selected ones are in for demo use
personality_choices = ["Gandalf", "Riddick", "Macleod", "Morpheus", "Neo","Spock","Vader","Indy", "Ig-11","Threepio","Tony Stark","Batman","Vizzini"]

examples= ["Gandalf", "What is your name?"]

#History not implemented in this demo, use metayazar.com/chatbot for a movie and character dropdown chat interface
interface = gr.Interface(fn=get_chat_response, inputs=[gr.inputs.Dropdown(personality_choices) ,"text"], outputs="text")


if __name__ == "__main__":
    interface.launch()