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moviechatbot-v2

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import os

# we need to compile a OPENBLAS version  for cpu
# Or get it from  https://jllllll.github.io/llama-cpp-python-cuBLAS-wheels/
os.system('CMAKE_ARGS="-DLLAMA_BLAS=ON -DLLAMA_BLAS_VENDOR=OpenBLAS" pip install llama-cpp-python==0.2.11')

import re, requests, json
import gradio as gr
import random
import torch
from itertools import chain
import asyncio
from llama_cpp import Llama
import datetime

from transformers import (
    StoppingCriteriaList,
    MaxLengthCriteria,
)

# Created by 
# https://huggingface.co/gorkemgoknar

#Coqui V1 api render voice, you can also use XTTS
#COQUI_URL="https://app.coqui.ai/api/v2/samples"
COQUI_URL="https://app.coqui.ai/api/v2/samples/xtts"
COQUI_URL_EN="https://app.coqui.ai/api/v2/samples/xtts/render/"
### Warning each sample will consume your credits
COQUI_TOKEN=os.environ.get("COQUI_TOKEN")

PER_RUN_MAX_VOICE=int( os.environ.get("PER_RUN_MAX_VOICE") )
PER_RUN_COUNTER=0
RUN_START_HOUR=datetime.datetime.now().hour

MAX_NEW_TOKENS = 30
GPU_LAYERS = 0
STOP_LIST=["###","##"]

LLAMA_VERBOSE=False



TITLE = "<html> <head> <style> h1 {text-align: center;} </style> </head> <body> <h1> Movie Chatbot - Auto-Chatbot Powered by Coqui.ai XTTS 🐸</b> </body> </html>"

INTRODUCTION_TEXT = "Choose your characters, enter initial text see and hear (🐸) them talk. \
For voice there is per user and hourly limit, copy space and use your Coqui.ai token and voice_ids for your own usage.\
Additional hint, try French, Italian, German, Spanish initial texts."

#stopping_criteria = StoppingCriteriaList([MaxLengthCriteria(max_length=64)])

from huggingface_hub import hf_hub_download
hf_hub_download(repo_id="gorkemgoknar/llama2-7f-moviechatbot-ggml-q4", local_dir=".", filename="llama2-7f-fp16-gguf-q4.bin")
model_path="./llama2-7f-fp16-gguf-q4.bin"

import langid

llm = Llama(model_path=model_path,n_gpu_layers=0, n_ctx=256,n_batch=256,verbose=LLAMA_VERBOSE)

# to use with ctransfomers
#llm = AutoModelForCausalLM.from_pretrained("gorkemgoknar/llama2-7f-moviechatbot-ggml-q4", 
#                                           model_type='llama',
#                                           gpu_layers=GPU_LAYERS,
#                                           max_new_tokens=MAX_NEW_TOKENS, 
#                                           stop=STOP_LIST)







##########################################
#You can use coqui.ai api to generate audio
#first you need to create clone voice for characters

voices = {}
voices["Gerald"]=os.environ.get("VOICE_ID_GERALD") 
voices["Vader"]=os.environ.get("VOICE_ID_VADER") 
voices["Batman"]=os.environ.get("VOICE_ID_BATMAN") 
voices["Gandalf"]=os.environ.get("VOICE_ID_GANDALF") 
voices["Morpheus"]=os.environ.get("VOICE_ID_MORPHEUS") 
voices["Neo"]=os.environ.get("VOICE_ID_NEO") 
voices["Ig-11"]=os.environ.get("VOICE_ID_IG11") 
voices["Tony Stark"]=os.environ.get("VOICE_ID_TONY") 
voices["Kirk"]=os.environ.get("VOICE_ID_KIRK") 
voices["Spock"]=os.environ.get("VOICE_ID_SPOCK") 
voices["Don"]=os.environ.get("VOICE_ID_DON") 
voices["Morgan"]=os.environ.get("VOICE_ID_MORGAN") 
voices["Yoda"]=os.environ.get("VOICE_ID_YODA") 
voices["Ian"]=os.environ.get("VOICE_ID_IAN") 
voices["Thanos"]=os.environ.get("VOICE_ID_THANOS") 



def get_audio_url(text,character):
    url = COQUI_URL
    text_language=langid.classify(text)[0]
    
    supported_languages=["en","de","fr","es","it","pt","pl"]
    if text_language not in supported_languages:
        text_language="en"

    if text_language=="en":
        # use main English model for english, better on english only
        url = COQUI_URL_EN
        
    # voice id of "Baldur Sanjin" from buildin coqui.ai speakers 
    # more via https://docs.coqui.ai/reference/speakers_retrieve
    payload = {
        "voice_id": voices[character], ## Voice id in form of (this is dummy) "a399c204-7040-4f1d-bb92-5223fa1aeceb"
        "text": f"{text}",
        "emotion": "Neutral",  ## You can set Angry, Surprise etc on V1 api.. XTTS auto understands it
        "speed": 1,
        "language": text_language
    }
    headers = {
        "accept": "application/json",
        "content-type": "application/json",
        "authorization": f"Bearer {COQUI_TOKEN}"
    }
    
    response = requests.post(url, json=payload, headers=headers)
    res = json.loads(response.text) 
    print("Character:",character, "text:",text,)
    print("Audio response",res)
    return res["audio_url"]

    
def get_response_cpp(prompt):

    output = llm(prompt, max_tokens=32, stop=["#","sierpeda"], echo=True)
    #print(output)
    response_text= output["choices"][0]["text"]

    return response_text
 
def build_question(character,question,context=None, answer=None,history=None , use_history=False, modify_history=True,human_character=None,add_answer_to_history=True):
    # THIS MODEL (gorkemgoknar/llama2-7f-moviechatbot-ggml-q4) is specifically fined tuned by
    # ### Context: {context}### History: {history}### {human_character}: {question}### {character}: {answer}
    # Where History contains all previous lines talked by characters in order 
    # Context is actually arbitrary it shows something characters can start talking upon

    if context is None:
        context= "movie"
        
    #if human_character is None:
    #    human_character=""
    #else:
    #    human_character="#"+"I am " + human_character +"#"

    if use_history:
        if history is None:
            if answer is None:
                history=""
            else:
                history=answer
        else:
            if modify_history:
                if answer is None:
                    history=history 
                else:
                    if add_answer_to_history:
                        history=history +"#" + answer 
                    else:
                        history=history
            else:
                history=history
        
        if human_character is None:
            prompt = f"### Context: {context}### History: {history}### Human: {question}### {character}:"
        else:
            prompt = f"### Context: {context}### History: {history}### {human_character}: {question}### {character}:"

        
    else:
        if human_character is None:
            prompt = f"### Context: {context}### Human: {question}### {character}:"
        else:
            prompt = f"### Context: {context}### {human_character}: {question}### {character}:"
    return prompt,history



def get_answer_from_response(text,character):

    # on HF it has same text plus additional
    # on llama_cpp same full text
    response= text.split(f"### {character}:")[1]
    # on cpp it continues 
    # response= text
    # get only first line of response
    response= response.split("###")[0]
    response= response.split("#")[0]
    # Weirdly llama2 7f creates some German or Polski on the end... need to crop them
    response= response.split("Unterscheidung")[0] # weird, german seperators on output
    response= response.split("Hinweis")[0] # weird, german seperators on output
    response= response.split("sierp ")[0] # weird, sierp 
    response= response.split("sierpni ")[0] # weird, sierp 
    response= response.split("sierpien")[0] # weird, sierp 
    response= response.split("kwiet")[0] # weird, kwiet 
    response= response.split("\n")[0] # cut at end of line
    response= re.split("sierp.+\d+", response)[0]  # comes as sierpina 2018 something something
    response= re.split("styczen.+\d+", response)[0]  # comes as styczen 2018 something something
    response= re.split("kwierk.+\d+", response)[0]  # comes as kwierk 2018 something something
      
    response= response.split(":")[0]
    if response.startswith('"'):
        response= response[1:]
    if response=="" or response=="...":
        response="Hmm."
    return response

def run_chatter(num_repeat=2, character="kirk",human_character="Mr. Sulu",context="Captain Kirk from U.S.S. Enterprise",
                initial_question="There is a ship approaching captain!",
                withaudio=False,
                history=None,
                add_answer_to_history=True,
                answer=None,
                debug_print=False,
               use_cpu=False):
    
    question=initial_question
        
    dialogue=""

    if debug_print:
        print("**** START Dialogue  ****")
        print("Input History:",history)

    audio_urls=[]
        
    for i in range(num_repeat):
        if question is not None:
            question=question.strip()
        if answer is not None:
            answer=answer.strip()
            
        prompt,history= build_question(character,question,context=context,history=history,answer=answer,human_character=human_character,use_history=True,add_answer_to_history=add_answer_to_history)
        print("PROMPT:",prompt)

        response= get_response_cpp(prompt)
        print("RESPONSE:",response)
        answer = get_answer_from_response(response,character).strip()
        
        if withaudio:
            answer_audio_url = get_audio_url(answer)
            audio_urls.append(answer_audio_url)
        if debug_print:
            print("\nAct:",i+1)
        
        dialogue = dialogue + f"{human_character}: {question}" + "\n"
        if debug_print:
            print(f"{human_character}:",question)
            print(f"{character}:",answer)
            
        dialogue = dialogue + f"{character}: {answer}" + "\n"
        
        if question is not None:
            question=question.strip()
        if answer is not None:
            answer=answer.strip()
            
        prompt,history= build_question(human_character,answer,context=context,history=history,answer=question,human_character=character,use_history=True,add_answer_to_history=add_answer_to_history)
        print("PROMPT:",prompt)
        
        response= get_response_cpp(prompt)
        print("RESPONSE:",response)
        resp_answer = get_answer_from_response(response,human_character)

        if withaudio:
            # No use.. running on main
            response_audio_url = get_audio_url(resp_answer)
            audio_urls.append(response_audio_url)

        if debug_print:
            print(f"{human_character}:",resp_answer)
            
        question = resp_answer
        
        
    if debug_print:              
        print("Final History:",history)
        print("**** END Dialogue  ****")
    if withaudio:
        return dialogue,question,answer,history,audio_urls
    else:
        return dialogue,question,answer,history


######################
# GRADIO PART
######################


# to close on Jupyter remote
#if("interface" in vars()):
#    print("Closing existing interface")
#    interface.close()


css="""
.chatbox {display:flex;flex-direction:column}
.user_msg, .resp_msg {padding:4px;margin-bottom:4px;border-radius:4px;width:80%}
.user_msg {background-color:cornflowerblue;color:white;align-self:start}
.resp_msg {background-color:lightgray;align-self:self-end}
.audio {background-color:cornflowerblue;color:white;align-self:start;height:5em}

"""


def get_per_run_voice_counter(increase=False):
    hour_now = datetime.datetime.now().hour
    global PER_RUN_COUNTER
    global RUN_START_HOUR

    print("Per run check: Hour now:", hour_now, " RUN_START_HOUR:",RUN_START_HOUR," PER_RUN_COUNTER",PER_RUN_COUNTER)
    if hour_now>RUN_START_HOUR:
        #reset hourly voice calls
        print("resetting per run voice calls")
        PER_RUN_COUNTER = 0
        RUN_START_HOUR = hour_now 
    elif increase:
        PER_RUN_COUNTER = PER_RUN_COUNTER + 1
        print("per run voice calls:", PER_RUN_COUNTER)
    print("Per run check: Hour now:", hour_now, " RUN_START_HOUR:",RUN_START_HOUR," PER_RUN_COUNTER",PER_RUN_COUNTER)
    return PER_RUN_COUNTER
    
    
async def add_text(WITH_AUDIO,char1,char2,runs,context,initial_question,history,VOICE_COUNTER):
    print(f"{char1} talks to {char2}")
    
    history = None
    last_question=None
    # todo build a context from dropdown
    returned_history = ""
    unnamed_question="This weird guy did not input anything.. so, tell me a joke!"
    if initial_question is None: 
        initial_question = unnamed_question 
    if initial_question=="":
        initial_question = unnamed_question
    for i in range(int(runs)):
        print("char1:",char1," :", initial_question)
        returned_history += char1 + " : " + initial_question + "\n"
        
        dialogue,last_question,last_answer,history = run_chatter(num_repeat=1, 
                                                     character=char2,
                                                     human_character=char1,
                                                     context=context,
                                                     initial_question=initial_question,
                                                     withaudio=False,
                                                     history=history,
                                                     answer=last_question,
                                                     debug_print=False,
                                                     add_answer_to_history=False
                                                     )
        
        print("char2:",char2," :", last_answer)
        returned_history += char2 + " : " + last_answer + "\n"
        # add last answer to history
        history = history + "#" +initial_question + "#"+ last_answer
        print("WITH_AUDIO",WITH_AUDIO)
        if int(WITH_AUDIO):
            use_voice=True
        else:
            use_voice=False
            
        print("Voice Counter:",VOICE_COUNTER)
        if initial_question=="..." and last_answer=="...":
            use_voice=False
            
        global PER_RUN_MAX_VOICE
        if use_voice:
            global PER_RUN_MAX_VOICE
            can_use_voice=get_per_run_voice_counter()<PER_RUN_MAX_VOICE
            if not can_use_voice:
                print("Voice limit reached for this hour, try again in an hour")
                gr.Warning("Hourly overal voice limit reached, try again in an hour... running without voice.")
                use_voice=False
            
        if use_voice and (VOICE_COUNTER>VOICE_LIMIT):
            print("You have reached voiced limit, try with voice later.. running without voice")
            gr.Warning("You have reached voiced limit.. running without voice")
            use_voice=False

        try:
            if use_voice:
                char1_audio_url= get_audio_url(initial_question,char1)
                VOICE_COUNTER+=1
                get_per_run_voice_counter(increase=True)
                
                char2_audio_url= get_audio_url(last_answer,char2)
                VOICE_COUNTER+=1
                get_per_run_voice_counter(increase=True)
        except:
            gr.Warning("Something wrong with getting audio.. ")
            use_voice=False
            
            
        print("Voice Counter:",VOICE_COUNTER)
        if use_voice:
            audios = (
                gr.Audio.update() ,
                gr.Audio.update() ,
                gr.Audio.update() ,
                gr.Audio.update() ,
                gr.Audio.update() ,
                gr.Audio.update() ,
                gr.Audio.update() ,
                gr.Audio.update() 
            )
        else:
            audios = (
                gr.Audio.update(visible=False) ,
                gr.Audio.update(visible=False) ,
                gr.Audio.update(visible=False) ,
                gr.Audio.update(visible=False) ,
                gr.Audio.update(visible=False) ,
                gr.Audio.update(visible=False) ,
                gr.Audio.update(visible=False) ,
                gr.Audio.update(visible=False) 
            )
        audios = list(audios)
        #should now do a loop
        if use_voice:
            audios[i*2] = gr.Audio.update(char1_audio_url, visible=True,label=str(i*2 )+"_"+char1)
            audios[i*2 + 1] = gr.Audio.update(char2_audio_url, visible=True,label=str(i*2 + 1)+"_"+char2)
        
        audios = tuple(audios)

        #This needs to be last before yield
        initial_question=last_question
    
        yield gr.update(value=initial_question, interactive=True),returned_history, *audios, VOICE_COUNTER

      

    
history=None
#some selected ones are in for demo use  (there are more, get a copy and try it , just do not expect much with this fast finetuned model) 
CHARACTER_1_CHOICES = ["Gandalf","Gerald", "Morpheus", "Neo","Kirk","Spock","Vader","Yoda","Ig-11","Tony Stark","Batman","Thanos"]
CHARACTER_2_CHOICES = ["Gandalf","Gerald", "Morpheus", "Neo","Kirk","Spock","Vader","Yoda","Ig-11","Tony Stark","Batman","Thanos"]


CONTEXT_CHOICES = ["talks friendly",
                   "insults",
                   "diss in rap", 
                   "on a cruise ship going to Mars from Earth",
                   "blames on something",
                   "tries to save the world",
                   "talks agressively",
                   "argues over if a movie is good",
                   "sword insult fighting",
                   "inside a dark cavern"]

EXAMPLE_INITIALS=["I challenge you to battle of words!",
                  "how much would a woodchuck chuck if a woodchuck could chuck wood?",
                  "The world is changing.",
                  "What do you think about AI?",
                  "I went to the supermarket yesterday.",
                  "Who are you?",
                  "I am richer than you!",
                  "Wie geht es dir?",
                  "O que você fez ontem?",
                  "Il fait trop chaud aujourd'hui."]
VOICE_CHOICES=["With Coqui.ai Voice",
               "No voice"]
RUN_COUNT = [2,3,4]

title = "Metayazar - Movie Chatbot Llama Finetuned Voice powered by Coqui.ai"
description = "Auto-chat your favorite movie characters. Voice via Coqui.ai"
article = "<p style='text-align: center'><a href='https://www.linkedin.com/pulse/ai-goes-job-interview-g%C3%B6rkem-g%C3%B6knar/' target='_blank'>AI Goes to Job Interview</a> | <a href='https://www.metayazar.com/' target='_blank'>Metayazar AI Writer</a>  |<a href='https://www.linkedin.com/in/goknar/' target='_blank'>Görkem Göknar</a></p>"


def change_run_count(run_count):
    print("update run count:",run_count)
    visible_audios=[False,False,False,False,False,False,False,False]
    run_count=int(run_count)
    for i in range(run_count*2-1):
        if i>=len(visible_audios):
            break
        visible_audios[i] = False # Set true to become visible upon change
        
    return_list=[]
    #Max audio 8 
    for i in range(8):
        return_list.append( gr.Audio.update( visible=visible_audios[i]) )

    return return_list


def switch_voice(with_voice, WITH_AUDIO,VOICE_COUNTER):
    print("update use voice:",with_voice)
    if (VOICE_COUNTER>VOICE_LIMIT) or (PER_RUN_COUNTER>PER_RUN_MAX_VOICE):
        gr.Warning("Unfortunately voice limit is reached, try again after another time, or use without voice")
        WITH_AUDIO=0
    else:
        if with_voice==VOICE_CHOICES[0]:
            WITH_AUDIO=1
        else:
            WITH_AUDIO=0
            
    return with_voice, WITH_AUDIO 
        
with gr.Blocks(css=css) as interface:
    VOICE_COUNTER=gr.State(value=0)
    WITH_AUDIO=gr.State(value=1)
    VOICE_LIMIT=int( os.environ.get("VOICE_LIMIT")  )
    with gr.Row():
        gr.HTML(TITLE, elem_id="banner")
        gr.Markdown(INTRODUCTION_TEXT, elem_classes="markdown-text")
    
    with gr.Row():
        drop_char1 = gr.components.Dropdown(CHARACTER_1_CHOICES,label="Character 1",value=CHARACTER_1_CHOICES[0])
        drop_char2 = gr.components.Dropdown(CHARACTER_2_CHOICES,label="Character 2",value=CHARACTER_2_CHOICES[1])
        run_count = gr.components.Dropdown(RUN_COUNT,label="Line count per character",value="2") 
    with gr.Row():
        context_choice = gr.components.Dropdown(CONTEXT_CHOICES, label="Context",value=CONTEXT_CHOICES[0])
    with gr.Row():
        with_voice = gr.components.Dropdown(VOICE_CHOICES,label="Voice via Coqui.ai (demo)",value=VOICE_CHOICES[0]) 
    with gr.Row():
        txt = gr.Textbox(
                show_label=False,
                placeholder="Enter text and press enter, or upload an image",
                value=EXAMPLE_INITIALS[0],elem_classes="user_msg"
            )
        submit_btn = gr.Button(value="Submit")
    examples = gr.Examples(examples=EXAMPLE_INITIALS,
                           inputs=[txt])
    with gr.Row():
        with gr.Column():
            history = gr.Textbox(lines=25,
                    show_label=True,
                    label="History",
                    placeholder="History",
                ).style(height=50)

        with gr.Column():
                audio1 = gr.Audio(elem_id="audio1",elem_classes="audio",autoplay=False,visible=False)
                audio2 = gr.Audio(elem_id="audio2",elem_classes="audio",autoplay=False,visible=False)
                audio3 = gr.Audio(elem_id="audio3",elem_classes="audio",autoplay=False,visible=False)
                audio4 = gr.Audio(elem_id="audio4",elem_classes="audio",autoplay=False,visible=False)
                audio5 = gr.Audio(elem_id="audio5",elem_classes="audio",autoplay=False,visible=False)
                audio6 = gr.Audio(elem_id="audio6",elem_classes="audio",autoplay=False,visible=False)
                audio7 = gr.Audio(elem_id="audio7",elem_classes="audio",autoplay=False,visible=False)
                audio8 = gr.Audio(elem_id="audio8",elem_classes="audio",autoplay=False,visible=False)

    with_voice.change(switch_voice,[with_voice,WITH_AUDIO,VOICE_COUNTER],[with_voice,WITH_AUDIO])
    

    run_count.change(change_run_count,[run_count],[audio1,audio2,audio3,audio4,audio5,audio6,audio7,audio8])
    submit_btn.click(add_text, [WITH_AUDIO,drop_char1, drop_char2,run_count, context_choice, txt,history,VOICE_COUNTER], [txt,history,audio1,audio2,audio3,audio4,audio5,audio6,audio7,audio8,VOICE_COUNTER], api_name="chat")
    

interface.queue().launch()