app.py

import gradio as gr
from threading import Thread
import random
import transformers
import torch
import os
import spaces
from TTS.api import TTS
randtxt = ""
print("downloading!")


tts = TTS("tts_models/en/vctk/vits").to('cuda')
modID = "meta-llama/Meta-Llama-3-8B-Instruct"
home=True
modID = "meta-llama/Meta-Llama-3-8B-Instruct"
model = transformers.AutoModelForCausalLM.from_pretrained(modID, device_map="cuda")
tok = transformers.AutoTokenizer.from_pretrained("meta-llama/Meta-Llama-3-8B-Instruct")
llama = transformers.pipeline(
    "text-generation",
    model=model,
    device_map="auto",
    tokenizer=tok
)

@spaces.GPU(duration=90)
def llm(msgs):
    prompt = llama.tokenizer.apply_chat_template(
            msgs, 
            tokenize=False, 
            add_generation_prompt=True
    )

    terminators = [
        llama.tokenizer.eos_token_id,
        llama.tokenizer.convert_tokens_to_ids("<|eot_id|>")
    ]
    outputs = llama(
        prompt,
        max_new_tokens=100,
        eos_token_id=terminators,
        do_sample=True,
        temperature=0.6,
        top_p=0.9,
    )
    return outputs[0]["generated_text"][len(prompt):]#for the 801100128909120989534879th  time remember to transfer changes between test and app.py -_-

def randomize():
    global randtxt
    while True:
        print("generating")
        genTurn()


#llama

def reversechat(chat):
    nchat = []
    nchat.append(chat[0])
    for msg in chat:
        nmsg = msg
        if nmsg["role"] == "user":
            nmsg["role"] = "assistant"
        else:
            nmsg["role"] = "user"
        if msg["role"] != "system":
            nchat.append(nmsg)
    return nchat[1:]

chara = "a"
def genTurn():
    global chara
    global chat
    try:
        if chara == "a":
            msg = llm(chat)
            chat.append({"role": "assistant", "content": msg.removesuffix("<|eot_id|>")})
        else:
            #Arteex
            msg = llm(reversechat(chat))
            chat.append({"role": "user", "content": msg.removesuffix("<|eot_id|>")})
        print(msg)
    except:
        print("this chat is over now :(")
        chara ="a"
        chat = [{"role": "system", "content": "The following is a never-ending chat between Berry and Llama. Berry is the personification of a raspberry. Llama is Berry's best friend. They already know each other well. The chat will not end but may cut to a later date after a chat. They try to use relatively short responses no longer than 5 sentences."},
         {"role": "user", "content": "berry: Good afternoon!"}]




import librosa
import time
with gr.Blocks() as demo:
    chatbot = gr.Chatbot()
    clear = gr.ClearButton([chatbot])
    btn = gr.Button()
    stopbtn = gr.Button("Stop")
    iprompt=""
    stop = 0
    def stp():
        global stop
        stop=1
    stopbtn.click(None, js="window.location.reload()")
    ttsout = gr.Audio(autoplay=True)
    autime = 0
    @spaces.GPU(duration=90)
    def watch(prompt):
            global chara
            global chat
            global autime
            c1= "berry"
            c2= "llama"
            msg1="Good Morning!"
            nmsg = ""
            strt = time.time()
            
            chat = [{"role": "system", "content": "The following is a never-ending chat between Berry and Llama. Berry is the personification of a raspberry. Llama is Berry's best friend. They already know each other well. The chat will not end but may cut to a later date after a chat. They try to use relatively short responses no longer than 5 sentences."}, {"role": "user", "content": "berry: Good Morning!"}]
            for i in prompt:
                if i[0] != None:
                    chat.append({"role": "user", "content": i[0]})
                if i[1] != None:
                    chat.append({"role": "assistant", "content": i[1]})

            #Generate message
            canContinue = True

            try:
                if chara == "a":
                    msg = llm(chat)
                    nmsg = msg
                    
                    chat.append({"role": "assistant", "content": msg.removesuffix("<|eot_id|>")})
                else:
                    #Arteex
                    msg = llm(reversechat(chat))
                    nmsg = msg
                    chat.append({"role": "user", "content": msg.removesuffix("<|eot_id|>")})
                print(msg)
            except Exception as err:
                print("this chat is over now :(   |    ", err)
                chara ="a"
                chat = [{"role": "system", "content": prompt},
                {"role": "user", "content": c2 + ": " + msg1}]
                canContinue = False



            msgsview = []
            for msg in chat:
                if msg["role"] == "system":
                    pass
                else:
                    if not msg["content"].lower().startswith("llama:"):
                        msgsview.append((msg["content"], None))
                    else:
                        msgsview.append((None, msg["content"]))
            if canContinue == True:
                tts.tts_to_file(nmsg.removeprefix("llama: ").removeprefix("berry: ") , speaker="p243")#f243 m241
                time.sleep(time.time() - strt - autime)
                try:
                    autime = librosa.get_duration("output.wav")
                    print("\n\n\n\n\n\n")
                    print(autime)
                    print("\n\n\n\n")
                except:
                    autime = 0
            return msgsview, "output.wav"
    btn.click(watch, [chatbot], [chatbot, ttsout])
    chatbot.change(watch, [chatbot], [chatbot, ttsout])

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