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alpaca_turbo.py
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alpaca_turbo.py
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#!/bin/python3
"""
▄▄▄· ▄▄▌ ▄▄▄· ▄▄▄· ▄▄· ▄▄▄· ▄▄▄▄▄▄• ▄▌▄▄▄ ▄▄▄▄·
▐█ ▀█ ██• ▐█ ▄█▐█ ▀█ ▐█ ▌▪▐█ ▀█ •██ █▪██▌▀▄ █·▐█ ▀█▪▪
▄█▀▀█ ██▪ ██▀·▄█▀▀█ ██ ▄▄▄█▀▀█ ▐█.▪█▌▐█▌▐▀▀▄ ▐█▀▀█▄ ▄█▀▄
▐█ ▪▐▌▐█▌▐▌▐█▪·•▐█ ▪▐▌▐███▌▐█ ▪▐▌ ▐█▌·▐█▄█▌▐█•█▌██▄▪▐█▐█▌.▐▌
▀ ▀ .▀▀▀ .▀ ▀ ▀ ·▀▀▀ ▀ ▀ ▀▀▀ ▀▀▀ .▀ ▀·▀▀▀▀ ▀█▄▀▪
https;//github.comViperX7/Alpaca-Turbo
"""
import os
import platform
import sys
from helpers.dtype import Conversation, load_all_conversations
from helpers.interaction import Process
from rich import print as eprint
from rich.progress import track
class Assistant:
def __init__(self):
self.DEBUG = "-d" in sys.argv
self.threads = 4
self.top_k = 1000
self.top_p = 0.95
self.temp = 0.2
self.repeat_penalty = 1
self.batch_size = 256
self.seed = 888777
self.n_predict = 200
self.repeat_last_n = 64
# self.history_size = 1500
# self.pre_prompt = " Below are instructions to a smart bot named devil, provide response inteligently to instructions.\n\n"
# self.pre_prompt = " Below are instructions provide best possible response and take into account entire history.\n\n"
self.pre_prompt = " Below is an instruction that describes a task. Write a response that appropriately completes the request."
self.format = "### Instruction:\n\n{instruction}\n\n### Response:\n\n{response}"
# self.pre_prompt = "you are a highly intelligent chatbot named devil and you remember all conversation history."
self.enable_history = False
self.history: list[Conversation] = []
self.end_marker = b"RSTsr"
self.model_idx = 0
self.is_loaded = ""
self.current_state = "Initialised"
self.is_first_request = True
def load_chat(self, id):
"""load chat"""
result = {"can't load generation going on"}
if self.current_state != "generating":
data = load_all_conversations()
print(data)
return data[id]
def remove_all_chat(self):
"""hello world"""
# specify the path of the folder
folder_path = "conversations"
# loop through all files in the folder
r_count = 0
for file_name in os.listdir(folder_path):
# join the folder path and file name
file_path = os.path.join(folder_path, file_name)
# check if the file exists
if os.path.isfile(file_path):
# delete the file
os.remove(file_path)
r_count += 1
print(f"{r_count} deleted successfully")
return f"{r_count} files removed"
def save_chat(self):
"""load chat"""
result = "can't save generation going on"
if self.current_state != "generating":
if self.history:
Conversation.save(self.history)
result = "success"
else:
result = "no conversation to save"
return result
def get_conv_logs(self):
"""conversation logs"""
data = load_all_conversations()
return data
def clear_chat(self):
"""clear current history context"""
result = "can't save generation going on"
if self.current_state != "generating":
self.history = []
result = "success"
return result
def safe_kill(self):
"""kill the bot if not in use"""
if self.current_state == "generating":
return "Can't kill bot busy"
self.process.killx()
self.is_first_request = True
self.current_state = "Initialised"
if self.history:
Conversation.save(self.history)
self.history = []
self.is_loaded = ""
return "killed the bot"
def list_available_models(self, directory_path="models", extension="bin"):
"""Returns a list of file names with the given extension given dir"""
file_list = []
for file in os.listdir(directory_path):
if file.endswith(extension):
file_list.append(os.path.join(directory_path, file))
return file_list
@staticmethod
def get_bin_path():
system_name = platform.system()
if os.path.exists("/main"):
name = "/main"
elif system_name == "Linux":
name = "bin/main"
elif system_name == "Windows":
name = "bin/main.exe"
else:
print("XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX")
print("XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX")
print("XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX")
print("XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX")
print("XXXXXXXXXXXXXXX CHAT BINARY MISSING XXXXXXXXXXXXXXXXX")
print("XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX")
print("XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX")
print("XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX")
print("XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX")
# elif system_name == "Darwin":
# name = "mac"
# elif system_name == "Android":
# return "Android"
# else:
# exit()
return name
@property
def command(self):
command = [
Assistant.get_bin_path(),
# "--color",
"-i",
"--seed",
f"{self.seed}",
"-ins",
"-t",
f"{self.threads}",
"-b",
f"{self.batch_size}",
"--top_k",
f"{self.top_k}",
"--top_p",
f"{self.top_p}",
"--repeat_last_n",
f"{self.repeat_last_n}",
"--repeat_penalty",
f"{self.repeat_penalty}",
"--temp",
f"{self.temp}",
"--n_predict",
f"{self.n_predict}",
"-m",
f"{self.list_available_models()[self.model_idx]}",
# "--interactive-start",
"--interactive-first",
]
return command
def load_model(self):
"""load binary in memory"""
if self.is_loaded:
return (
f"model already loaded {self.list_available_models()[self.model_idx]}"
)
try:
self.process = Process(self.command, timeout=10000)
for _ in range(6):
_ = (
[print("ERRoR" * 20), exit(1)]
if "error" in self.process.readline().decode("utf-8").lower()
else None
)
is_loaded = False
for _ in track(range(100)):
if is_loaded:
continue
ppt = self.process.read(1)
is_loaded = b"d" == ppt
for _ in range(12):
(self.process.readline())
self.process.recvuntil(self.end_marker)
self.current_state = "prompt"
self.is_loaded = self.list_available_models()[self.model_idx]
except Exception as e:
print(e)
self.is_loaded = ""
return f"Failed loading {self.list_available_models()[self.model_idx]}"
return f"loaded successfully {self.list_available_models()[self.model_idx]}"
def unload_model(self):
if self.is_loaded:
self.safe_kill()
self.is_loaded = False
def action(self, command):
"""returns whether a request can be colmpleted or not"""
if command == "generate":
is_possible = self.current_state == "prompt"
if command == "stop":
is_possible = self.current_state == "generating"
return is_possible
def stop_generation(self):
"""Interrupts generation"""
if self.current_state == "generating":
self.current_state = "stoping_generation"
# self.process.send("\003")
self.process.interrupt()
self.current_state = "prompt"
return "Stopped"
return f"failed to stop current status {self.current_state}"
def chatbot(self, prompt: Conversation):
"""Adds history support"""
self.history.append(prompt)
# build history chahe
final_prompt_2_send = []
data2use = self.history if self.enable_history else [self.history[-1]]
for convo in data2use:
for sequence in convo.get_prompt():
final_prompt_2_send.append(sequence)
final_prompt_2_send = "".join(final_prompt_2_send)
if prompt.preprompt:
final_prompt_2_send = [prompt.preprompt, final_prompt_2_send]
self.send_prompts(final_prompt_2_send)
for char in self.stream_generation():
self.history[-1].response += char
yield char
def send_prompts(self, txtblob):
"""send the prompts with bos token"""
eprint(txtblob)
txtblob = txtblob if isinstance(txtblob, list) else [txtblob]
_ = eprint(txtblob) if self.DEBUG else None
if self.action("generate"):
bos = len(txtblob)
self.process.recvuntil("n_inps> ")
self.process.sendline(str(bos))
self.process.recvuntil("n_threads> ")
self.process.sendline(str(self.threads))
self.process.recvuntil("top_k> ")
self.process.sendline(str(self.top_k))
self.process.recvuntil("top_p> ")
self.process.sendline(str(self.top_p))
self.process.recvuntil("temperature> ")
self.process.sendline(str(self.temp))
self.process.recvuntil("repeat_penalty> ")
self.process.sendline(str(self.repeat_penalty))
for txt in txtblob:
lines = txt.split("\n")
lines[-1] = lines[-1] + "@done@"
for line in lines:
self.process.recvuntil(") : ")
self.process.sendline(line)
# print(self.process.readline())
self.current_state = "generating"
else:
print("CRITICAL")
def stream_generation(self):
"""returns a generator that returns the generation"""
buffer = b""
marker_detected = b""
char_old = b""
while self.current_state == "generating":
char = self.process.read(1)
buffer += char # update the buffer
# Detect end of text if detected try to confirm else reset
if char == b"R" or len(marker_detected) > 0:
marker_detected += char
char_old += char
# print("==========")
# print(marker_detected)
# print(self.end_marker[:len(marker_detected)])
if marker_detected in self.end_marker[: len(marker_detected)]:
# print("cont")
continue
marker_detected = b""
if self.end_marker in buffer:
buffer = buffer.replace(self.end_marker, b"")
char_old += char
char_old = char_old.replace(self.end_marker, b"")
self.current_state = "prompt"
yield char_old.decode("utf-8")
# print(f"\nStream Ended {buffer}")
break
try:
# Load the full character cache
char = char_old + char
# print single printable chars
if len(char) == 1 and char[0] <= 0x7E and char[0] >= 0x21:
char = char.decode("utf-8")
char_old = b""
elif len(char) in [4, 6]: # If 4 byte code or handle weird edge cases
char = char.decode("utf-8")
char_old = b""
else:
char_old = char
continue
except UnicodeDecodeError:
char_old = char
continue
# print(char, end="")
yield char
# return buffer
def send_conv(self, preprompt, fmt, prompt):
"""function to simplify interface"""
preprompt = preprompt if preprompt is not None else None
preprompt = self.pre_prompt if self.is_first_request else preprompt
self.is_first_request = False
fmt = self.format if fmt is None else fmt
conv = Conversation(preprompt, fmt, prompt)
resp = self.chatbot(conv)
return resp
@staticmethod
def repl():
"""Repl for my chat bot"""
assistant = Assistant()
assistant.load_model()
assistant.enable_history = False
fmt = assistant.format
# assistant.pre_prompt = ""
preprompt = assistant.pre_prompt
while True:
# print("=====")
prompt = input(">>>>>> ")
preprompt = ""
resp = assistant.send_conv(preprompt, fmt, prompt)
for char in resp:
print(char, end="")
print()
_ = Assistant.repl() if __name__ == "__main__" else None