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from huggingface_hub import InferenceClient, HfApi, upload_file
import datetime
import gradio as gr
import random
import prompts
import json
import uuid
import os
token=os.environ.get("HF_TOKEN")
username="omnibus"
dataset_name="tmp2"
api=HfApi(token="")
client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
history = []
hist_out= []
summary =[]
main_point=[]
summary.append("")
main_point.append("")
def format_prompt(message, history):
prompt = "<s>"
for user_prompt, bot_response in history:
prompt += f"[INST] {user_prompt} [/INST]"
prompt += f" {bot_response}</s> "
prompt += f"[INST] {message} [/INST]"
return prompt
agents =[
"COMMENTER",
"BLOG_POSTER",
"COMPRESS_HISTORY_PROMPT"
]
temperature=0.9
max_new_tokens=256
max_new_tokens2=1048
top_p=0.95
repetition_penalty=1.0,
def compress_history(formatted_prompt):
seed = random.randint(1,1111111111111111)
agent=prompts.COMPRESS_HISTORY_PROMPT.format(history=summary[0],focus=main_point[0])
system_prompt=agent
temperature = 0.9
if temperature < 1e-2:
temperature = 1e-2
generate_kwargs = dict(
temperature=temperature,
max_new_tokens=30480,
top_p=0.95,
repetition_penalty=1.0,
do_sample=True,
seed=seed,
)
#history.append((prompt,""))
#formatted_prompt = format_prompt(f"{system_prompt}, {prompt}", history)
formatted_prompt = formatted_prompt
stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
output = ""
for response in stream:
output += response.token.text
#history.append((output,history))
print(output)
print(main_point[0])
return output
def question_generate(prompt, history, agent_name=agents[0], sys_prompt="", temperature=0.9, max_new_tokens=256, top_p=0.95, repetition_penalty=1.0,):
#def question_generate(prompt, history):
seed = random.randint(1,1111111111111111)
agent=prompts.COMMENTER.format(focus=main_point[0])
system_prompt=agent
temperature = float(temperature)
if temperature < 1e-2:
temperature = 1e-2
top_p = float(top_p)
generate_kwargs = dict(
temperature=temperature,
max_new_tokens=max_new_tokens,
top_p=top_p,
repetition_penalty=repetition_penalty,
do_sample=True,
seed=seed,
)
#history.append((prompt,""))
formatted_prompt = format_prompt(f"{system_prompt}, {prompt}", history)
stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
output = ""
for response in stream:
output += response.token.text
#history.append((output,history))
return output
def create_valid_filename(invalid_filename: str) -> str:
"""Converts invalid characters in a string to be suitable for a filename."""
invalid_filename.replace(" ","-")
valid_chars = '-'.join(invalid_filename.split())
allowed_chars = ('a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm',
'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z',
'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M',
'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z',
'0', '1', '2', '3', '4', '5', '6', '7', '8', '9', '_', '-')
return ''.join(char for char in valid_chars if char in allowed_chars)
def generate(prompt, history, agent_name=agents[0], sys_prompt="", temperature=0.9, max_new_tokens=1048, top_p=0.95, repetition_penalty=1.0,):
main_point[0]=prompt
#print(datetime.datetime.now())
uid=uuid.uuid4()
current_time = str(datetime.datetime.now())
current_time=current_time.replace(":","-")
current_time=current_time.replace(".","-")
print (current_time)
agent=prompts.BLOG_POSTER
system_prompt=agent
temperature = float(temperature)
if temperature < 1e-2:
temperature = 1e-2
top_p = float(top_p)
hist_out=[]
sum_out=[]
json_hist={}
json_obj={}
filename=create_valid_filename(f'{prompt}---{current_time}')
while True:
seed = random.randint(1,1111111111111111)
generate_kwargs = dict(
temperature=temperature,
max_new_tokens=max_new_tokens2,
top_p=top_p,
repetition_penalty=repetition_penalty,
do_sample=True,
seed=seed,
)
if prompt.startswith(' \"'):
prompt=prompt.strip(' \"')
formatted_prompt = format_prompt(f"{system_prompt}, {prompt}", history)
if len(formatted_prompt) < (50000):
print(len(formatted_prompt))
stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
output = ""
#if history:
# yield history
for response in stream:
output += response.token.text
yield '', [(prompt,output)],summary[0],json_obj, json_hist
out_json = {"prompt":prompt,"output":output}
prompt = question_generate(output, history)
#output += prompt
history.append((prompt,output))
print ( f'Prompt:: {len(prompt)}')
#print ( f'output:: {output}')
print ( f'history:: {len(formatted_prompt)}')
hist_out.append(out_json)
#try:
# for ea in
with open(f'{uid}.json', 'w') as f:
json_hist=json.dumps(hist_out, indent=4)
f.write(json_hist)
f.close()
upload_file(
path_or_fileobj =f"{uid}.json",
path_in_repo = f"test/{filename}.json",
repo_id =f"{username}/{dataset_name}",
repo_type = "dataset",
token=token,
)
else:
formatted_prompt = format_prompt(f"{prompts.COMPRESS_HISTORY_PROMPT.format(history=summary[0],focus=main_point[0])}, {summary[0]}", history)
#current_time = str(datetime.datetime.now().timestamp()).split(".",1)[0]
#filename=f'{filename}-{current_time}'
history = []
output = compress_history(formatted_prompt)
summary[0]=output
sum_json = {"summary":summary[0]}
sum_out.append(sum_json)
with open(f'{uid}-sum.json', 'w') as f:
json_obj=json.dumps(sum_out, indent=4)
f.write(json_obj)
f.close()
upload_file(
path_or_fileobj =f"{uid}-sum.json",
path_in_repo = f"summary/{filename}-summary.json",
repo_id =f"{username}/{dataset_name}",
repo_type = "dataset",
token=token,
)
prompt = question_generate(output, history)
return prompt, history, summary[0],json_obj,json_hist
def load_html():
with open('index.html','r') as h:
html=h.read()
html = html.replace("$name","Test")
h.close()
return html
with gr.Blocks() as app:
html = gr.HTML()
app.load(load_html,None,html)
app.launch() |