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'''
Contributed by SagsMug. Thank you SagsMug.
https://github.com/oobabooga/text-generation-webui/pull/175
'''
import asyncio
import json
import random
import string
import websockets
def random_hash():
letters = string.ascii_lowercase + string.digits
return ''.join(random.choice(letters) for i in range(9))
async def run(context):
server = "127.0.0.1"
params = {
'max_new_tokens': 200,
'do_sample': True,
'temperature': 0.5,
'top_p': 0.9,
'typical_p': 1,
'repetition_penalty': 1.05,
'top_k': 0,
'min_length': 0,
'no_repeat_ngram_size': 0,
'num_beams': 1,
'penalty_alpha': 0,
'length_penalty': 1,
'early_stopping': False,
}
session = random_hash()
async with websockets.connect(f"ws://{server}:7860/queue/join") as websocket:
while content := json.loads(await websocket.recv()):
#Python3.10 syntax, replace with if elif on older
match content["msg"]:
case "send_hash":
await websocket.send(json.dumps({
"session_hash": session,
"fn_index": 7
}))
case "estimation":
pass
case "send_data":
await websocket.send(json.dumps({
"session_hash": session,
"fn_index": 7,
"data": [
context,
params['max_new_tokens'],
params['do_sample'],
params['temperature'],
params['top_p'],
params['typical_p'],
params['repetition_penalty'],
params['top_k'],
params['min_length'],
params['no_repeat_ngram_size'],
params['num_beams'],
params['penalty_alpha'],
params['length_penalty'],
params['early_stopping'],
]
}))
case "process_starts":
pass
case "process_generating" | "process_completed":
yield content["output"]["data"][0]
# You can search for your desired end indicator and
# stop generation by closing the websocket here
if (content["msg"] == "process_completed"):
break
prompt = "What I would like to say is the following: "
async def get_result():
async for response in run(prompt):
# Print intermediate steps
print(response)
# Print final result
print(response)
asyncio.run(get_result())
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