''' Contributed by SagsMug. Thank you SagsMug. https://github.com/oobabooga/text-generation-webui/pull/175 ''' import string import random import websockets import json import asyncio 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())