mirror of
https://github.com/oobabooga/text-generation-webui.git
synced 2024-12-25 22:08:53 +01:00
82 lines
2.7 KiB
Python
82 lines
2.7 KiB
Python
import string
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import random
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import websockets
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import json
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import asyncio
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def random_hash():
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letters = string.ascii_lowercase + string.digits
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return ''.join(random.choice(letters) for i in range(9))
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async def run(context):
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server = "127.0.0.1"
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params = {
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'max_new_tokens': 200,
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'do_sample': True,
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'temperature': 0.5,
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'top_p': 0.9,
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'typical_p': 1,
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'repetition_penalty': 1.05,
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'top_k': 0,
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'min_length': 0,
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'no_repeat_ngram_size': 0,
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'num_beams': 1,
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'penalty_alpha': 0,
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'length_penalty': 1,
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'early_stopping': False,
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}
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session = random_hash()
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async with websockets.connect(f"ws://{server}:7860/queue/join") as websocket:
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while content := json.loads(await websocket.recv()):
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#Python3.10 syntax, replace with if elif on older
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match content["msg"]:
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case "send_hash":
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await websocket.send(json.dumps({
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"session_hash": session,
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"fn_index": 7
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}))
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case "estimation":
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pass
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case "send_data":
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await websocket.send(json.dumps({
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"session_hash": session,
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"fn_index": 7,
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"data": [
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context,
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params['max_new_tokens'],
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params['do_sample'],
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params['temperature'],
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params['top_p'],
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params['typical_p'],
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params['repetition_penalty'],
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params['top_k'],
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params['min_length'],
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params['no_repeat_ngram_size'],
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params['num_beams'],
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params['penalty_alpha'],
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params['length_penalty'],
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params['early_stopping'],
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]
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}))
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case "process_starts":
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pass
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case "process_generating" | "process_completed":
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yield content["output"]["data"][0]
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# You can search for your desired end indicator and
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# stop generation by closing the websocket here
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if (content["msg"] == "process_completed"):
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break
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prompt = "What I would like to say is the following: "
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async def get_result():
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async for response in run(prompt):
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# Print intermediate steps
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print(response)
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# Print final result
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print(response)
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asyncio.run(get_result())
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