File size: 1,472 Bytes
90fe813 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 |
'''
This is an example on how to use the API for oobabooga/text-generation-webui.
Make sure to start the web UI with the following flags:
python server.py --model MODEL --listen --no-stream
Optionally, you can also add the --share flag to generate a public gradio URL,
allowing you to use the API remotely.
'''
import requests
# Server address
server = "127.0.0.1"
# Generation parameters
# Reference: https://huggingface.co/docs/transformers/main_classes/text_generation#transformers.GenerationConfig
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,
}
# Input prompt
prompt = "What I would like to say is the following: "
response = requests.post(f"http://{server}:7860/run/textgen", json={
"data": [
prompt,
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'],
]
}).json()
reply = response["data"][0]
print(reply)
|