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''' | |
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) | |