mirror of
https://github.com/oobabooga/text-generation-webui.git
synced 2024-11-21 23:57:58 +01:00
64 lines
1.6 KiB
Python
64 lines
1.6 KiB
Python
'''
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This is an example on how to use the API for oobabooga/text-generation-webui.
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Make sure to start the web UI with the following flags:
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python server.py --model MODEL --listen --no-stream
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Optionally, you can also add the --share flag to generate a public gradio URL,
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allowing you to use the API remotely.
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'''
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import requests
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# Server address
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server = "127.0.0.1"
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# Generation parameters
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# Reference: https://huggingface.co/docs/transformers/main_classes/text_generation#transformers.GenerationConfig
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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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'encoder_repetition_penalty': 1.0,
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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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'seed': -1,
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}
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# Input prompt
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prompt = "What I would like to say is the following: "
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response = requests.post(f"http://{server}:7860/run/textgen", json={
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"data": [
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prompt,
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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['encoder_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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params['seed'],
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]
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}).json()
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reply = response["data"][0]
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print(reply)
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