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86 lines
1.7 KiB
86 lines
1.7 KiB
from gradio_client import Client
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from deep_translator import GoogleTranslator
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def predict(prompt, client, model = "0.1"):
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global iddb
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if model == "0.1":
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result = client.predict(
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prompt,
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"Default",
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api_name="/chat"
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)
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elif model == "0.2":
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result = client.predict(
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prompt,
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0.5, # 'Temperature'
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128, # 'Max new tokens'
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0.8, # 'Top-p (nucleus sampling)'
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1.8, # 'Repetition penalty'
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api_name="/chat"
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)
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return result
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# Detect code
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def iscode(text):
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langs = ['sql','php','js','java','c','cpp','python','go']
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is_code = False
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for i in langs:
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if i + r'\n' in text:
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is_code = True
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break
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spec = ['section .']
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if not is_code:
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for i in spec:
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if i in text:
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is_code = True
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break
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return is_code
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# text IN language IN
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def translate(text, source):
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if source == "ru":
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target = "en"
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elif source == "en":
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target = "ru"
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# Fix code translate
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if '```' in text:
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out = ''
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for i in text.split('```'):
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if iscode(i):
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out += '```' + i + '```'
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else:
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out += GoogleTranslator(source = source, target = target).translate(i)
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else:
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out = GoogleTranslator(source = source, target = target).translate(text)
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return out
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iddb = {}
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def gen(text, id, model):
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global iddb
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if str(id) not in iddb:
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if model == "0.1":
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client = Client("https://afischer1985-ai-interface.hf.space/")
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elif model == "0.2":
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client = Client("https://skier8402-mistral-super-fast.hf.space/")
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iddb[str(id)] = client
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else:
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client = iddb[str(id)]
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prompt = translate(text, "ru")
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success = False
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while not success:
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try:
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predicted = predict(prompt, client, model).replace("</s>", "")
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success = True
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except:
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pass
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fixed = predicted.replace(r'\n', '\n').replace('\\ n', '\n')
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return translate(fixed, "en")
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