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6b26269 33eb293 2d0b7de 6b26269 e5fab6f b10ae43 33eb293 267a387 33eb293 e306d43 33eb293 6cf9502 e306d43 33eb293 6e716bf 33eb293 e5fab6f b0e8ea2 e5fab6f 33eb293 281ffc8 e5fab6f b10ae43 | 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 | import gradio as gr
from openai import OpenAI
import os
from supabase import create_client, Client
url: str = os.environ.get("SUPABASE_URL")
key: str = os.environ.get("SUPABASE_KEY")
supabase: Client = create_client(url, key)
username = os.environ.get("USERNAME")
passwd = os.environ.get("PASSWD")
client = OpenAI(
# defaults to os.environ.get("OPENAI_API_KEY")
)
# set the context
messages = [{"role": "system", "content": "Translate the patent text from Chinese to English."}, {"role": "user", "content": None}]
# get the user inputs
def translate(text_cn):
messages[1]["content"] = text_cn
# messages.append({"role": "user", "content": text_cn})
response = client.chat.completions.create(
model="ft:gpt-3.5-turbo-1106:personal::8urfRayz",
messages=messages,
temperature=0.01,
max_tokens=4096,
top_p=1,
frequency_penalty=0,
presence_penalty=0
)
response = response.choices[0].message.content
# write text data to database
# supabase.table('gradio_text').insert({"text_cn": text_cn, "text_en": response}).execute()
return response
iface = gr.Interface(fn=translate, inputs="text", outputs="text", title="😀 Patent Translate Bot", description="A simple bot for patent translation")
iface.launch(auth=(username, passwd)) |