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from os import name
import gradio as gr
from transformers import pipeline
# Load profiles once at module level
with open('Profiles/Python Translator.txt', 'r') as f:
python_profile = f.read()
def greet(input_text):
pipe = pipeline("text-generation", model="moonshotai/Kimi-K2-Thinking", trust_remote_code=True)
messages = [
{"role": python_profile, "content": input_text},
]
pipe(messages)
return pipe[0]['generated_text']
demo = gr.Interface(fn=greet, inputs="text", outputs="text")
demo.launch() |