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import gradio as gr
import requests
import os
HF_URL = "http://localhost:7860/completion" # llama-server inside container
def translate(text, direction):
if direction == "English β Japanese":
prompt = f"Translate to Japanese:\n{text}\nJapanese:"
else:
prompt = f"Translate to English:\n{text}\nEnglish:"
resp = requests.post(
HF_URL,
json={
"prompt": prompt,
"n_predict": 128,
"temperature": 0.1,
"top_p": 0.9,
"repeat_penalty": 1.3,
"stop": ["\n\n","</s>"]
}
)
return resp.json().get("content", "")
with gr.Blocks() as demo:
gr.Markdown("# π¬π§βπ―π΅ English β Japanese Translator (llama.cpp)")
with gr.Row():
with gr.Column():
direction = gr.Radio(["English β Japanese", "Japanese β English"], value="English β Japanese")
input_box = gr.Textbox(label="Input")
output_box = gr.Textbox(label="Translation")
run_btn = gr.Button("Translate")
run_btn.click(fn=translate, inputs=[input_box, direction], outputs=output_box)
demo.launch(server_name="0.0.0.0", server_port=7860) |