# The MIT License # Copyright (c) 2025 Albert Murienne # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. import spaces import torch import gradio as gr from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline device = "cuda" if torch.cuda.is_available() else "cpu" print(f"current device is: {device}") fw_modelcard = "amurienne/gallek-m2m100" bw_modelcard = "amurienne/kellag-m2m100" fw_model = AutoModelForSeq2SeqLM.from_pretrained(fw_modelcard) fw_tokenizer = AutoTokenizer.from_pretrained(fw_modelcard) fw_translation_pipeline = pipeline("translation", model=fw_model, tokenizer=fw_tokenizer, src_lang='fr', tgt_lang='br', max_length=400, device=device) bw_model = AutoModelForSeq2SeqLM.from_pretrained(bw_modelcard) bw_tokenizer = AutoTokenizer.from_pretrained(bw_modelcard) bw_translation_pipeline = pipeline("translation", model=bw_model, tokenizer=bw_tokenizer, src_lang='br', tgt_lang='fr', max_length=400, device=device) # translation function @spaces.GPU def translate(text, direction): if direction == "fr_to_br": return fw_translation_pipeline("traduis de français en breton: " + text)[0]['translation_text'] else: return bw_translation_pipeline("treiñ eus ar galleg d'ar brezhoneg: " + text)[0]['translation_text'] # function to switch translation direction def switch_direction(direction): return "br_to_fr" if direction == "fr_to_br" else "fr_to_br" # function to update labels dynamically def update_labels(direction, input_text, output_text): if direction == "br_to_fr": return gr.Textbox(output_text, label="Breton"), gr.Textbox(input_text, label="French") else: return gr.Textbox(output_text, label="French"), gr.Textbox(input_text, label="Breton") with gr.Blocks(theme=gr.themes.Soft()) as demo: gr.Markdown("# Gallek French ↔️ Breton Translation Demo\nPart of the [GweLLM](https://github.com/blackccpie/GweLLM) project") direction = gr.State("fr_to_br") # default direction is French to Breton input_text = gr.Textbox(label="French") output_text = gr.Textbox(label="Breton") with gr.Row(): translate_btn = gr.Button("Translate", variant='primary', scale=2) switch_btn = gr.Button("Switch Direction 🔃", variant='secondary', scale=1) # translation logic translate_btn.click(translate, [input_text, direction], output_text) # switch direction logic switch_btn.click(switch_direction, direction, direction).then( update_labels, [direction, input_text, output_text], [input_text, output_text] ) demo.launch()