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# -*- coding: utf-8 -*-
"""translation.ipynb
Automatically generated by Colab.
Original file is located at
https://colab.research.google.com/drive/1bKzjrfpxJqSrJQUuGR27-kRCSndSClBo
"""
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
import gradio as gr
device = "cuda" if torch.cuda.is_available() else "cpu"
language_model_name = "Qwen/Qwen2-1.5B-Instruct"
language_model = AutoModelForCausalLM.from_pretrained(
language_model_name,
torch_dtype="auto",
device_map="auto"
)
tokenizer = AutoTokenizer.from_pretrained(language_model_name)
def process_input(input_text, action):
if action == "Translate to Japanese":
prompt = f"Please translate the following English text into Japanese: {input_text}"
lang = "ja"
elif action == "Translate to English":
prompt = f"Please translate the following Japanese text into English: {input_text}"
lang = "en"
else:
return "Invalid action. Please choose 'Translate to English' or 'Translate to Japanese'.", "error"
messages = [
{"role": "system", "content": "You are a helpful AI assistant for Language Translation."},
{"role": "user", "content": prompt}
]
text = tokenizer.apply_chat_template(
messages,
tokenize=False,
add_generation_prompt=True
)
model_inputs = tokenizer([text], return_tensors="pt").to(device)
generated_ids = language_model.generate(
model_inputs.input_ids,
max_new_tokens=512
)
generated_ids = [
output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)
]
output_text = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
return output_text, lang
def handle_interaction(input_text, action):
output_text, lang = process_input(input_text, action)
return output_text
action_options = ["Translate to English", "Translate to Japanese"]
iface = gr.Interface(
fn=handle_interaction,
inputs=[
gr.Textbox(label="input text"),
gr.Dropdown(action_options, label="select action")
],
outputs=[
gr.Textbox(label="output text"),
],
title="Translation App using AI",
description="Translate input text based on the selected Language.",
theme= "gradio/soft"
)
if __name__ == "__main__":
iface.launch(share=True)
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