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| import gradio as gr | |
| from transformers import pipeline | |
| from model import * | |
| model = build_transformer(2000, 2500, 200, 200) | |
| translator = pipeline('translation_en_to_fr') | |
| def translate(text): | |
| result = translator(text)[0]['translation_text'] | |
| return result | |
| examples = [ | |
| "Hi, How are you?", | |
| "I don't understand.", | |
| "I am sorry." | |
| ] | |
| demo = gr.Interface( | |
| fn = translate, | |
| inputs = [ | |
| gr.Textbox(label = "Enter Sentence") | |
| ], | |
| outputs = [ | |
| gr.Textbox(label="Translated Text") | |
| ], | |
| examples = examples, | |
| cache_examples = True | |
| ) | |
| demo.launch() |