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Add simple translation app
Browse files- README.md +3 -3
- app.py +34 -0
- requirements.txt +3 -0
README.md
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---
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title: Ancient Text Generation
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emoji:
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sdk: gradio
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sdk_version: 3.47.1
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app_file: app.py
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---
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title: Ancient Text Generation
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emoji: 📜
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colorFrom: indigo
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colorTo: gray
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sdk: gradio
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sdk_version: 3.47.1
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app_file: app.py
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app.py
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import gradio as gr
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from transformers import pipeline, AutoTokenizer, AutoModelForSeq2SeqLM
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import os
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AUTH_TOKEN = os.environ.get("TOKEN")
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model = AutoModelForSeq2SeqLM.from_pretrained('bowphs/ancient-t5-translation', use_auth_token=AUTH_TOKEN)
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tokenizer = AutoTokenizer.from_pretrained('bowphs/ancient-t5-translation', use_auth_token=AUTH_TOKEN)
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generator = pipeline('text2text-generation', model=model, tokenizer=tokenizer)
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def generate(text, generation_args):
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arguments = {}
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if generation_args:
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pairs = generation_args.split(",")
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for pair in pairs:
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key, value = pair.strip().split('=')
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arguments[key] = eval(value)
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result = generator(text, max_length=30, num_return_sequences=1, **arguments)
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return result[0]["generated_text"]
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examples = [
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["translate english to latin: and he took the sword and killed the man."],
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["translate english to latin: and he took the sword and killed the man."],
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]
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demo = gr.Interface(
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fn=generate,
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inputs=[gr.components.Textbox(value="translate greek to english: ὁ ἄνθρωπος τὸν οἶνον πίνειν ἐθέλων τὸν κρατῆρα ἔλαβεν.", label="Input Text"), gr.components.Textbox(value="do_sample=False, num_beams=3", label="Generation Parameters")],
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outputs=gr.components.Textbox(value="the man took the bowl with the intention of drinking wine.", label="Generated Text"),
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examples=examples
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)
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demo.launch()
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requirements.txt
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transformers==4.34.0
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torch==2.1.0
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gradio==3.47.1
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