Create app/main.py
Browse files- app/main.py +20 -0
app/main.py
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from flask import Flask, request, jsonify
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline
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app = Flask(__name__)
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tokenizer = AutoTokenizer.from_pretrained("unicamp-dl/translation-en-pt-t5")
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model = AutoModelForSeq2SeqLM.from_pretrained("unicamp-dl/translation-en-pt-t5")
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enpt_pipeline = pipeline('text2text-generation', model=model, tokenizer=tokenizer, max_length=512, num_beams=5)
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@app.route('/translate', methods=['POST'])
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def translate():
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content = request.json
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text_to_translate = content['text']
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result = enpt_pipeline(f"translate English to Portuguese: {text_to_translate}")
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return jsonify({"translated_text": result[0]["generated_text"]})
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if __name__ == '__main__':
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app.run(debug=True)
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