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from transformers import GPT2Tokenizer, GPT2LMHeadModel
from flask import Flask, request, jsonify
app = Flask(__name__)
# Load model and tokenizer
tokenizer = GPT2Tokenizer.from_pretrained('gpt2')
model = GPT2LMHeadModel.from_pretrained('gpt2')
@app.route('/predict', methods=['POST'])
def predict():
data = request.json
text = data['text']
# Tokenize and encode the input text
inputs = tokenizer.encode(text, return_tensors='pt')
outputs = model.generate(inputs, max_length=50) # Adjust max_length as needed
# Decode the output tokens to string
text_output = tokenizer.decode(outputs[0], skip_special_tokens=True)
return jsonify({'result': text_output})
if __name__ == '__main__':
app.run(host='0.0.0.0', port=3000)
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