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load my model
Browse files- __pycache__/app.cpython-310.pyc +0 -0
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__pycache__/app.cpython-310.pyc
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Binary files a/__pycache__/app.cpython-310.pyc and b/__pycache__/app.cpython-310.pyc differ
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app.py
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from flask import Flask, jsonify, request
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from transformers import GPT2Tokenizer, GPT2LMHeadModel
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# Load the fine-tuned model and tokenizer
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model = GPT2LMHeadModel.from_pretrained(model_path)
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def infer_title(input):
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app = Flask(__name__)
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from flask import Flask, jsonify, request
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from transformers import GPT2Tokenizer, GPT2LMHeadModel
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# Load the fine-tuned model and tokenizer
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tokenizer_path = "gpt2"
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model_path = 'hunthinn/movie_title_gpt2'
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tokenizer = GPT2Tokenizer.from_pretrained(tokenizer_path)
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model = GPT2LMHeadModel.from_pretrained(model_path)
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tokenizer.pad_token = tokenizer.eos_token
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def infer_title(input):
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if input:
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input_text = "Q: " + input + " A:"
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input_ids = tokenizer.encode(input_text, return_tensors='pt')
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output = model.generate(input_ids, max_length=50, num_return_sequences=1)
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response = tokenizer.decode(output[0], skip_special_tokens=True)
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response = response.split('A:')
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return response[-1]
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app = Flask(__name__)
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