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62a4b51
1
Parent(s):
d934794
Update main.py
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main.py
CHANGED
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from fastapi import FastAPI
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from fastapi.staticfiles import StaticFiles
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from fastapi.responses import FileResponse
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from transformers import pipeline
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app = FastAPI()
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@app.get("/infer_t5")
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def t5(input):
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from fastapi import FastAPI
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from fastapi.staticfiles import StaticFiles
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from fastapi.responses import FileResponse
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from transformers import T5Tokenizer, T5ForCausalLM, Trainer, TrainingArguments
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app = FastAPI()
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# Initialize the tokenizer and model
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tokenizer = T5Tokenizer.from_pretrained("t5-base")
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model = T5ForCausalLM.from_pretrained("t5-base")
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with open("cyberpunk_lore.txt", "r") as f:
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dataset = f.read()
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# Tokenize the dataset
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input_ids = tokenizer.batch_encode_plus(dataset, return_tensors="pt")["input_ids"]
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# Set up training arguments
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training_args = TrainingArguments(
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output_dir='./results',
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overwrite_output_dir=True,
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num_train_epochs=5,
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per_device_train_batch_size=1,
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save_steps=10_000,
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save_total_limit=2,
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)
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# Create a Trainer
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trainer = Trainer(
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model=model,
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args=training_args,
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train_dataset=input_ids,
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eval_dataset=input_ids
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)
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# Fine-tune the model
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trainer.train()
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# Create the inference pipeline
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pipe_flan = pipeline("text2text-generation", model=model)
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@app.get("/infer_t5")
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def t5(input):
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