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Update app.py
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app.py
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import os
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tokenizer = AutoTokenizer.from_pretrained("matsant01/STEMerald-2b")
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model = AutoModelForCausalLM.from_pretrained("matsant01/STEMerald-2b")
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from fastapi import FastAPI
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import torch
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import os
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# Set cache directory for Hugging Face Transformers
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os.environ["TRANSFORMERS_CACHE"] = "/home/user/.cache"
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# Load the tokenizer and model
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tokenizer = AutoTokenizer.from_pretrained("matsant01/STEMerald-2b")
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model = AutoModelForCausalLM.from_pretrained("matsant01/STEMerald-2b")
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# Initialize FastAPI app
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app = FastAPI()
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@app.get("/")
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def read_root():
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return {"message": "Welcome to the STEMerald-2b API"}
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#@app.post("/generate/")
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#def generate_text(prompt: str):
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# inputs = tokenizer(prompt, return_tensors="pt")
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# outputs = model.generate(inputs["input_ids"], max_length=50)
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# generated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
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# return {"generated_text": generated_text}
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