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Update app.py
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app.py
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from fastapi import FastAPI
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from transformers import AutoModelForCausalLM, AutoTokenizer
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import torch
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app = FastAPI()
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MODEL_NAME = "fatmata/psybot"
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@app.get("/")
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def home():
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import os
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from fastapi import FastAPI
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from transformers import AutoModelForCausalLM, AutoTokenizer
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import torch
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app = FastAPI()
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# Définir un dossier cache accessible pour éviter les erreurs de permission
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os.environ["TRANSFORMERS_CACHE"] = "/tmp"
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# Charger le modèle et le tokenizer depuis Hugging Face avec cache local
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MODEL_NAME = "fatmata/psybot"
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local_dir = "/app/model" # Dossier pour stocker le modèle
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os.makedirs(local_dir, exist_ok=True)
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tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME, cache_dir=local_dir)
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model = AutoModelForCausalLM.from_pretrained(MODEL_NAME, cache_dir=local_dir, torch_dtype=torch.float32)
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@app.get("/")
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def home():
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