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Update app.py
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app.py
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@@ -1,20 +1,27 @@
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from fastapi import FastAPI, Query
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import torch
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app = FastAPI()
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#
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tokenizer = AutoTokenizer.from_pretrained("deepseek-ai/deepseek-llm-7b-base")
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model = AutoModelForCausalLM.from_pretrained(
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"deepseek-ai/deepseek-llm-7b-base",
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torch_dtype=torch.float16,
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device_map="auto"
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)
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@app.get("/")
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def home():
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return {
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@app.get("/ask")
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def ask(prompt: str = Query(..., description="Your input prompt")):
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from fastapi import FastAPI, Query
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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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app = FastAPI()
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# Create offload folder if not exists
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os.makedirs("./offload", exist_ok=True)
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# Load tokenizer and model with offload_folder to prevent device_map error
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tokenizer = AutoTokenizer.from_pretrained("deepseek-ai/deepseek-llm-7b-base")
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model = AutoModelForCausalLM.from_pretrained(
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"deepseek-ai/deepseek-llm-7b-base",
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torch_dtype=torch.float16,
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device_map="auto",
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offload_folder="./offload"
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)
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@app.get("/")
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def home():
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return {
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"message": "✅ DeepSeek LLM is running. Use endpoint /ask?prompt=your+question"
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}
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@app.get("/ask")
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def ask(prompt: str = Query(..., description="Your input prompt")):
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