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Update app.py
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app.py
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@@ -2,18 +2,19 @@ from fastapi import FastAPI
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import torch
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# Skapa FastAPI-instans
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app = FastAPI()
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# Ladda GPT-SW3-126M
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model_name = "AI-Sweden-Models/gpt-sw3-126m"
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# Endpoint för att parsa aritmetiska prompts
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@app.post("/parse")
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async def parse_arithmetic_prompt(prompt: str):
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if not prompt or len(prompt) > 100:
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return {"error": "Ogiltig eller för lång prompt"}
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try:
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messages = [
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@@ -28,7 +29,6 @@ async def parse_arithmetic_prompt(prompt: str):
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except Exception as e:
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return {"error": f"Fel vid parsning: {str(e)}"}
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# Hälsosida för att verifiera att Space körs
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@app.get("/")
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async def root():
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return {"message": "Arithmetic Parser API is running!"}
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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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model_name = "AI-Sweden-Models/gpt-sw3-126m"
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try:
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForCausalLM.from_pretrained(model_name)
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except Exception as e:
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print(f"Error loading model: {str(e)}")
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raise e
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@app.post("/parse")
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async def parse_arithmetic_prompt(prompt: str):
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if not prompt or len(prompt) > 100:
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return {"error": "Ogiltig eller för lång prompt"}
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try:
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messages = [
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except Exception as e:
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return {"error": f"Fel vid parsning: {str(e)}"}
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@app.get("/")
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async def root():
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return {"message": "Arithmetic Parser API is running!"}
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