Delete app.py

app.py

@@ -1,35 +0,0 @@
-!pip install fastapi uvicorn transformers torch
-
-from fastapi import FastAPI, HTTPException
-from pydantic import BaseModel
-from transformers import AutoTokenizer, AutoModelForSequenceClassification
-import torch
-
-app = FastAPI()
-
-# Load tokenizer and model once on startup
-tokenizer = AutoTokenizer.from_pretrained("WarTitan2077/Number-Classifier")
-model = AutoModelForSequenceClassification.from_pretrained("WarTitan2077/Number-Classifier")
-model.eval()
-
-class InputNumbers(BaseModel):
-    numbers: list[str]  # expects ["5", "6", "7"] or similar
-
-def predict(numbers):
-    input_text = ", ".join(numbers)
-    inputs = tokenizer(input_text, return_tensors="pt")
-    with torch.no_grad():
-        outputs = model(**inputs)
-    logits = outputs.logits
-    probabilities = torch.softmax(logits, dim=1).tolist()
-    return probabilities
-
-@app.post("/predict")
-async def predict_numbers(data: InputNumbers):
-    if len(data.numbers) != 3:
-        raise HTTPException(status_code=400, detail="Exactly 3 numbers required.")
-    preds = predict(data.numbers)
-    return {"predictions": preds}
-
-
-!uvicorn app:app --reload