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Runtime error
Runtime error
File size: 1,092 Bytes
fb67692 f2ecfd4 fb67692 f2ecfd4 fb67692 f2ecfd4 fb67692 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 | from flask import Flask, request, jsonify
from transformers import AutoTokenizer, AutoModelForSequenceClassification
import torch
import os
app = Flask(__name__)
# ✅ Fix cache permission issue
os.environ["HF_HOME"] = "/app/hf_cache"
# Load model once at startup
model_name = "ahsamkk/urdu-sentiment-model" # your model name
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForSequenceClassification.from_pretrained(model_name)
@app.route("/predict", methods=["POST"])
def predict():
text = request.json.get("text", "")
inputs = tokenizer(text, return_tensors="pt", truncation=True, padding=True)
outputs = model(**inputs)
probs = torch.nn.functional.softmax(outputs.logits, dim=-1)
label = torch.argmax(probs, dim=1).item()
confidence = probs[0][label].item()
return jsonify({
"label": model.config.id2label[label],
"confidence": confidence
})
@app.route("/", methods=["GET"])
def home():
return {"message": "Urdu Sentiment API is running!"}
if __name__ == "__main__":
app.run(host="0.0.0.0", port=7860)
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