Create App.py

App.py

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+from transformers import TFBertForSequenceClassification, BertTokenizer
+from flask import Flask, request, jsonify
+import os
+
+app = Flask(__name__)
+
+# Load model and tokenizer from Hugging Face Hub
+model_name = "Erfan11/Neuracraft"
+model = TFBertForSequenceClassification.from_pretrained(model_name, from_tf=True, use_auth_token="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")
+tokenizer = BertTokenizer.from_pretrained(model_name, use_auth_token="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")
+
+@app.route('/predict', methods=['POST'])
+def predict():
+    data = request.get_json()
+    inputs = tokenizer(data["text"], return_tensors="tf")
+    outputs = model(**inputs)
+    # Process your model's output as needed
+    return jsonify(outputs)
+
+if __name__ == '__main__':
+    app.run(debug=True)