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app.py

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+from flask import  Flask, request, jsonify
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+app = Flask(__name__)
+
+tokenizer = AutoTokenizer.from_pretrained("microsoft/phi-2")
+model = AutoModelForCausalLM.from_pretrained("microsoft/phi-2")
+@app.route('/chat', methods=['POST'])
+def chat():
+    data = request.get_json()
+    prompt = data.get("prompt", "")
+
+    inputs = tokenizer(prompt, return_tensors="pt")
+    outputs = model.generate(**inputs, max_new_tokens=100)
+    reply = tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+    return jsonify({"response": reply})
+
+
+if __name__ == "__main__":
+    app.run(host="0.0.0.0", port=7860)
+