Update app.py

app.py

@@ -1,23 +1,25 @@
-import os
-import gradio as gr
+from flask import Flask, request, jsonify
 from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 
-# Hugging Face cache klasörü
-os.environ["TRANSFORMERS_CACHE"] = "/tmp/hf_cache"
+app = Flask(__name__)
 
 model_id = "memorease/base-t5-v2"
 tokenizer = AutoTokenizer.from_pretrained(model_id, use_fast=False)
 model = AutoModelForSeq2SeqLM.from_pretrained(model_id)
 
-# 🔧 Eğitime uygun olarak instruction sabit ve dahil ediliyor
-def generate(memory):
+@app.route("/ask", methods=["POST"])
+def ask_question():
+    data = request.json
+    memory = data["text"]
+
     instruction = "Generate a question based on the given memory."
     prompt = instruction + " " + memory
+
     inputs = tokenizer(prompt, return_tensors="pt", truncation=True, padding=True)
     outputs = model.generate(**inputs, max_new_tokens=64)
     result = tokenizer.decode(outputs[0], skip_special_tokens=True)
-    return result
 
-# 👤 Sadece kullanıcıdan memory alınır, instruction içerde sabit
-iface = gr.Interface(fn=generate, inputs="text", outputs="text")
-iface.launch(server_name="0.0.0.0", server_port=7860)
+    return jsonify(question=result)
+
+if __name__ == "__main__":
+    app.run(host="0.0.0.0", port=7860)