diff --git a/main.py b/main.py
index c0a6d6a..b2795c2 100644
--- a/main.py
+++ b/main.py
@@ -10,6 +10,7 @@ import hazm
 from cleantext import clean
 import re
 from pydantic import BaseModel
+from fastapi.middleware.cors import CORSMiddleware
 
 start_time = datetime.datetime.now()
 print('start: ' + str(start_time))
@@ -211,13 +212,19 @@ You are given the extracted parts of a long document and a question. Provide a c
 If you don't know the answer, just say "I do not know." Don't make up an answer.لطفا جواب فارسی باشد"""
 
 
-def format_prompt(prompt, retrieved_documents, k) -> str:
+def format_prompt_0(prompt, retrieved_documents, k) -> str:
   """using the retrieved documents we will prompt the model to generate our responses"""
   PROMPT = f"Question:{prompt}\nContext:"
   for idx in range(k) :
     PROMPT+= f"{retrieved_documents[idx]}\n"
   return PROMPT
 
+def format_prompt(prompt, text) -> str:
+  """using the retrieved documents we will prompt the model to generate our responses"""
+  PROMPT = f"Question:{prompt}\nContext:"
+  PROMPT+= f"{text}\n"
+  return PROMPT
+
 def generate(formatted_prompt):
   formatted_prompt = formatted_prompt[:2000] # to avoid GPU OOM
   messages = [{"role":"system","content":SYS_PROMPT},{"role":"user","content":formatted_prompt}]
@@ -240,23 +247,34 @@ def generate(formatted_prompt):
 
 def rag_chatbot(prompt:str,k:int=2):
   scores , retrieved_documents = search(prompt, k)
-  formatted_prompt = format_prompt(prompt,retrieved_documents,k)
+  formatted_prompt = format_prompt_0(prompt,retrieved_documents,k)
   for item in retrieved_documents['id']:
       print('https://majles.tavasi.ir/entity/detail/view/qsection/' + item)
   return generate(formatted_prompt)
 #result = rag_chatbot("نوبت کاری شبانه برای مادران باردار و مادران دارای فرزند شیرخوار به چه صورت است؟", k = 5)
 
 class TextList(BaseModel):
-    text: list[str]
+    query: str
+    text: str
     
 app = FastAPI()
-@app.post("/rag_chat/")
-async def rag_chat(prompt: str, input_texts: TextList):
+
+# origins = ['*']
+
+# app.add_middleware(
+#     CORSMiddleware,
+#     allow_origins=origins,
+#     allow_credentials=True,
+#     allow_methods=["*"],
+#     allow_headers=["*"],
+# )
+
+
+@app.post("/rag_chat")
+async def rag_chat(input: TextList):
 
     try:
-        input_texts= []
-        prompt = ''
-        formatted_prompt = format_prompt(prompt, input_texts,len(input_texts))
+        formatted_prompt = format_prompt(input.query, input.text)
     except Exception as e:
         return {"status": "error", "message": str(e)}