add function that convert text file to markdown output in terminal

note_chat.py

@@ -0,0 +1,60 @@
+from dotenv import load_dotenv
+import os, sys
+from openai import OpenAI
+import time
+
+load_dotenv()
+
+# initialize then client
+DEEPSEEK_API_KEY = os.getenv("DEEPSEEK_API_KEY")
+DEEPSEEK_API_URL = os.getenv("DEEPSEEK_API_URL")
+MODEL = "deepseek-chat"
+
+client = OpenAI(
+    api_key=DEEPSEEK_API_KEY,
+    base_url=DEEPSEEK_API_URL,
+)
+
+MAX_RETRIES = 3
+RETRY_DELAY = 2  # seconds
+count = 0
+
+system_prompt = "You are a helpful assistant. You can convert text notes to markdown format. These notes are \
+    in Question and Answer format. for example: Create two namespaces and name them ns1 and ns2 \n k create ns ns1 \n \
+    k create ns ns2. where  k create ns ns1 and k create ns ns2 are answers. Sometoimees questions can be more than one line, \
+    and each of Q&A are separated by a empty line. Please make question as header and fomrat ansers in correct markdown format. \
+    Most of the ansers are code snippets. Please only return the markdown content. "
+content = ""
+with open("k8s_day10.txt", "r") as f:	
+    for line in f:
+        content += line
+    
+def chat_with_deepseek(max_retries: int =MAX_RETRIES, retry_delay: int =RETRY_DELAY):
+    count = 0
+    for _ in range(max_retries):
+        try:
+            response = client.chat.completions.create(
+            model=MODEL,
+            messages=[
+                {"role": "system", "content": system_prompt},
+                {"role": "user", "content": f"please covert notes below to markdown format: \n {content} "},
+            ],
+            stream=True,
+            )
+            for chunk in response:
+                text = chunk.choices[0].delta.content
+                if text:
+                    sys.stdout.write(text)
+                    sys.stdout.flush()
+                
+            break
+        except Exception as e:
+            count += 1
+            if count < max_retries:
+                print(f"An error occurre: {e}. Retrying in {retry_delay} seconds...")
+                time.sleep(retry_delay)
+            else:
+                print("Max retries reached. Exiting.")
+                break
+
+chat_with_deepseek()