neue version

.gitignore

@@ -0,0 +1 @@
+.env

filesearch.py

@@ -1,9 +1,7 @@
 import os
-import openai
+from openai import OpenAI
 from tkinter import simpledialog, Tk, Label, Entry, Button, Text, filedialog
-
+from dotenv import load_dotenv
-# Set your OpenAI API key here
-openai.api_key = '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'
 
 def get_user_input():
     root = None  # No parent window for simplicity
@@ -21,18 +19,20 @@ def list_files(directory):
     return files
 
 def compare_with_openai(content, search_query):
-                    response = openai.Completion.create(
+    client = OpenAI(
-        engine="text-davinci-003",
+        api_key=os.environ.get("OPENAI_API_KEY")
-        prompt=f"Vergleiche den folgenden Text mit der Suchanfrage '{search_query}':\n\n{content[:1000]}...\n\nIst der Text relevant für die Suchanfrage?",
-                        max_tokens=50,
-                        n=1,
-                        stop=None,
-                        temperature=0.5,
     )
-                    return "ja" in response.choices[0].text.lower()
+    chat_completion = client.chat.completions.create(
-
+        messages=[
+            {
+                "role": "user", 
+                "content": f"Vergleiche den folgenden Text mit der Suchanfrage '{search_query}':\n\n{content[:1000]}...\n\nIst der Text relevant für die Suchanfrage?"},
+        ],
+        model="gpt-4o-mini",
+    )
+    return "ja" in chat_completion.choices[0].message.content.lower()
 def search_files():
-    search_query = get_user_input()
+    search_query = query_entry.get()  # Get the search query from the Entry widget
     if not search_query:
         print("No search query provided.")
         return