Update app.py

app.py

@@ -14,14 +14,15 @@ from langchain.text_splitter import RecursiveCharacterTextSplitter
 
 def detect_language(text):
     """Detects the language of the input text using OpenAI."""
-    response = openai.ChatCompletion.create(
+    client = openai.OpenAI()
+    response = client.chat.completions.create(
         model="gpt-3.5-turbo",
         messages=[
             {"role": "system", "content": "Detect the language of this text."},
             {"role": "user", "content": text}
         ]
     )
-    return response["choices"][0]["message"]["content"].strip()
+    return response.choices[0].message.content.strip()
 
 # Set up OpenAI API key (replace with your key)
 openai.api_key = "YOUR_OPENAI_API_KEY"
@@ -109,14 +110,15 @@ def combine_text_from_files(extracted_files):
 
 def generate_response(question, text):
     """Uses OpenAI to answer a question based on extracted text."""
-    response = openai.ChatCompletion.create(
+    client = openai.OpenAI()
+    response = client.chat.completions.create(
         model="gpt-3.5-turbo",
         messages=[
             {"role": "system", "content": "You are a data analytics assistant. Answer the question based on the provided document content."},
             {"role": "user", "content": f"{question}\n\nBased on the following document content:\n{text[:3000]}"}  # Limit to 3000 characters to avoid excessive token usage
         ]
     )
-    return response["choices"][0]["message"]["content"].strip()
+    return response.choices[0].message.content.strip()
 
 def chatbot_interface(question):
     folder_path = "New_Data_Analytics/"