Update app.py

app.py

@@ -1,17 +1,25 @@
-
 import streamlit as st
 import docx2txt
 import openai
 import os
 
 os.environ["OPENAI_API_BASE"] = openai.api_type = "azure"
-os.environ["OPENAI_API_KEY"] = openai.api_key = os.environ["OPENAI_API_KEY"]
-os.environ["OPENAI_API_BASE"] = openai.api_base = os.environ["OPENAI_API_BASE"]
+os.environ["OPENAI_API_KEY"] = openai.api_key = os.environ.get("OPENAI_API_KEY")
+os.environ["OPENAI_API_BASE"] = openai.api_base = "https://seansworkspace-aoai.openai.azure.com/"
 os.environ["OPENAI_API_VERSION"] = openai.api_version = "2023-03-15-preview"
 
+# os.environ["OPENAI_API_BASE"] = openai.api_type = "azure"
+# os.environ["OPENAI_API_KEY"] = openai.api_key = os.environ["OPENAI_API_KEY"]
+# os.environ["OPENAI_API_BASE"] = openai.api_base = os.environ["OPENAI_API_BASE"]
+# os.environ["OPENAI_API_VERSION"] = openai.api_version = "2023-03-15-preview"
+# # Sample prompt for the AI
+
+
+
+
 def translate(text, language):
     message_text = [{"role":"system","content":f"You are an AI translator that translates documents to {language}. Do not put anything before or after the text you want to translate. Just return the translated text. At the end of your translation generate a table of important information that could be helpful for quick identification by a human (this section should be in english).: \n \n Text to Translate: {text}"}]
-    # Create a completion request to Azure OpenAI
+    # Create a completion request to Azure OpenAI 
     completion = openai.ChatCompletion.create(
     engine="gpt-4",
     messages = message_text,