app.py

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.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 
    completion = openai.ChatCompletion.create(
    engine="gpt-4",
    messages = message_text,
    temperature=0,
    max_tokens=4000,
    top_p=0.95,
    frequency_penalty=0,
    presence_penalty=0,
    stop=None
    )
    return(completion.choices[0].message.content)

st.title("Joe's Translation Demo")

file = st.file_uploader("Upload a file", type=["docx"])
language = st.text_input("Enter the language you want to translate to", "Spanish")
if st.button("Translate"):
    if file is not None:
        file_details = {"FileName":file.name,"FileType":file.type,"FileSize":file.size}
        # st.write(file_details)
        text = docx2txt.process(file)
        with st.spinner('Translating...'):
            st.write(translate(text, language))