Create app.py

app.py

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+
+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_VERSION"] = openai.api_version = "2023-03-15-preview"
+
+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-4-1106-preview",
+    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))
+