Add initial code

.gitignore

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+.vscode

app.py

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+import streamlit as st
+import requests
+
+from azure.storage.blob import BlobServiceClient
+from azure.core.credentials import AzureKeyCredential
+from azure.ai.translation.document import DocumentTranslationClient
+
+# Translator AI 
+AZURE_AI_TRANSLATOR_KEY = "26JrNtz5HvXYJ7zTL1MkmuRjTkAJ4EXx2gsHp6rj8pV9VIb4Q6TTJQQJ99AKACqBBLyXJ3w3AAAbACOGFu5N"
+AZURE_AI_ENDPOINT_URL = "https://cbd-translation.cognitiveservices.azure.com/"
+AZURE_AI_API_VERSION = "2024-05-01"
+
+# Streamlit UI
+st.title("Azure Translation Tools")
+uploaded_file = st.file_uploader("Upload a file to start the process")
+
+# Language options
+langs = (
+    'id - Indonesian',
+    'en - English',
+    'es - Spanish',
+    'zh - Chinese',
+    'ar - Arabic',
+    'fr - French',
+    'ru - Russian',
+    'hi - Hindi',
+    'pt - Portuguese',
+    'de - German',
+    'ms - Malay',
+    'ta - Tamil',
+    'ko - Korean',
+    'th - Thai',
+)
+
+lang = st.selectbox('Target language selection:', langs, key='lang')
+lang_id = lang.split()[0]
+lang_name = lang.split()[-1]
+
+if uploaded_file:
+    submit = st.button("Get Result", key='submit')
+
+if uploaded_file and submit:
+    file_name = uploaded_file.name
+    file_content = uploaded_file.read()
+
+    #TODO: filter which type of files that need batch translation, otherwise just use synchronous translation directly
+
+    # Define headers and files
+    headers = {
+        "Ocp-Apim-Subscription-Key": AZURE_AI_TRANSLATOR_KEY,
+    }
+
+    files = {
+        "document": (file_name, file_content, "ContentType/file-extension"),
+    }
+
+    # Make the POST request
+    url = f"{AZURE_AI_ENDPOINT_URL}/translator/document:translate?targetLanguage={lang_id}&api-version={AZURE_AI_API_VERSION}"
+    response = requests.post(url, headers=headers, files=files)
+    if response.status_code == 200:
+        st.success("Translation completed successfully.")
+    else:
+        st.error(f"Failed with status code {response.status_code}: {response.text}")
+
+    # Allow user to download the file
+    st.download_button(
+        label="Download the Processed File",
+        data=response.content,
+        file_name=f"{lang_name}-translated-{file_name}",
+        mime="application/octet-stream"
+    )

old-app.py

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+import streamlit as st
+
+from azure.storage.blob import BlobServiceClient
+from azure.core.credentials import AzureKeyCredential
+from azure.ai.translation.document import DocumentTranslationClient
+
+# Azure Blob Storage connection strings
+STORAGE_CONNECTION_STRING = 'DefaultEndpointsProtocol=https;AccountName=cbdtranslation;AccountKey=V4CBDnn6UH8PlybYGAbLUxejErCnDdxJWWcbMeM+HJB8S/zYDof/8EWAtG6latsG12fR2Q9NVf4l+ASt4ohA4g==;EndpointSuffix=core.windows.net'
+
+# Container names
+FIRST_CONTAINER_NAME = "source"
+SECOND_CONTAINER_NAME = "target"
+
+# Translator AI 
+AZURE_AI_TRANSLATOR_KEY = "26JrNtz5HvXYJ7zTL1MkmuRjTkAJ4EXx2gsHp6rj8pV9VIb4Q6TTJQQJ99AKACqBBLyXJ3w3AAAbACOGFu5N"
+AZURE_AI_ENDPOINT_URL = "https://cbd-translation.cognitiveservices.azure.com/"
+
+# Initialize Azure Blob Service Clients
+blob_service_client = BlobServiceClient.from_connection_string(STORAGE_CONNECTION_STRING)
+
+# Function to upload file to Azure Storage
+def upload_to_azure(blob_service_client, container_name, file, file_name):
+    container_client = blob_service_client.get_container_client(container_name)
+    container_client.upload_blob(name=file_name, data=file, overwrite=True)
+
+# Function to download file from Azure Storage
+def download_from_azure(blob_service_client, container_name, file_name):
+    container_client = blob_service_client.get_container_client(container_name)
+    blob_client = container_client.get_blob_client(blob=file_name)
+    file_content = blob_client.download_blob().readall()
+    return file_content
+
+# Function to delete file from Azure Storage
+def delete_from_azure(blob_service_client, container_name, file_name):
+    container_client = blob_service_client.get_container_client(container_name)
+    blob_client = container_client.get_blob_client(blob=file_name)
+    blob_client.delete_blob()
+
+key = AZURE_AI_TRANSLATOR_KEY
+endpoint = AZURE_AI_ENDPOINT_URL
+
+sourceUri = "https://cbdtranslation.blob.core.windows.net/source"
+targetUri = "https://cbdtranslation.blob.core.windows.net/target"
+
+# Initialize a new instance of the DocumentTranslationClient
+client = DocumentTranslationClient(endpoint, AzureKeyCredential(key))
+
+def translate(lang_id, lang_name):
+    poller = client.begin_translation(sourceUri, targetUri, lang_id)
+    result = poller.result()
+    st.write(
+        'Total documents: {}'.format(
+            poller.details.documents_total_count
+        )
+    )
+
+    for document in result:
+        if document.status == 'Succeeded':
+            st.success('Translated to language: {}\n'.format(lang_name))
+        else:
+            st.error(
+                'Error Code: {}, Message: {}\n'.format(
+                    document.error.code, document.error.message
+                )
+            )
+
+# Streamlit UI
+st.title("Azure Translation Tools")
+
+# Step 1: Upload File
+uploaded_file = st.file_uploader("Upload a file to start the process")
+
+langs = (
+    'id - Indonesian',
+    'en - English',
+    'es - Spanish',
+    'zh - Chinese',
+    'ar - Arabic',
+    'fr - French',
+    'ru - Russian',
+    'hi - Hindi',
+    'pt - Portuguese',
+    'de - German',
+    'ms - Malay',
+    'ta - Tamil',
+    'ko - Korean',
+    'th - Thai',
+)
+
+lang = st.selectbox('Target language selection:', langs, key='lang')
+lang_id = lang.split()[0]
+lang_name = lang.split()[-1]
+
+if uploaded_file:
+    submit = st.button("Get Result", key='submit')
+
+if uploaded_file and submit:
+    file_name = uploaded_file.name
+    file_content = uploaded_file.read()
+
+    upload_to_azure(blob_service_client, FIRST_CONTAINER_NAME, file_content, file_name)
+
+    st.info("Performing translations on the file...")
+    translate(lang_id, lang_name)
+
+    # Upload file to second storage for simulation
+    downloaded_file_content = download_from_azure(blob_service_client, SECOND_CONTAINER_NAME, file_name)
+
+    # Step 5: Delete both files
+    delete_from_azure(blob_service_client, FIRST_CONTAINER_NAME, file_name)
+    delete_from_azure(blob_service_client, SECOND_CONTAINER_NAME, file_name)
+
+    # Allow user to download the file
+    st.download_button(
+        label="Download the Processed File",
+        data=downloaded_file_content,
+        file_name=f"{lang_name}-translated-{file_name}",
+        mime="application/octet-stream"
+    )