refactor UI

apps/2_streamlit_chat/main.py

@@ -34,11 +34,15 @@
     "[Azure OpenAI Studio](https://oai.azure.com/resource/overview)"
     "[View the source code](https://github.com/ks6088ts-labs/workshop-azure-openai/blob/main/apps/2_streamlit_chat/main.py)"
 
+
+def is_configured():
+    return azure_openai_api_key and azure_openai_endpoint and azure_openai_api_version and azure_openai_gpt_model
+
+
 st.title("2_streamlit_chat")
 
-if not azure_openai_api_key or not azure_openai_endpoint or not azure_openai_api_version or not azure_openai_gpt_model:
+if not is_configured():
     st.warning("Please fill in the required fields at the sidebar.")
-    st.stop()
 
 if "messages" not in st.session_state:
     st.session_state["messages"] = [
@@ -53,7 +57,7 @@
     st.chat_message(msg["role"]).write(msg["content"])
 
 # Receive user input
-if prompt := st.chat_input():
+if prompt := st.chat_input(disabled=not is_configured()):
     client = AzureOpenAI(
         api_key=azure_openai_api_key,
         api_version=azure_openai_api_version,

apps/4_streamlit_chat_history/main.py

@@ -66,10 +66,15 @@ def store_chat_history(container: ContainerProxy):
     "[Azure OpenAI Studio](https://oai.azure.com/resource/overview)"
     "[View the source code](https://github.com/ks6088ts-labs/workshop-azure-openai/blob/main/apps/4_streamlit_chat_history/main.py)"
 
+
+def is_configured():
+    return azure_openai_api_key and azure_openai_endpoint and azure_openai_api_version and azure_openai_gpt_model
+
+
 st.title("4_streamlit_chat_history")
-if not azure_openai_api_key or not azure_openai_endpoint or not azure_openai_api_version or not azure_openai_gpt_model:
+
+if not is_configured():
     st.warning("Please fill in the required fields at the sidebar.")
-    st.stop()
 
 st.write(f"Session ID: {get_session_id()}")
 
@@ -86,7 +91,7 @@ def store_chat_history(container: ContainerProxy):
     st.chat_message(msg["role"]).write(msg["content"])
 
 # Receive user input
-if prompt := st.chat_input():
+if prompt := st.chat_input(disabled=not is_configured()):
     client = AzureOpenAI(
         api_key=azure_openai_api_key,
         api_version=azure_openai_api_version,

apps/7_streamlit_chat_rag/main.py

@@ -57,9 +57,13 @@
     "[Azure OpenAI Studio](https://oai.azure.com/resource/overview)"
     "[View the source code](https://github.com/ks6088ts-labs/workshop-azure-openai/blob/main/apps/7_streamlit_chat_rag/main.py)"
 
-if not azure_openai_api_key or not azure_openai_endpoint or not azure_openai_api_version or not azure_openai_gpt_model:
+
+def is_configured():
+    return azure_openai_api_key and azure_openai_endpoint and azure_openai_api_version and azure_openai_gpt_model
+
+
+if not is_configured():
     st.warning("Please fill in the required fields at the sidebar.")
-    st.stop()
 
 
 def get_session_id():
@@ -121,7 +125,7 @@ def main():
     for msg in st.session_state["memory"].chat_memory.messages:
         st.chat_message(msg.type).write(msg.content)
 
-    if prompt := st.chat_input(placeholder="Type your message here..."):
+    if prompt := st.chat_input(placeholder="Type your message here...", disabled=not is_configured()):
         st.chat_message("user").write(prompt)
 
         with st.chat_message("assistant"):

apps/8_streamlit_azure_openai_batch/main.py

@@ -36,34 +36,44 @@
     "[Azure OpenAI Studio](https://oai.azure.com/resource/overview)"
     "[View the source code](https://github.com/ks6088ts-labs/workshop-azure-openai/blob/main/apps/8_streamlit_azure_openai_batch/main.py)"
 
+
+def is_configured():
+    return azure_openai_api_key and azure_openai_endpoint and azure_openai_api_version and azure_openai_gpt_model
+
+
+def get_client():
+    return AzureOpenAI(
+        api_key=azure_openai_api_key,
+        api_version=azure_openai_api_version,
+        azure_endpoint=azure_openai_endpoint,
+    )
+
+
 st.title("8_streamlit_azure_openai_batch")
 
-if not azure_openai_api_key or not azure_openai_endpoint or not azure_openai_api_version or not azure_openai_gpt_model:
+if not is_configured():
     st.warning("Please fill in the required fields at the sidebar.")
-    st.stop()
 
 # ---------------
 # Upload batch file
 # ---------------
 st.header("Upload batch file")
 st.info("Upload a file in JSON lines format (.jsonl)")
-client = AzureOpenAI(
-    api_key=azure_openai_api_key,
-    api_version=azure_openai_api_version,
-    azure_endpoint=azure_openai_endpoint,
-)
 uploaded_file = st.file_uploader("Upload an input file in JSON lines format", type=("jsonl"))
 if uploaded_file:
     bytes_data = uploaded_file.read()
     st.write(bytes_data.decode().split("\n"))
-    submit_button = st.button("Submit", key="submit")
-    if submit_button:
+    if st.button(
+        "Submit",
+        key="submit",
+        disabled=not is_configured(),
+    ):
         temp_file_path = "tmp.jsonl"
         with open(temp_file_path, "wb") as f:
             f.write(bytes_data)
         with st.spinner("Uploading..."):
             try:
-                response = client.files.create(
+                response = get_client().files.create(
                     # FIXME: hardcoded for now, use uploaded_file
                     file=open(temp_file_path, "rb"),
                     purpose="batch",
@@ -83,11 +93,14 @@
     key="track_file_id",
     help="Enter the file ID to track the file upload status",
 )
-track_button = st.button("Track")
-if track_file_id != "" and track_button:
+if st.button(
+    "Track",
+    key="track",
+    disabled=not track_file_id or not is_configured(),
+):
     with st.spinner("Tracking..."):
         try:
-            response = client.files.retrieve(track_file_id)
+            response = get_client().files.retrieve(track_file_id)
             st.write(response.model_dump())
             st.write(f"status: {response.status}")
         except Exception as e:
@@ -104,11 +117,14 @@
     key="batch_file_id",
     help="Enter the file ID to track the file upload status",
 )
-batch_button = st.button("Create batch job")
-if batch_file_id != "" and batch_button:
+if st.button(
+    "Create batch job",
+    key="create",
+    disabled=not batch_file_id or not is_configured(),
+):
     with st.spinner("Creating..."):
         try:
-            response = client.batches.create(
+            response = get_client().batches.create(
                 input_file_id=batch_file_id,
                 endpoint="/chat/completions",
                 completion_window="24h",
@@ -128,11 +144,14 @@
     key="track_batch_job_id",
     help="Enter the batch job ID to track the job progress",
 )
-track_batch_job_button = st.button("Track batch job")
-if track_batch_job_id != "" and track_batch_job_button:
+if st.button(
+    "Track batch job",
+    key="track_batch_job",
+    disabled=not track_batch_job_id or not is_configured(),
+):
     with st.spinner("Tracking..."):
         try:
-            response = client.batches.retrieve(track_batch_job_id)
+            response = get_client().batches.retrieve(track_batch_job_id)
             st.write(response.model_dump())
             st.write(f"status: {response.status}")
             st.write(f"output_file_id: {response.output_file_id}")
@@ -150,11 +169,14 @@
     key="retrieve_batch_job_id",
     help="Enter the batch job ID to retrieve the output file",
 )
-retrieve_batch_job_button = st.button("Retrieve batch job output file")
-if output_file_id != "" and retrieve_batch_job_button:
+if st.button(
+    "Retrieve batch job output file",
+    key="retrieve_batch_job",
+    disabled=not output_file_id or not is_configured(),
+):
     with st.spinner("Retrieving..."):
         try:
-            file_response = client.files.content(output_file_id)
+            file_response = get_client().files.content(output_file_id)
             raw_responses = file_response.text.strip().split("\n")
 
             for raw_response in raw_responses:

apps/99_streamlit_examples/pages/1_File_Q&A.py

@@ -34,11 +34,15 @@
     "[Azure OpenAI Studio](https://oai.azure.com/resource/overview)"
     "[View the source code](https://github.com/ks6088ts-labs/workshop-azure-openai/blob/main/apps/99_streamlit_examples/pages/1_File_Q&A.py)"
 
+
+def is_configured():
+    return azure_openai_api_key and azure_openai_endpoint and azure_openai_api_version and azure_openai_gpt_model
+
+
 st.title("File Q&A")
 
-if not azure_openai_api_key or not azure_openai_endpoint or not azure_openai_api_version or not azure_openai_gpt_model:
+if not is_configured():
     st.warning("Please fill in the required fields at the sidebar.")
-    st.stop()
 
 st.info("Upload a file and ask a question. AI will answer the question.")
 
@@ -49,7 +53,7 @@
     disabled=not uploaded_file,
 )
 
-if uploaded_file and question:
+if uploaded_file and question and is_configured():
     article = uploaded_file.read().decode()
 
     client = AzureOpenAI(

apps/99_streamlit_examples/pages/2_Image_Q&A.py

@@ -35,11 +35,15 @@
     "[Azure OpenAI Studio](https://oai.azure.com/resource/overview)"
     "[View the source code](https://github.com/ks6088ts-labs/workshop-azure-openai/blob/main/apps/99_streamlit_examples/pages/2_Image_Q&A.py)"
 
+
+def is_configured():
+    return azure_openai_api_key and azure_openai_endpoint and azure_openai_api_version and azure_openai_gpt_model
+
+
 st.title("Image Q&A")
 
-if not azure_openai_api_key or not azure_openai_endpoint or not azure_openai_api_version or not azure_openai_gpt_model:
+if not is_configured():
     st.warning("Please fill in the required fields at the sidebar.")
-    st.stop()
 
 st.info("Upload an image and ask a question. AI will answer the question.")
 
@@ -60,7 +64,7 @@
     disabled=not uploaded_file,
 )
 
-if uploaded_file and question:
+if uploaded_file and question and is_configured():
     encoded_image = base64.b64encode(uploaded_file.read()).decode()
 
     client = AzureOpenAI(

apps/99_streamlit_examples/pages/3_Camera_Q&A.py

@@ -35,11 +35,15 @@
     "[Azure OpenAI Studio](https://oai.azure.com/resource/overview)"
     "[View the source code](https://github.com/ks6088ts-labs/workshop-azure-openai/blob/main/apps/99_streamlit_examples/pages/3_Camera_Q&A.py)"
 
+
+def is_configured():
+    return azure_openai_api_key and azure_openai_endpoint and azure_openai_api_version and azure_openai_gpt_model
+
+
 st.title("Camera Q&A")
 
-if not azure_openai_api_key or not azure_openai_endpoint or not azure_openai_api_version or not azure_openai_gpt_model:
+if not is_configured():
     st.warning("Please fill in the required fields at the sidebar.")
-    st.stop()
 
 st.info("Take a picture and ask a question. AI will answer the question.")
 
@@ -50,7 +54,7 @@
     disabled=not img_file_buffer,
 )
 
-if img_file_buffer and question:
+if img_file_buffer and question and is_configured():
     encoded_image = base64.b64encode(img_file_buffer.getvalue()).decode()
 
     client = AzureOpenAI(

apps/99_streamlit_examples/pages/4_Translate_text.py

@@ -34,11 +34,15 @@
     "[Azure OpenAI Studio](https://oai.azure.com/resource/overview)"
     "[View the source code](https://github.com/ks6088ts-labs/workshop-azure-openai/blob/main/apps/99_streamlit_examples/pages/4_Translate_text.py)"
 
+
+def is_configured():
+    return azure_openai_api_key and azure_openai_endpoint and azure_openai_api_version and azure_openai_gpt_model
+
+
 st.title("Translate text")
 
-if not azure_openai_api_key or not azure_openai_endpoint or not azure_openai_api_version or not azure_openai_gpt_model:
+if not is_configured():
     st.warning("Please fill in the required fields at the sidebar.")
-    st.stop()
 
 st.info("This is a sample to translate text.")
 
@@ -89,7 +93,7 @@ def translate(target: str, input: str) -> str:
     )
 
 with row1_right:
-    translate_button = st.button("Translate")
+    translate_button = st.button("Translate", disabled=not is_configured())
 
 # 2nd row
 row2_left, row2_right = st.columns(2)

apps/99_streamlit_examples/pages/5_Explain_data.py

@@ -38,11 +38,15 @@
     "[Azure OpenAI Studio](https://oai.azure.com/resource/overview)"
     "[View the source code](https://github.com/ks6088ts-labs/workshop-azure-openai/blob/main/apps/99_streamlit_examples/pages/5_Explain_data.py)"
 
+
+def is_configured():
+    return azure_openai_api_key and azure_openai_endpoint and azure_openai_api_version and azure_openai_gpt_model
+
+
 st.title("Explain data")
 
-if not azure_openai_api_key or not azure_openai_endpoint or not azure_openai_api_version or not azure_openai_gpt_model:
+if not is_configured():
     st.warning("Please fill in the required fields at the sidebar.")
-    st.stop()
 
 st.info("This is a sample to explain data.")
 
@@ -104,7 +108,7 @@ def explain_data(input: str) -> str:
     use_container_width=True,
 )
 
-explain_button = st.button("Explain data")
+explain_button = st.button("Explain data", disabled=not is_configured())
 
 if explain_button:
     with st.spinner("Numerical data analysis..."):

apps/99_streamlit_examples/pages/6_Speech_to_text.py

@@ -35,11 +35,15 @@
     "[Azure OpenAI Studio](https://oai.azure.com/resource/overview)"
     "[View the source code](https://github.com/ks6088ts-labs/workshop-azure-openai/blob/main/apps/99_streamlit_examples/pages/6_Speech_to_text.py)"
 
+
+def is_configured():
+    return azure_openai_api_key and azure_openai_endpoint and azure_openai_api_version and azure_openai_stt_model
+
+
 st.title("Speech to text")
 
-if not azure_openai_api_key or not azure_openai_endpoint or not azure_openai_api_version or not azure_openai_stt_model:
+if not is_configured():
     st.warning("Please fill in the required fields at the sidebar.")
-    st.stop()
 
 st.info("This is a sample to convert speech to text.")
 
@@ -64,17 +68,17 @@
         azure_endpoint=azure_openai_endpoint,
     )
 
-    if st.button("Convert"):
-        with st.spinner("Converting..."):
-            response = client.audio.transcriptions.create(
-                model=azure_openai_stt_model,
-                file=uploaded_file,
-                response_format="text",
-            )
-        st.write(response)
-        transcript_encoded = base64.b64encode(response.encode()).decode()
-        # Generate a link to download the result
-        st.markdown(
-            f'<a href="data:file/txt;base64,{transcript_encoded}" download="transcript.txt">Download Result</a>',
-            unsafe_allow_html=True,
+if st.button("Convert", disabled=not uploaded_file or not is_configured()):
+    with st.spinner("Converting..."):
+        response = client.audio.transcriptions.create(
+            model=azure_openai_stt_model,
+            file=uploaded_file,
+            response_format="text",
         )
+    st.write(response)
+    transcript_encoded = base64.b64encode(response.encode()).decode()
+    # Generate a link to download the result
+    st.markdown(
+        f'<a href="data:file/txt;base64,{transcript_encoded}" download="transcript.txt">Download Result</a>',
+        unsafe_allow_html=True,
+    )