tidy up single/double quotes

streamlit_app.py

@@ -9,27 +9,31 @@ st.set_page_config(page_title="💬 Open AI Chatbot")
 
 # Replicate Credentials
 with st.sidebar:
-    st.title('💬 Open AI Chatbot')
-    st.write('This chatbot is created using the GPT model from Open AI.')
-    if 'OPENAI_API_KEY' in st.secrets:
-        st.success('API key already provided!', icon='✅')
-        openai_api = st.secrets['OPENAI_API_KEY']
+    st.title("💬 Open AI Chatbot")
+    st.write("This chatbot is created using the GPT model from Open AI.")
+    if "OPENAI_API_KEY" in st.secrets:
+        st.success("API key already provided!", icon="✅")
+        openai_api = st.secrets["OPENAI_API_KEY"]
     else:
-        openai_api = st.text_input('Enter OpenAI API token:', type='password')
-        if not (openai_api.startswith('sk-') and len(openai_api)==51):
-            st.warning('Please enter your credentials!', icon='⚠️')
+        openai_api = st.text_input("Enter OpenAI API token:", type="password")
+        if not (openai_api.startswith("sk-") and len(openai_api)==51):
+            st.warning("Please enter your credentials!", icon="⚠️")
         else:
-            st.success('Proceed to entering your prompt message!', icon='👉')
-    os.environ['OPENAI_API_KEY'] = openai_api
+            st.success("Proceed to entering your prompt message!", icon="👉")
+    os.environ["OPENAI_API_KEY"] = openai_api
 
-    st.subheader('Models and parameters')
-    selected_model = st.sidebar.selectbox('Choose an OpenAI model', ['gpt-3.5-turbo-1106', 'gpt-4-1106-preview'], key='selected_model')
-    temperature = st.sidebar.slider('temperature', min_value=0.01, max_value=2.0, value=0.1, step=0.01)
-    st.markdown('📖 Reach out to Sakimilo to learn how to create this app!')
+    st.subheader("Models and parameters")
+    selected_model = st.sidebar.selectbox("Choose an OpenAI model", 
+                                          ["gpt-3.5-turbo-1106", "gpt-4-1106-preview"], 
+                                           key="selected_model")
+    temperature = st.sidebar.slider("temperature", min_value=0.01, max_value=2.0, 
+                                    value=0.1, step=0.01)
+    st.markdown("📖 Reach out to SakiMilo to learn how to create this app!")
 
 # Store LLM generated responses
 if "messages" not in st.session_state.keys():
-    st.session_state.messages = [{"role": "assistant", "content": "How may I assist you today?"}]
+    st.session_state.messages = [{"role": "assistant", 
+                                  "content": "How may I assist you today?"}]
 
 # Display or clear chat messages
 for message in st.session_state.messages:
@@ -37,8 +41,9 @@ for message in st.session_state.messages:
         st.write(message["content"])
 
 def clear_chat_history():
-    st.session_state.messages = [{"role": "assistant", "content": "How may I assist you today?"}]
-st.sidebar.button('Clear Chat History', on_click=clear_chat_history)
+    st.session_state.messages = [{"role": "assistant", 
+                                  "content": "How may I assist you today?"}]
+st.sidebar.button("Clear Chat History", on_click=clear_chat_history)
 
 def generate_llm_response(client, prompt_input):
     system_content = ("You are a helpful assistant. "
@@ -69,7 +74,7 @@ if st.session_state.messages[-1]["role"] != "assistant":
         with st.spinner("Thinking..."):
             response = generate_llm_response(client, prompt)
             placeholder = st.empty()
-            full_response = ''
+            full_response = ""
             for chunk in response:
                 if chunk.choices[0].delta.content is not None:
                     full_response += chunk.choices[0].delta.content