Update app.py

app.py

@@ -2,9 +2,10 @@ import streamlit as st
 from openai import OpenAI
 import time
 import datetime
+import os
 
-# Set your API key as a variable (securely from env in HF or paste here)
-openai_key = "YOUR_OPENAI_API_KEY_HERE"
+# Get OpenAI API key from Hugging Face secret environment variable
+openai_key = os.getenv("openai_key")
 
 st.set_page_config(page_title="Carfind.co.za AI Assistant")
 
@@ -32,67 +33,70 @@ else:
             st.success("Chat history cleared.")
 
     # Initialize OpenAI client
-    client = OpenAI(api_key=openai_key)
-
-    ASSISTANT_ID = "asst_5gQR21fOsmHil11FGBzEArA7"
-
-    # Initialize session state for chat history
-    if "messages" not in st.session_state:
-        st.session_state["messages"] = []
-
-    # Display chat history
-    for message in st.session_state.messages:
-        role, content = message["role"], message["content"]
-        st.chat_message(role).write(content)
-
-    # Helper function to save chat transcripts (not displayed, backend only)
-    def save_transcript(messages):
-        with open("chat_logs.txt", "a") as f:
-            f.write(f"\n--- New Chat ({datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')}) ---\n")
-            for msg in messages:
-                f.write(f"{msg['role'].capitalize()}: {msg['content']}\n")
-            f.write("--- End Chat ---\n")
-
-    # Process user input
-    if prompt := st.chat_input("Type your message here..."):
-        st.session_state.messages.append({"role": "user", "content": prompt})
-        st.chat_message("user").write(prompt)
-
-        try:
-            # Create a new thread
-            thread = client.beta.threads.create()
-            thread_id = thread.id
-
-            # Send user message
-            client.beta.threads.messages.create(
-                thread_id=thread_id,
-                role="user",
-                content=prompt
-            )
-
-            # Run assistant
-            run = client.beta.threads.runs.create(
-                thread_id=thread_id,
-                assistant_id=ASSISTANT_ID
-            )
-
-            # Wait for completion
-            while True:
-                run_status = client.beta.threads.runs.retrieve(thread_id=thread_id, run_id=run.id)
-                if run_status.status == "completed":
-                    break
-                time.sleep(1)
-
-            # Get assistant response
-            messages = client.beta.threads.messages.list(thread_id=thread_id)
-            assistant_message = messages.data[0].content[0].text.value
-
-            # Display and store response
-            st.chat_message("assistant").write(assistant_message)
-            st.session_state.messages.append({"role": "assistant", "content": assistant_message})
-
-            # Save conversation transcript silently
-            save_transcript(st.session_state.messages)
-
-        except Exception as e:
-            st.error(f"Error: {str(e)}")
+    if not openai_key:
+        st.error("OpenAI key not found. Please make sure it is set as a secret variable in Hugging Face.")
+    else:
+        client = OpenAI(api_key=openai_key)
+
+        ASSISTANT_ID = "asst_5gQR21fOsmHil11FGBzEArA7"
+
+        # Initialize session state for chat history
+        if "messages" not in st.session_state:
+            st.session_state["messages"] = []
+
+        # Display chat history
+        for message in st.session_state.messages:
+            role, content = message["role"], message["content"]
+            st.chat_message(role).write(content)
+
+        # Helper function to save chat transcripts (not displayed, backend only)
+        def save_transcript(messages):
+            with open("chat_logs.txt", "a") as f:
+                f.write(f"\n--- New Chat ({datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')}) ---\n")
+                for msg in messages:
+                    f.write(f"{msg['role'].capitalize()}: {msg['content']}\n")
+                f.write("--- End Chat ---\n")
+
+        # Process user input
+        if prompt := st.chat_input("Type your message here..."):
+            st.session_state.messages.append({"role": "user", "content": prompt})
+            st.chat_message("user").write(prompt)
+
+            try:
+                # Create a new thread
+                thread = client.beta.threads.create()
+                thread_id = thread.id
+
+                # Send user message
+                client.beta.threads.messages.create(
+                    thread_id=thread_id,
+                    role="user",
+                    content=prompt
+                )
+
+                # Run assistant
+                run = client.beta.threads.runs.create(
+                    thread_id=thread_id,
+                    assistant_id=ASSISTANT_ID
+                )
+
+                # Wait for completion
+                while True:
+                    run_status = client.beta.threads.runs.retrieve(thread_id=thread_id, run_id=run.id)
+                    if run_status.status == "completed":
+                        break
+                    time.sleep(1)
+
+                # Get assistant response
+                messages = client.beta.threads.messages.list(thread_id=thread_id)
+                assistant_message = messages.data[0].content[0].text.value
+
+                # Display and store response
+                st.chat_message("assistant").write(assistant_message)
+                st.session_state.messages.append({"role": "assistant", "content": assistant_message})
+
+                # Save conversation transcript silently
+                save_transcript(st.session_state.messages)
+
+            except Exception as e:
+                st.error(f"Error: {str(e)}")