Update app.py

app.py

@@ -3,8 +3,9 @@ import openai
 from dotenv import load_dotenv
 import os
 import time
+from gradio_client import Client
+
 
-current_thread_id = None
 
 title = "# Welcome to 🙋🏻‍♂️Tonic's🕵🏻‍♂️Bulbi🪴Plant👩🏻‍⚕️Doctor!"
 description = """Here you can use Bulbi - an OpenAI agent that helps you save your plants! 
@@ -29,6 +30,8 @@ openai.api_key = os.getenv('OPENAI_API_KEY')
 assistant_id = os.getenv('ASSISTANT_ID')
 client = openai.OpenAI(api_key=openai.api_key)
 thread_ids = {}
+current_thread_id = None
+gradio_client = Client("https://tonic1-tulu.hf.space/--replicas/t5vxm/")
 
 def ask_openai(question, start_new_thread=True, selected_thread_id=None):
     global thread_ids
@@ -89,10 +92,6 @@ def ask_openai(question, start_new_thread=True, selected_thread_id=None):
         else:
             return "No response."
 
-        # Initialize Gradio client
-        gradio_client = Client("https://tonic1-tulu.hf.space/--replicas/t5vxm/")
-
-        # Pass the response text to the Gradio client and get the prediction
         final_result = gradio_client.predict(
             response_text,  
             "I am Tulu, an Expert Plant Doctor, I will exactly summarize the information you provide to me.",
@@ -104,6 +103,9 @@ def ask_openai(question, start_new_thread=True, selected_thread_id=None):
     except Exception as e:
         return f"An error occurred: {str(e)}"
 
+    except Exception as e:
+        return f"An error occurred: {str(e)}"
+
 iface = gr.Interface(
     title=title,
     description=description,