Update app.py

app.py

@@ -3,23 +3,23 @@ from sentence_transformers import SentenceTransformer, util
 import openai
 import os
 #trying so when user puts la or los angles specific pic comes:
-import gradio as gr
 
 # URL or path to your image file
-PICTURE_URL = "https://www.google.com/url?sa=i&url=https%3A%2F%2Fwww.viator.com%2Fblog%2FLos-Angeles-Neighborhood-Guide%2Fl28613&psig=AOvVaw373cy7Ol0Un2ZFwQhyhQCW&ust=1722567700903000&source=images&cd=vfe&opi=89978449&ved=0CBEQjRxqFwoTCOj2x_Hm0ocDFQAAAAAdAAAAABAM"
+#PICTURE_URL = "https://www.google.com/url?sa=i&url=https%3A%2F%2Fwww.viator.com%2Fblog%2FLos-Angeles-Neighborhood-Guide%2Fl28613&psig=AOvVaw373cy7Ol0Un2ZFwQhyhQCW&ust=1722567700903000&source=images&cd=vfe&opi=89978449&ved=0CBEQjRxqFwoTCOj2x_Hm0ocDFQAAAAAdAAAAABAM"
 
-def respond(user_input):
-    if "los angeles" in user_input.lower() or "la" in user_input.lower():
-        return f"Here's a picture of Los Angeles!", PICTURE_URL
-    else:
-        return "How can I help you with astronomy?", None
+#def respond(user_input):
+ #   if "los angeles" in user_input.lower() or "la" in user_input.lower():
+ #       return f"Here's a picture of Los Angeles!", PICTURE_URL
+ #   else:
+   #     return "How can I help you with astronomy?", None
 
 # Define the Gradio interface
-iface = gr.Interface(
-    fn=respond, 
-    inputs="text", 
-    outputs=["text", "image"]
-)
+#iface = gr.Interface(
+  
+#  fn=respond, 
+  #  inputs="text", 
+   # outputs=["text", "image"]
+)#
 
 # Launch the interface
 iface.launch()