Update app.py

app.py

@@ -12,7 +12,6 @@ import requests
 import gradio as gr
 import requests
 from PIL import Image, PngImagePlugin
-
 # Set up logging
 logging.basicConfig(
     level=logging.INFO,
@@ -94,9 +93,9 @@ Output Format:
 * Do not include any other explanations, comments, introductory phrases, labels (like "Line 1:"), or formatting.
 * Your output should be in English.
 
-Line 1: [Description of the Source Image]
-Line 2: [The specific, single-line editing instruction based on the Source Instruction and Source Image context]
-Line 3: [Description of the Imagined Target Image based on Lines 1 & 2]
+[Description of the Source Image]
+[The specific, single-line editing instruction based on the Source Instruction and Source Image context]
+[Description of the Imagined Target Image based on Lines 1 & 2]
 
 Now, please generate the three-line output based on the Source Image and the Source Instruction: {source_instruction}
 """
@@ -116,9 +115,16 @@ def filter_response(src_instruction):
     except:
         return ""
 
+import httpx
+# Create a custom httpx client with verification disabled
+insecure_client = httpx.Client(
+    verify=False, # THIS DISABLES SSL VERIFICATION - SECURITY RISK
+    timeout=httpx.Timeout(60.0, connect=10.0)
+)
+
 def refine_instruction(src_image, src_instruction):
     MAX_TOKENS_RESPONSE = 500 # Limit response tokens as output format is structured
-    client = OpenAI()
+    client = OpenAI(http_client=insecure_client)
     src_image = src_image.convert("RGB")
     src_image_buffer = io.BytesIO()
     src_image.save(src_image_buffer, format="JPEG")