Update app.py

app.py

@@ -121,25 +121,29 @@ def check_condition(prompt, base64Frames):
 
         # Save frames as images
 
-
-    messages = [
-        {"role": "system", "content": """You are analyzing video to check if the user's condition is met. 
-        Please respond with a JSON object in the following format:
-        {"condition_met": true/false, "details": "optional details or summary. in the summary DON'T mention the words: image, images, frame, or frames. Instead, make it look like you were provided with video input and avoid referring to individual images or frames explicitly."}"""},
-        {"role": "user", "content": [prompt, *map(lambda x: {"type": "image_url", "image_url": {"url": f'data:image/jpg;base64,{x}', "detail": "low"}}, base64Frames)]}
-    ]
-
-    response = client.chat.completions.create(
-        model="gpt-4o",
-        messages=messages,
-        temperature=0,
-        response_format={ "type": "json_object" }
-    )
-
-    end_time = time.time()
-    processing_time = end_time - start_time
-    frames_count = len(base64Frames)
-    api_response = response.choices[0].message.content
+    try:
+        messages = [
+            {"role": "system", "content": """You are analyzing video to check if the user's condition is met. 
+            Please respond with a JSON object in the following format:
+            {"condition_met": true/false, "details": "optional details or summary. in the summary DON'T mention the words: image, images, frame, or frames. Instead, make it look like you were provided with video input and avoid referring to individual images or frames explicitly."}"""},
+            {"role": "user", "content": [prompt, *map(lambda x: {"type": "image_url", "image_url": {"url": f'data:image/jpg;base64,{x}', "detail": "low"}}, base64Frames)]}
+        ]
+    
+        response = client.chat.completions.create(
+            model="gpt-4o",
+            messages=messages,
+            temperature=0,
+            response_format={ "type": "json_object" }
+        )
+    
+        end_time = time.time()
+        processing_time = end_time - start_time
+        frames_count = len(base64Frames)
+        api_response = response.choices[0].message.content
+    except Error as e:
+        print('error from openai', e)
+        return 0, 0, {"condition_met": False}
+        
     try:
         jsonNew = json.loads(api_response)
         print('result', response.usage.total_tokens, jsonNew)