diff --git a/README.md b/README.md
index 0bda9c5..f797627 100644
--- a/README.md
+++ b/README.md
@@ -50,8 +50,7 @@ print(response)
                           
 ### Output
 
-{"output"          : "The classifier considers the text to be very unlikely AI-generated.",
-"Confidence score" : 96.15870427207666}
+{'Class': 'very unlikely', 'AI-Generated Probability': 3.4583769381404563}
 
 ```
 
@@ -86,7 +85,7 @@ Here is an example
 ## TO-DO
 
 - Add all classes labels (total 5 classes from openai) ✅
-- add verifier to check if the sentence is 1000 characters long
+- add verifier to check if the sentence is 1000 characters long ✅
 - automatically detect token from user_name, password
 
 
diff --git a/detector/detector.py b/detector/detector.py
index 0c6b2ed..ab1b697 100644
--- a/detector/detector.py
+++ b/detector/detector.py
@@ -27,6 +27,8 @@ def __init__(self, token):
         self.class_max = [10, 45, 90, 98, 99]
 
     def detect(self, text, all_probs=False):
+        if len(text) < 1000:
+            return "Check prompt, Length of sentence it should be more than 1,000 characters"
         data = {
             'prompt': text + "».\n<|disc_score|>",
             'max_tokens': 1,
@@ -56,4 +58,5 @@ def detect(self, text, all_probs=False):
             if all_probs:
                 return probs, top_prob
             return top_prob
-        return "Check prompt, Length of sentence it should be more than 1,000 characters"
+        elif response.status_code != 200:
+            return "Web request was not successful. Please check your bearer token and try again."