Update app.py

app.py

@@ -39,7 +39,7 @@ user_input="""Brooo, you won’t believe what happened today 😭 So I’m just
 
 
 @tool
-def detect_text(texts):
+def detect_text(text):
     """ Process AI text detection using fakespot-ai/roberta-base-ai-text-detection-v1 model.
     It returns its result in a List[Dict] form.
     e.g. [{'label': 'AI', 'score': 0.9998624324798584}]
@@ -53,22 +53,21 @@ def detect_text(texts):
     ### due to the max token limit of the detection model
     num_words = 300
     batched_words = []
-    words: List = texts.split()
+    words: List = text.split()
 
-    if len(texts.split()) >= num_words:
+    if len(text.split()) >= num_words:
         for i in range(0, len(words), num_words):
             chunk = " ".join(words[i: i + num_words])
             batched_words.append(chunk)
 
+            ### Works with a batch of texts
             cleaned_text = classifier([clean_text(t) for t in batched_words])
             label_result = cleaned_text[0]["label"]
             score_result = cleaned_text[0]["score"]
 
         return label_result, score_result
     else:
-        cleaned_text = classifier(clean_text(texts))
-
-        ### Works with a batch of texts
+        cleaned_text = classifier(clean_text(text))
         label_result = cleaned_text[0]["label"]
         score_result = cleaned_text[0]["score"]