Add requirements

app.py

@@ -6,14 +6,11 @@ label2id = {"Negative":0, "Positive":1}
 
 # Load the tokenizer and model
 tokenizer = AutoTokenizer.from_pretrained('distilbert/distilbert-base-uncased', add_prefix_space=True)
-model = AutoModelForSequenceClassification.from_pretrained(
-    model="AmirRghp/distilbert-base-uncasedimdb-text-classification", num_labels=2, id2label=id2label, label2id=label2id)
+model = AutoModelForSequenceClassification.from_pretrained('AmirRghp/distilbert-base-uncasedimdb-text-classification')
 
 # Create the pipeline
 classifier = pipeline('text-classification', model=model, tokenizer=tokenizer)
 
-# Load your model from your Hugging Face profile
-classifier = pipeline('text-classification', model='AmirRghp/distilbert-base-uncasedimdb-text-classification')
 
 def classify_text(text):
     result = classifier(text)