Update app.py

app.py

@@ -81,11 +81,11 @@ def chatbot(message, history):
     return history, history
 
 # Sentiment Analysis using Hugging Face model
-tokenizer = AutoTokenizer.from_pretrained("cardiffnlp/twitter-roberta-base-sentiment")
+tokenizer_sentiment = AutoTokenizer.from_pretrained("cardiffnlp/twitter-roberta-base-sentiment")
 model_sentiment = AutoModelForSequenceClassification.from_pretrained("cardiffnlp/twitter-roberta-base-sentiment")
 
 def analyze_sentiment(user_input):
-    inputs = tokenizer(user_input, return_tensors="pt")
+    inputs = tokenizer_sentiment(user_input, return_tensors="pt")
     with torch.no_grad():
         outputs = model_sentiment(**inputs)
     predicted_class = torch.argmax(outputs.logits, dim=1).item()
@@ -228,4 +228,4 @@ iface = gr.Interface(
 )
 
 # Launch the Gradio interface
-iface.launch()
+iface.launch()