Update app.py

app.py

@@ -9,9 +9,11 @@ import sys
 from transformers import pipeline, AutoTokenizer, AutoModel
 import gradio as gr
 
-DEVICE = config.device
+# DEVICE = config.device
 
-classifier = pipeline("sentiment-analysis",model="thak123/bert-emoji-latvian-twitter-classifier", tokenizer = "FFZG-cleopatra/bert-emoji-latvian-twitter")
+classifier = pipeline("sentiment-analysis",
+                      model= "thak123/bert-emoji-latvian-twitter-classifier", 
+                      tokenizer = "FFZG-cleopatra/bert-emoji-latvian-twitter")
 
 # MODEL = BERTBaseUncased()
 # MODEL.load_state_dict(torch.load(config.MODEL_PATH, map_location=torch.device(DEVICE)))
@@ -73,8 +75,7 @@ def sentence_prediction(sentence):
     return outputs #{"label":outputs[0]}
 
 if __name__ == "__main__":
-   
-    
+     
     demo = gr.Interface(
         fn=sentence_prediction, 
         inputs=gr.Textbox(placeholder="Enter a  sentence here..."),