Update app.py

app.py

@@ -27,19 +27,19 @@ text_category_example = [[" anadolu_efes e 18 lik star ! beko_basketbol_ligi nde
 
 
 @spaces.GPU
-def nli(input, model_choice="turna_nli_nli_tr", generation_params):
+def nli(input, model_choice="turna_nli_nli_tr"):
     
     if model_choice=="turna_nli_nli_tr":
-        nli_model = pipeline(model="boun-tabi-LMG/turna_nli_nli_tr", device=0, **generation_params) 
+        nli_model = pipeline(model="boun-tabi-LMG/turna_nli_nli_tr", device=0) 
         return nli_model(input)[0]["generated_text"]
     else:
-        stsb_model = pipeline(model="boun-tabi-LMG/turna_semantic_similarity_stsb_tr", device=0, **generation_params)
+        stsb_model = pipeline(model="boun-tabi-LMG/turna_semantic_similarity_stsb_tr", device=0)
 
         return stsb_model(input)[0]["generated_text"]
 
 
 @spaces.GPU
-def sentiment_analysis(input, model_choice="turna_classification_17bintweet_sentiment", generation_params):
+def sentiment_analysis(input, model_choice="turna_classification_17bintweet_sentiment"):
     if model_choice=="turna_classification_17bintweet_sentiment":
         sentiment_model = pipeline(model="boun-tabi-LMG/turna_classification_17bintweet_sentiment", device=0)