Fix

app.py

@@ -8,11 +8,11 @@ tokenizer = AlbertTokenizer.from_pretrained("ai4bharat/MultiIndicWikiBioSS", do_
 # Or use tokenizer = AlbertTokenizer.from_pretrained("ai4bharat/IndicBART-XLSum", do_lower_case=False, use_fast=False, keep_accents=True)
 
 # xlsummodel = AutoModelForSeq2SeqLM.from_pretrained("ai4bharat/IndicBART-XLSum")
-qgmodel = AutoModelForSeq2SeqLM.from_pretrained("ai4bharat/MultiIndicQuestionGenerationSS")
-hgmodel = AutoModelForSeq2SeqLM.from_pretrained("ai4bharat/MultiIndicHeadlineGenerationSS")
-ssmodel = AutoModelForSeq2SeqLM.from_pretrained("ai4bharat/MultiIndicSentenceSummarizationSS")
-ppmodel = AutoModelForSeq2SeqLM.from_pretrained("ai4bharat/MultiIndicParaphraseGenerationSS")
-wbmodel = AutoModelForSeq2SeqLM.from_pretrained("ai4bharat/MultiIndicWikiBioSS")
+qgmodel = AutoModelForSeq2SeqLM.from_pretrained("ai4bharat/MultiIndicQuestionGenerationSS").eval()
+hgmodel = AutoModelForSeq2SeqLM.from_pretrained("ai4bharat/MultiIndicHeadlineGenerationSS").eval()
+ssmodel = AutoModelForSeq2SeqLM.from_pretrained("ai4bharat/MultiIndicSentenceSummarizationSS").eval()
+ppmodel = AutoModelForSeq2SeqLM.from_pretrained("ai4bharat/MultiIndicParaphraseGenerationSS").eval()
+wbmodel = AutoModelForSeq2SeqLM.from_pretrained("ai4bharat/MultiIndicWikiBioSS").eval()
 
 # Some initial mapping
 bos_id = tokenizer._convert_token_to_id_with_added_voc("<s>")