Update app.py

app.py

@@ -16,27 +16,27 @@ paraphrase_tokenizer = AutoTokenizer.from_pretrained("csebuetnlp/banglat5_bangla
 
 # Function to perform machine translation
 def translate_text_en_bn(input_text):
-    inputs = translation_tokenizer_en_bn("translate: " + input_text, return_tensors="pt")
+    inputs = translation_tokenizer_en_bn(input_text, return_tensors="pt")
     outputs = translation_model_en_bn.generate(**inputs)
     translated_text = translation_tokenizer_en_bn.decode(outputs[0], skip_special_tokens=True)
     return translated_text
 
 def translate_text_bn_en(input_text):
-    inputs = translation_tokenizer_bn_en("translate: " + input_text, return_tensors="pt")
+    inputs = translation_tokenizer_bn_en(input_text, return_tensors="pt")
     outputs = translation_model_bn_en.generate(**inputs)
     translated_text = translation_tokenizer_bn_en.decode(outputs[0], skip_special_tokens=True)
     return translated_text
 
 # Function to perform summarization
 def summarize_text(input_text):
-    inputs = summarization_tokenizer("summarize: " + input_text, return_tensors="pt")
+    inputs = summarization_tokenizer(input_text, return_tensors="pt")
     outputs = summarization_model.generate(**inputs)
     summarized_text = summarization_tokenizer.decode(outputs[0], skip_special_tokens=True)
     return summarized_text
 
 # Function to perform paraphrasing
 def paraphrase_text(input_text):
-    inputs = paraphrase_tokenizer("paraphrase: " + input_text, return_tensors="pt")
+    inputs = paraphrase_tokenizer(input_text, return_tensors="pt")
     outputs = paraphrase_model.generate(**inputs)
     paraphrased_text = paraphrase_tokenizer.decode(outputs[0], skip_special_tokens=True)
     return paraphrased_text