Update app.py

app.py

@@ -207,7 +207,7 @@ class Translators:
     def bigscience(self):  
         tokenizer = AutoTokenizer.from_pretrained(self.model_name)
         model = AutoModelForSeq2SeqLM.from_pretrained(self.model_name)
-        self.input_text = self.input_text if self.input_text.endswith('.') else f{self.input_text}.'
+        self.input_text = self.input_text if self.input_text.endswith('.') else f'{self.input_text}.'
         inputs = tokenizer.encode(f"Translate to {self.tl}: {self.input_text}", return_tensors="pt")
         outputs = model.generate(inputs)
         translation = tokenizer.decode(outputs[0])
@@ -217,7 +217,7 @@ class Translators:
     def bloomz(self):  
         tokenizer = AutoTokenizer.from_pretrained(self.model_name)
         model = AutoModelForCausalLM.from_pretrained(self.model_name)
-        self.input_text = self.input_text if self.input_text.endswith('.') else f{self.input_text}.'
+        self.input_text = self.input_text if self.input_text.endswith('.') else f'{self.input_text}.'
         # inputs = tokenizer.encode(f"Translate from {self.sl} to {self.tl}: {self.input_text} Translation:", return_tensors="pt")
         inputs = tokenizer.encode(f"Translate to {self.tl}: {self.input_text}", return_tensors="pt")
         outputs = model.generate(inputs)