app updated

app.py

@@ -10,10 +10,10 @@ class PredictionPipeline:
         self.config = ConfigurationManager().get_model_evaluation_config()
         
     def predict(self,text):
-        tokenizer = AutoTokenizer.from_pretrained(self.config.tokenizer_path)
+        tokenizer = AutoTokenizer.from_pretrained('tokenizer')
         gen_kwargs = {"length_penalty": 0.8, "num_beams":8, "max_length": 128}
 
-        pipe = pipeline("summarization", model=self.config.model_path,tokenizer=tokenizer)
+        pipe = pipeline("summarization", model='pegasus-samsum-model',tokenizer=tokenizer)
 
         print("Dialogue:")
         print(text)