Update pipeline.py

pipeline.py

@@ -77,9 +77,9 @@ class PreTrainedPipeline():
         self.model = AutoModelForCausalLM.from_pretrained("Lin0He/text-summary-gpt2-short")
 
 
-    def __call__(self, data) -> Dict[str, Any]:
+    def __call__(self, Dict[str, str]) -> Dict[str, str]:
         # process input
-        inputs = "Today was a beautiful day. I had a good night’s sleep and was ready to start the day. I went to work and had a productive morning. I even managed to finish a project I’d been working on for weeks. After work, I ran to clear my head. It was a beautiful day and the weather was perfect for it. I came home and cooked dinner with my partner. We had a nice conversation over dinner and then spent the evening watching a movie. Overall, it was a pretty relaxing and enjoyable day." #data.pop("inputs", data)
+        inputs = data.pop("inputs", data)
         # process input text
         prediction = model_infer(self.model, self.tokenizer, inputs+"TL;DR")
         return {"text": prediction}