Use summarization

app.py

@@ -4,7 +4,7 @@ def get_pipe(name):
     tokenizer = AutoTokenizer.from_pretrained(name)
     model = AutoModelForSeq2SeqLM.from_pretrained(name)
     pipe = pipeline(
-	"text-generation", model=model, tokenizer=tokenizer, framework="pt"
+	"summarization", model=model, tokenizer=tokenizer, framework="pt"
     )
     return pipe
 model_names = ['bigscience/T0_3B','bigscience/T0'] #, 'bigscience/T0p', 'bigscience/T0pp']