fixed input output

app.py

@@ -5,9 +5,9 @@ from normalizer import normalize
 
 
 def summarize(text):
-    model = AutoModelForSeq2SeqLM.from_pretrained("csebuetnlp/banglat5")
+    model = AutoModelForSeq2SeqLM.from_pretrained("models/Afsara/csebuetnlp-banglat5")
     tokenizer = AutoTokenizer.from_pretrained(
-        "csebuetnlp/banglat5", use_fast=False)
+        "models/Afsara/csebuetnlp-banglat5", use_fast=False)
 
     input_ids = tokenizer(normalize(text), return_tensors="pt").input_ids
     generated_tokens = model.generate(input_ids)
@@ -15,6 +15,6 @@ def summarize(text):
     return decoded_tokens
 
 
-gr_interface = gr.Interface("models/Afsara/fb_bart_large_cnn")
+gr_interface = gr.Interface(fn=summarize, inputs="text", outputs="text")
 
 gr_interface.launch()