Update app.py

app.py

@@ -7,12 +7,31 @@ description = "Gradio Demo for BART, to use it, simply add your text, or click o
 article = "<p style='text-align: center'><a href='https://arxiv.org/abs/1910.13461' target='_blank'>BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension</a></p>"
 
 examples = [
-    ["I have a problem with my iphone that needs to be resolved asap!!","urgent, not urgent, phone, tablet, computer",True]
+    ["I have a problem with my iphone that needs to be resolved asap!!","bart-large-mnli","urgent, not urgent, phone, tablet, computer",False]
 ]
 
-gr.Interface.load("huggingface/facebook/bart-large-mnli").launch()
-
-gr.Interface.load("huggingface/facebook/facebook/bart-large-cnn").launch()
+io1 = gr.Interface.load("huggingface/facebook/bart-large-mnli")
+
+io2 = gr.Interface.load("huggingface/facebook/facebook/bart-large-cnn")
+
+def inference(text, model,class_names,allow_multiple):
+    if model == "bart-large-mnli":
+        outlabel = io1(text,class_names,allow_multiple)
+        outtext = ""
+    else:
+        outtext = io2(text)
+        outlabel = {}
+    return outlabel, outtext   
+     
+
+gr.Interface(
+    inference, 
+    [gr.inputs.Textbox(label="Input",lines=10),gr.inputs.Dropdown(choices=["bart-large-mnli","bart-large-cnn"], type="value", default="bart-large-mnli", label="model"),gr.inputs.Textbox(label="Possible class names (comma-separated)"),gr.inputs.Checkbox(default=False, label="Allow multiple true classes")], 
+    ["label","textbox"],
+    examples=examples,
+    article=article,
+    title=title,
+    description=description).launch(enable_queue=True, cache_examples=True)