Update app.py

app.py

@@ -2,28 +2,34 @@ import gradio as gr
 import transformers as tr
 import numpy as np
 
+
+generator1 = gr.Interface.load("huggingface/gpt2-large")
+generator2 = gr.Interface.load("huggingface/EleutherAI/gpt-neo-2.7B")
+generator3 = gr.Interface.load("huggingface/EleutherAI/gpt-j-6B")
+
+
 demo = gr.Blocks()
 
 def f1(x):
-    return x[::-1]
-
+    return generator1(x)
+def f2(x):
+    return generator2(x)
 def f3(x):
-    return np.fliplr(x)
+    return generator3(x)
+
 
 with demo:
-    gr.Markdown("Flip text or image files using this demo.")
-    with gr.Tabs():
-        with gr.TabItem("Flip Text"):
-            text_input = gr.Textbox()
-            text_output = gr.Textbox()
-            text_button = gr.Button("Flip")
-        with gr.TabItem("Flip Image"):
-            with gr.Row():
-                image_input = gr.Image()
-                image_output = gr.Image()
-            image_button = gr.Button("Flip")
-
-    text_button.click(f1, inputs=text_input, outputs=text_output)
-    image_button.click(f2, inputs=image_input, outputs=image_output)
+    textIn = gr.Textbox()
+    textOut1 = gr.Textbox()
+    textOut2 = gr.Textbox()
+    textOut3 = gr.Textbox()
+
+    b1 = gr.Button("gpt2-large")
+    b2 = gr.Button("gpt-neo-2.7B")
+    b2 = gr.Button("gpt-j-6B")
+
+    b1.click(f1, inputs=textIn, outputs=textOut1 )
+    b2.click(f2, inputs=textIn, outputs=textOut2 )
+    b3.click(f3, inputs=textIn, outputs=textOut3 )
 
 demo.launch()