Update app.py

app.py

@@ -59,12 +59,38 @@ def get_image(url):
 def main():
   prompt = "Hello world, I'm vizard,"
   
-  ui = gr.Interface.from_pipeline(
-      get_text_summarizer_pipeline(),
-      title="OneTitle",
-      description="OneDesc",
-      examples=['one.png', 'two.png', 'three.jpeg'],
-    )
+  gpt2_pipe = get_gpt2_pipeline()
+  def greet(prompt):
+    return gpt2_pipe(prompt, max_length=1000, num_return_sequences=3)
+  
+  with gr.Blocks() as ui:
+    with gr.Row():
+        with gr.Column():
+            gpt_int = gr.Interface(
+              fn=greet,
+              inputs=gr.Textbox(lines=2, placeholder="Enter some text here..."),
+              outputs="text",
+              title="GPT2",
+              description="OneDesc",
+            )
+    with gr.Row():
+        with gr.Column():
+            gpt_int2 = gr.Interface(
+              fn=greet,
+              inputs=gr.Textbox(lines=2, placeholder="Enter some text here..."),
+              outputs="text",
+              title="GPT2",
+              description="OneDesc",
+            )
+    gr.Examples(['one.png', 'two.png', 'three.jpeg'])
+    
+  
+  # ui = gr.Interface.from_pipeline(
+  #    get_text_summarizer_pipeline(),
+  #    title="OneTitle",
+  #    description="OneDesc",
+  #    examples=['one.png', 'two.png', 'three.jpeg'],
+  #  )
   ui.launch(enable_queue=True)
   
   # pipe = pipeline(task="image-classification", model="microsoft/dit-base-finetuned-rvlcdip")