Update app.py

app.py

@@ -43,15 +43,31 @@ examples = [
 
 HF_TOKEN = os.environ.get("HF_TOKEN")  # get token from secrets, copy token value HF_TOKEN from Profile settings token into this repo settings
 
-generator2 = gr.Interface.load("huggingface/EleutherAI/gpt-neo-2.7B")  # add api_key=HF_TOKEN to get over the quota error
-generator3 = gr.Interface.load("huggingface/EleutherAI/gpt-j-6B")
-generator1 = gr.Interface.load("huggingface/gpt2-large")
-
-gr.Parallel(
-    generator1, 
-    generator2, 
-    generator3, 
-    inputs=gr.inputs.Textbox(lines=5, label="Enter a sentence to get another sentence."),
-    title=title, 
-    examples=examples
-).launch(share=False)
+generator2 = gr.Interface.load("huggingface/EleutherAI/gpt-neo-2.7B", api_key=HF_TOKEN)
+generator3 = gr.Interface.load("huggingface/EleutherAI/gpt-j-6B", api_key=HF_TOKEN)
+generator1 = gr.Interface.load("huggingface/gpt2-large", api_key=HF_TOKEN)
+
+with gr.Blocks() as demo:
+    gr.Markdown(f"# {title}")
+    input_textbox = gr.Textbox(lines=5, label="Enter a sentence to get another sentence.")
+
+    with gr.Row():
+        gen1_output = gr.Textbox(label="GPT-2 Large Output")
+        gen2_output = gr.Textbox(label="GPT-Neo Output")
+        gen3_output = gr.Textbox(label="GPT-J Output")
+
+    def generate_outputs(input_text):
+        out1 = generator1([input_text])[0]
+        out2 = generator2([input_text])[0]
+        out3 = generator3([input_text])[0]
+        return out1, out2, out3
+
+    gr.Button("Generate").click(
+        fn=generate_outputs,
+        inputs=input_textbox,
+        outputs=[gen1_output, gen2_output, gen3_output]
+    )
+
+    gr.Examples(examples=examples, inputs=input_textbox)
+
+demo.launch(share=False)