Update app.py

app.py

@@ -124,9 +124,9 @@ tbOutput = gr.Textbox(label="GPT Output")
 #model_1_iface = gr.Interface(    fn=your_function_1,    inputs=gr.inputs.Textbox(),    outputs=gr.outputs.Label(num_top_classes=10))
 #model_2_iface = gr.Interface(    fn= your_function_2,    inputs=gr.inputs.Textbox(),    outputs=gr.outputs.Label(num_top_classes=10),)
 
-#generator1 = gr.Interface(fn=persist_memory,inputs=gr.inputs.Textbox(),outputs=gr.outputs.Label(num_top_classes=10) ).load("huggingface/gpt2-large",api_key=HF_TOKEN)
-OutputsGen=gr.outputs.Label(num_top_classes=10) 
-generator1 = gr.Interface(fn=persist_memory,inputs=[OutputsGen, OutputsGen],outputs=OutputsGen).load("huggingface/gpt2-large",api_key=HF_TOKEN)
+generator1 = gr.Interface(fn=persist_memory,inputs=gr.inputs.Textbox(),outputs=gr.outputs.Label(num_top_classes=10) ).load("huggingface/gpt2-large",api_key=HF_TOKEN)
+#OutputsGen=gr.outputs.Label(num_top_classes=10) 
+#generator1 = gr.Interface(fn=persist_memory,inputs=[OutputsGen, OutputsGen],outputs=OutputsGen).load("huggingface/gpt2-large",api_key=HF_TOKEN)
 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)