Update app.py

app.py

@@ -106,8 +106,8 @@ def generate_html() -> str:
 #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.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)
+#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)
 
 #MemoryChange=tbOutput.change(persist_memory,inputs=[tbOutput],outputs=gr.Textbox(label="PersistMemoryOutput"))
 SplitterInputBox = gr.inputs.Textbox(lines=5, label="Enter a sentence to get another sentence.")
@@ -120,7 +120,7 @@ def AIMemory(name: str, message: str):
         commit_url = repo.push_to_hub()
     return {"name": name, "message": message, "time": str(datetime.now())}
     
-with gradio.Blocks() as Memory:
+with gr.Blocks() as Memory:
 
 #parallelModel = gr.Parallel(generator1, generator2, generator3, inputs = SplitterInputBox, examples=examples,
 #            title="Mindfulness Story Generation with Persistent Dataset Memory",