Update app.py

app.py

@@ -8,7 +8,7 @@ from langchain.agents import AgentExecutor
 
 from langchain.schema import HumanMessage, AIMessage
 
-import gradio as gr
+import gradio
 
 api_key = os.getenv('OPENAI_API_KEY')
 extractor_agent = os.getenv('ASSISTANT_ID_SOLUTION_SPECIFIER_A')
@@ -33,10 +33,6 @@ def predict(message, history):
     non_cited_output = remove_citation(output)
     return non_cited_output
 
-# Create a Gradio Blocks interface
-with gr.Blocks() as interface:
-    gr.Markdown("Click [here](https://www.google.com) to visit Google.")
-    chat = gr.ChatInterface(predict, title="Solution Specifier A", description="testing for the time being")
-    chat.render()  # Render the ChatInterface inside Blocks
-
-interface.launch(share=True)
+gradio.Markdown("Click [here](https://www.google.com) to visit Google.")
+chat = gradio.ChatInterface(predict, title="Solution Specifier A", description="testing for the time being")
+chat.launch(share=True)