Update app.py

app.py

@@ -8,7 +8,7 @@ from langchain.agents import AgentExecutor
 
 from langchain.schema import HumanMessage, AIMessage
 
-import gradio
+import gradio as gr
 
 api_key = os.getenv('OPENAI_API_KEY')
 extractor_agent = os.getenv('ASSISTANT_ID_SOLUTION_SPECIFIER_A')
@@ -33,6 +33,10 @@ 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
 
-chat = gradio.ChatInterface(predict, title="Solution Specifier A", description="testing for the time being")
-chat.launch(share=True)
+interface.launch(share=True)