Update app.py

app.py

@@ -8,6 +8,10 @@ import io
 def generate_knowledge_graph(api_key, user_input):
     openai.api_key = api_key
 
+    # Ensure both API key and user input are provided
+    if not api_key or not user_input:
+        raise ValueError("Please provide both the OpenAI API Key and User Input")
+
     # Chamar a API da OpenAI
     print("Chamando a API da OpenAI...")
     completion = openai.ChatCompletion.create(
@@ -122,15 +126,31 @@ def generate_knowledge_graph(api_key, user_input):
 
     return image
 
+# Define a title and description for the Gradio interface using Markdown
+title_and_description = """
+# Instagraph - Knowledge Graph Generator
+
+**Created by [ArtificialGuyBR](https://twitter.com/ArtificialGuyBR)**
+
+This interactive knowledge graph generator is inspired by [this GitHub project](https://github.com/yoheinakajima/instagraph/).
+
+Enter your OpenAI API Key and a question, and let the AI create a detailed knowledge graph for you.
+"""
+
+# Create the Gradio interface with queueing enabled and concurrency_count set to 10
 iface = gr.Interface(
     fn=generate_knowledge_graph,
     inputs=[
         gr.inputs.Textbox(label="OpenAI API Key", type="password"),
-        gr.inputs.Textbox(label="User Input for Graph"),
+        gr.inputs.Textbox(label="User Input for Graph", type="text"),
     ],
     outputs=gr.outputs.Image(type="pil", label="Generated Knowledge Graph"),
     live=False,
+    title=title_and_description,
 )
 
+# Enable queueing system for multiple users
+iface.queue(concurrency_count=10)
+
 print("Iniciando a interface Gradio...")
-iface.launch()
+iface.launch()