Update app.py

app.py

@@ -134,25 +134,32 @@ def generate_knowledge_graph(api_key, user_input):
 title_and_description = """
 # Instagraph - Knowledge Graph Generator
 
-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.
 
-You can input a URL to scrape text for generating the knowledge graph. Rest assured, the code is open for your inspection to ensure safety.
+**New Feature:** You can now input a URL to scrape text for generating the knowledge graph. Rest assured, the code is open for your inspection to ensure safety.
 """
 
-# 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 or URL", type="text"),
-    ],
-    outputs=gr.outputs.Image(type="pil", label="Generated Knowledge Graph"),
-    live=False,
-    title=title_and_description,
-)
+with gr.Blocks() as app:
+    gr.Markdown(title_and_description)
+    
+    with gr.Row():
+        with gr.Column():
+            result_image = gr.Image(type="pil", label="Generated Knowledge Graph")
+            
+    with gr.Row():
+        with gr.Column():
+            api_key = gr.Textbox(label="OpenAI API Key", type="password")
+            user_input = gr.Textbox(label="User Input for Graph or URL", type="text")
+            run_btn = gr.Button("Generate")
+            
+    run_btn.click(
+        generate_knowledge_graph,
+        inputs=[api_key, user_input],
+        outputs=[result_image]
+    )
 
 # Enable queueing system for multiple users
-iface.queue(concurrency_count=10)
-iface.launch()
+app.queue(concurrency_count=10)
+
+print("Iniciando a interface Gradio...")
+app.launch()