Update app.py

app.py

@@ -25,7 +25,6 @@ def generate_knowledge_graph(api_key, user_input):
         user_input = scrape_text_from_url(user_input)
 
     # Chamar a API da OpenAI
-    print("Chamando a API da OpenAI...")
     completion = openai.ChatCompletion.create(
         model="gpt-3.5-turbo-16k",
         messages=[
@@ -103,9 +102,6 @@ def generate_knowledge_graph(api_key, user_input):
     )
 
     response_data = completion.choices[0]["message"]["function_call"]["arguments"]
-    print(response_data)
-    print("Type of response_data:", type(response_data))
-    print("Value of response_data:", response_data)
 
     # Convert to dictionary if it's a string
     if isinstance(response_data, str):
@@ -130,12 +126,9 @@ def generate_knowledge_graph(api_key, user_input):
         dot.edge(edge["from"], edge["to"], label=edge["relationship"], color=edge.get("color", "black"))
 
     # Renderizar para o formato PNG
-    print("Renderizando o gráfico para o formato PNG...")
     image_data = dot.pipe()
     image = Image.open(io.BytesIO(image_data))
 
-    print("Gráfico gerado com sucesso!")
-
     return image
 
 # Define a title and description for the Gradio interface using Markdown
@@ -163,6 +156,4 @@ iface = gr.Interface(
 
 # Enable queueing system for multiple users
 iface.queue(concurrency_count=10)
-
-print("Iniciando a interface Gradio...")
 iface.launch()