Update app.py

app.py

@@ -11,9 +11,7 @@ from huggingface_hub import login
 import os
 
 token = os.environ.get("HF_TOKEN")
-print(token)
 
-openai_token=  os.environ.get("OPENAI_API_KEY")
 if token:
     login(token=token)
 else:
@@ -91,7 +89,7 @@ llm_engine = InferenceClientModel("Qwen/Qwen2.5-Coder-32B-Instruct")
 llm_engine = OpenAIServerModel(
     model_id="gpt-4o-mini",   # Exemplo: ajuste para o modelo OpenAI que deseja usar
     api_base="https://api.openai.com/v1",
-    api_key=openai_token
+    api_key=os.environ.get("OPENAI_API_KEY")
 )
 
 
@@ -182,10 +180,10 @@ def create_gradio_interface():
             with gr.Column():
                 object_name_input = gr.Textbox(label="Enter an object name", placeholder="e.g. bicycle, car, phone")
                 generate_button = gr.Button("Generate Evolution")
-                image_gallery = gr.Gallery(label="Generated Images", columns=3, rows=1, value=default_images, type="filepath")
-                gif_output = gr.Image(label="Generated GIF", value=default_gif_path, type="filepath")
-                #image_gallery = gr.Gallery(label="Generated Images", columns=3, rows=1,  type="filepath")
-                #gif_output = gr.Image(label="Generated GIF", type="filepath")
+                #image_gallery = gr.Gallery(label="Generated Images", columns=3, rows=1, value=default_images, type="filepath")
+                #gif_output = gr.Image(label="Generated GIF", value=default_gif_path, type="filepath")
+                image_gallery = gr.Gallery(label="Generated Images", columns=3, rows=1,  type="filepath")
+                gif_output = gr.Image(label="Generated GIF", type="filepath")
 
         generate_button.click(fn=generate_object_history, inputs=[object_name_input], outputs=[image_gallery, gif_output])