Update app.py

app.py

@@ -1,22 +1,20 @@
 import openai
 import gradio as gr
-from gradio.components import Textbox, Image, Label
+from gradio.components import Textbox, Image, Text
 
 # Set up OpenAI API credentials
 openai.api_key = "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"
 
-
 model_path = "models/dreamlike-art/dreamlike-photoreal-2.0"
 model_prefix = "nsfw, photoreal style"
 model = gr.Interface.load(model_path)
 
 base_prompt = "limit is 36 words"
 
-
 # Define the OpenAI prompt completion function
 def generate_text(prompt):
     response = openai.Completion.create(
-        model= "text-davinci-003",
+        model="text-davinci-003",
         prompt=f"{prompt}\n\nQ: {base_prompt}\nA:",
         max_tokens=60,
         n=1,
@@ -35,7 +33,8 @@ def generate_image(prompt):
 
 # Define the Gradio interface
 prompt_input = Textbox("Enter a prompt", lines=3)
-text_output = Label("")
+text_output = Text("Output will appear here", lines=10)
+
 image_output = Image()
 
 iface = gr.Interface(
@@ -47,11 +46,15 @@ iface = gr.Interface(
 )
 
 # Update the output boxes with the generated text and image
-def update_text_output(text, image_url):
-    text_output.text = text
-    text_output.style['font-size'] = '8px'  # Change the font size here
+def update_output(text, image_url):
+    # Get the current text in the output box
+    current_text = text_output.value
+    # Add the new text to the current text
+    new_text = current_text + "\n\n" + text
+    # Update the text output box with the new text
+    text_output.update(new_text)
 
-iface.interface_result_hooks = [update_text_output]
+iface.interface_result_hooks = [update_output]
 
 # Launch the interface
-iface.launch()
+iface.launch()