Update app.py

app.py

@@ -1,6 +1,6 @@
 import openai
 import gradio as gr
-from gradio.components import Textbox, Image, Label
+from gradio.components import Textbox, Image, Textarea
 
 # Set up OpenAI API credentials
 openai.api_key = "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"
@@ -12,11 +12,10 @@ 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,
@@ -35,9 +34,13 @@ def generate_image(prompt):
 
 # Define the Gradio interface
 prompt_input = Textbox("Enter a prompt", lines=3)
-text_output = Label("")
+text_output = Textarea("", placeholder="Generated text will appear here.", rows=5)
 image_output = Image()
 
+def update_text_output(text, image_url):
+    # Append the generated text to the existing value of the output textbox
+    text_output.value += "\n" + text
+
 iface = gr.Interface(
     generate_image,
     inputs=prompt_input,
@@ -46,12 +49,7 @@ iface = gr.Interface(
     description="Generates an image based on a prompt using OpenAI's GPT-3 and DALL-E models."
 )
 
-# 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
-
 iface.interface_result_hooks = [update_text_output]
 
 # Launch the interface
-iface.launch()
+iface.launch()