Update app.py

app.py

@@ -12,10 +12,11 @@ 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,
@@ -34,19 +35,9 @@ def generate_image(prompt):
 
 # Define the Gradio interface
 prompt_input = Textbox("Enter a prompt", lines=3)
-text_output = Label("Generated text will appear here.")
+text_output = Label("")
 image_output = Image()
 
-# Initialize a variable to store the previous messages
-previous_messages = ""
-
-def update_text_output(text, image_url):
-    global previous_messages
-    # Concatenate the generated text with the previous messages
-    previous_messages += "\n" + text
-    # Set the text of the output Label to the concatenated string
-    text_output.text = previous_messages
-
 iface = gr.Interface(
     generate_image,
     inputs=prompt_input,
@@ -55,7 +46,12 @@ 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()