Update app.py

app.py

@@ -8,25 +8,21 @@ pipe = pipeline(
     tokenizer="gpt2"
 )
 
-# Initialize a list to store the history of generated prompts
-history = []
-
-# Function to generate text based on input prompt and record the history
+# Function to generate text based on input prompt
 def generate_text(prompt):
-    generated_text = pipe(prompt, max_length=77)[0]["generated_text"]
-    # Append the generated prompt and its result to the history list
-    history.append({"prompt": prompt, "generated_text": generated_text})
-    return generated_text
+    # Generate multiple outputs for the same prompt
+    generated_texts = [pipe(prompt, max_length=77)[0]["generated_text"] for _ in range(5)]
+    return generated_texts
 
-# Create a Gradio interface with history recording
+# Create a Gradio interface
 iface = gr.Interface(
     fn=generate_text,
     inputs=gr.Textbox(lines=5, label="Prompt"),
-    outputs=gr.Textbox(label="Output", show_copy_button=True),
+    outputs=[gr.Textbox(label=f"Output {i+1}", readonly=True, multiline=True) for i in range(5)],
     title="AI Art Prompt Generator",
-    description="Art Prompt Generator is a user-friendly interface designed to optimize input for AI Art Generator or Creator. For faster generation speeds, it's recommended to load the model locally with GPUs, as the online demo at Hugging Face Spaces utilizes CPU, resulting in slower processing times.",
-    api_name="predict"
+    description="This tool generates multiple outputs for a given prompt using the AI Art Prompt Generator model.",
+    allow_flagging=False
 )
 
 # Launch the interface
-iface.launch(show_api=True)
+iface.launch()