Update app.py

app.py

@@ -5,7 +5,6 @@ tokenizer = AutoTokenizer.from_pretrained("merve/chatgpt-prompts-bart-long")
 model = AutoModelForSeq2SeqLM.from_pretrained("merve/chatgpt-prompts-bart-long", from_tf=True)
 
 def generate(prompt):
-
     batch = tokenizer(prompt, return_tensors="pt")
     generated_ids = model.generate(batch["input_ids"], max_new_tokens=150)
     output = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)
@@ -15,6 +14,13 @@ input_component = gr.Textbox(label = "Input a persona, e.g. photographer", value
 output_component = gr.Textbox(label = "Prompt")
 examples = [["photographer"], ["developer"]]
 description = "This app generates ChatGPT prompts, it's based on a BART model trained on [this dataset](https://huggingface.co/datasets/fka/awesome-chatgpt-prompts). 📓 Simply enter a persona that you want the prompt to be generated based on. 🧙🏻🧑🏻‍🚀🧑🏻‍🎨🧑🏻‍🔬🧑🏻‍💻🧑🏼‍🏫🧑🏽‍🌾"
-gr.Interface(generate, inputs = input_component, outputs=output_component, examples=examples, title = "👨🏻‍🎤 ChatGPT Prompt Generator 👨🏻‍🎤", description=description).launch()
-
 
+gr.Interface(
+    generate, 
+    inputs = input_component, 
+    outputs = output_component, 
+    examples = examples, 
+    title = "👨🏻‍🎤 ChatGPT Prompt Generator 👨🏻‍🎤", 
+    description = description,
+    theme = "ParityError/Interstellar"  # Ihr spezifiziertes Theme
+).launch()