Create app.py

app.py

@@ -0,0 +1,18 @@
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+import gradio as gr
+
+tokenizer = AutoTokenizer.from_pretrained("merve/chatgpt-prompts-bart-long")
+model = AutoModelForSeq2SeqLM.from_pretrained("merve/chatgpt-prompts-bart-long")
+
+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)
+    return output[0]
+
+input_component = gr.Textbox(label = "Input a persona, e.g. photographer", value = "photographer")
+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, output=output_component, title = "ChatGPT Prompt Generator", description=description).launch()