chore: customize

README.md

@@ -1,13 +1,11 @@
 ---
-title: ChatGPT Prompt Generator
-emoji: 👨🏻‍🎤
-colorFrom: purple
-colorTo: pink
+title: prompt-generator
+emoji: 🤖
+colorFrom: yellow
+colorTo: blue
 sdk: gradio
 sdk_version: 3.16.2
 app_file: app.py
-pinned: false
-license: apache-2.0
+pinned: true
+license: mit
 ---
-
-Check out the configuration reference at <https://huggingface.co/docs/hub/spaces-config-reference>

app.py

@@ -11,8 +11,8 @@ def generate(prompt):
     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")
+input_component = gr.Textbox(label = "Input a persona, e.g. web developer", value = "prompt generator")
 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()
+examples = [["developer"], ["prompt generator"]]
+description = "This app generates ChatGPT prompts, it's based on a BART model trained on [this dataset](https://huggingface.co/datasets/njfamirm/prompt). 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 = "Prompt Generator", description=description).launch()