Update app.py

app.py

@@ -42,13 +42,21 @@ def generate(prompt):
       response = generated_text.strip()
       yield response
 
-with gr.Blocks() as demo:
+with gr.Blocks(css="#prompt_textbox textarea {color: blue}") as demo:
   gr.Markdown("""
   # GPT2 Amharic
-  This is a demo for a smaller version of the gpt2 decoder transformer model pretrained for 1.5 days on `290 million` tokens of **Amharic** text. The context size of `gpt2-small-amharic` is 128 tokens.
+  This is a demo for a smaller version of the gpt2 decoder transformer model pretrained for 1.5 days on `290 million` tokens of **Amharic** text. The context size of [gpt2-small-amharic](https://huggingface.co/rasyosef/gpt2-small-amharic-128-v3) is 128 tokens. This is a base model and hasn't undergone any supervised finetuing yet.
+
+  Please **enter a prompt** and click the **Generate** button to generate completions for the prompt.
+  #### Text generation parameters:
+  - `temperature` : **0.8**
+  - `do_sample` : **True**
+  - `top_k` : **8**
+  - `top_p` : **0.8**
+  - `repetition_penalty` : **1.25**
   """)
 
-  prompt = gr.Textbox(label="Prompt", placeholder="Enter prompt here", lines=4, interactive=True)
+  prompt = gr.Textbox(label="Prompt", placeholder="Enter prompt here", lines=4, interactive=True, elem_id="prompt_textbox")
   with gr.Row():
     with gr.Column():
       gen = gr.Button("Generate")