fix prompt

app.py

@@ -8,7 +8,7 @@ llm = Llama(model_path="ggml-model-f16-q4_0.bin", n_ctx=2048)
 def generate_text_instruct(input_text):
     response = ""
     txt2tag_prompt = f"You are a tool that helps tag danbooru images when given a textual image description. Provide me with danbooru tags that accurately fit the following description. {input_text}"
-    for output in llm(f"A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. USER: {txt2tag_prompt} ASSISTANT: ", 
+    for output in llm(f" A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. USER: {txt2tag_prompt} ASSISTANT:", 
                       echo=False, stream=True, max_tokens=64, stop=["</s>", "\n", "User:", "<unk>"]):
         answer = output['choices'][0]['text']
         response += answer
@@ -22,7 +22,7 @@ instruct_interface = gr.Interface(
 
 with gr.Blocks() as demo:
     with gr.Tab("Instruct"):
-        gr.Markdown("# GGML Spaces Instruct Demo")
+        gr.Markdown("# GGML Booru Txt2Tag Demo")
         instruct_interface.render()
 
 demo.queue(max_size=16, concurrency_count=1).launch(debug=True)