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import gradio as gr
def create_ui(generate_fn):
"""
Build a Blocks-based chat UI that returns a gr.Blocks object.
generate_fn receives a list of messages (user/assistant pairs as dicts)
and should return a reply string (this wrapper uses it as a placeholder).
"""
with gr.Blocks(css="""
body { background-color: #0b0f19; color: #e0e0e0; }
.gradio-container { font-family: 'Inter', sans-serif; max-width: 900px !important; margin: auto; }
footer { visibility: hidden; display: none; }
""") as demo:
gr.Markdown("## Nexari AI — Research Backend")
chatbot = gr.Chatbot(elem_id="nexari_chatbot", label="Nexari").style(height=500)
txt = gr.Textbox(show_label=False, placeholder="Type your message and press Enter")
state = gr.State([])
def submit(message, history):
# history is list of (human, ai) pairs in Gradio; convert to messages
messages = []
for human, ai in history:
messages.append({"role": "user", "content": human})
messages.append({"role": "assistant", "content": ai})
messages.append({"role": "user", "content": message})
# call generator wrapper (synchronous placeholder)
reply = generate_fn(messages)
# append to history
history = history + [(message, reply)]
return history, ""
txt.submit(submit, [txt, state], [chatbot, txt], queue=False)
# Also allow clicking a send button
send = gr.Button("Send")
send.click(submit, [txt, state], [chatbot, txt], queue=False)
return demo
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