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# gradio_generator.py - Wraps robot behavior and simulator into Gradio interface
import gradio as gr
from deployer.simulator_interface import VirtualRobot
# The logic that interprets voice or text and maps it to robot actions
def robot_behavior(user_input: str):
bot = VirtualRobot()
user_input = user_input.lower().strip()
if any(greet in user_input for greet in ["hello", "hi", "hey", "welcome"]):
return bot.perform_action("wave") + "\n" + bot.perform_action("say Hello there!")
elif user_input.startswith("say"):
return bot.perform_action(user_input)
else:
return bot.perform_action("say I didn't understand that. Try again!")
# Generate Gradio app dynamically
def launch_gradio_app(title="RoboSage App", description="Your robot, your voice."):
with gr.Blocks() as demo:
gr.Markdown(f"""# 🤖 {title}
{description}
""")
with gr.Row():
inp = gr.Textbox(label="Speak or Type")
out = gr.Textbox(label="Robot Response")
btn = gr.Button("Send")
btn.click(robot_behavior, inputs=inp, outputs=out)
return demo
# For testing
if __name__ == "__main__":
app = launch_gradio_app()
app.launch()
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