Gradio_UI.py

import gradio as gr
from typing import Optional
from smolagents.agent_types import AgentAudio, AgentImage, AgentText, handle_agent_output_types
from smolagents.agents import ActionStep, MultiStepAgent
from smolagents.memory import MemoryStep

class GradioUI:
    """Simplified Gradio interface for Hugging Face Spaces"""
    
    def __init__(self, agent: MultiStepAgent):
        self.agent = agent

    def launch(self):
        with gr.Blocks(title="AI Assistant", theme=gr.themes.Soft()) as demo:
            gr.Markdown("""
            # 🤖 AI Assistant
            **Capabilities:**
            - Time zone conversions
            - Weather lookups
            - Unit conversions
            - Web search
            - Image generation
            - Code execution
            """)
            
            chatbot = gr.Chatbot(
                height=500,
                avatar_images=(
                    None,
                    "https://huggingface.co/datasets/agents-course/course-images/resolve/main/en/communication/Alfred.png",
                )
            )
            
            with gr.Row():
                msg = gr.Textbox(
                    placeholder="Ask me anything...",
                    container=False,
                    scale=7
                )
                submit = gr.Button("Send", scale=1)
            
            def respond(message, chat_history):
                chat_history.append((message, ""))
                full_response = ""
                for step_log in self.agent.run(message, stream=True):
                    if isinstance(step_log, ActionStep):
                        if hasattr(step_log, 'model_output') and step_log.model_output:
                            full_response += step_log.model_output + "\n"
                        if hasattr(step_log, 'observations') and step_log.observations:
                            full_response += step_log.observations + "\n"
                
                chat_history[-1] = (message, full_response)
                return "", chat_history
            
            msg.submit(respond, [msg, chatbot], [msg, chatbot])
            submit.click(respond, [msg, chatbot], [msg, chatbot])

        demo.launch()