app.py

import gradio as gr
from agent import run_agent
from image_gen import generate_image

def run_text(mode, prompt):
    return run_agent(mode, prompt)

with gr.Blocks(title="Multimodal AI Agent (HF only)") as demo:
    gr.Markdown("## Multimodal Agent (Text, Research, Coding, Image) — No API keys")

    with gr.Tab("Text / Writing"):
        inp = gr.Textbox(lines=6, label="Task")
        out = gr.Textbox(lines=12, label="Output")
        btn = gr.Button("Run")
        btn.click(lambda x: run_text("text", x), inp, out)

    with gr.Tab("Research"):
        inp_r = gr.Textbox(lines=6, label="Research topic")
        out_r = gr.Textbox(lines=16, label="Notes")
        btn_r = gr.Button("Analyze")
        btn_r.click(lambda x: run_text("research", x), inp_r, out_r)

    with gr.Tab("Coding"):
        inp_c = gr.Textbox(lines=6, label="Coding task")
        out_c = gr.Textbox(lines=16, label="Code")
        btn_c = gr.Button("Generate")
        btn_c.click(lambda x: run_text("coding", x), inp_c, out_c)

    with gr.Tab("Image generation"):
        inp_i = gr.Textbox(lines=2, label="Prompt")
        out_i = gr.Image(label="Generated image")
        btn_i = gr.Button("Generate image")
        btn_i.click(generate_image, inp_i, out_i)

if __name__ == "__main__":
    demo.launch()