app.py

import io
import json
import base64
from pathlib import Path

import gradio as gr
import plotly.graph_objects as go
from PIL import Image
from openai import OpenAI


SYSTEM_PROMPT = """
You are OmniGen AI.

Choose exactly one response mode and return valid JSON only.

For normal requests:
{"type":"text","content":"<helpful answer>"}

For image-worthy requests:
{"type":"image","prompt":"<clear, detailed image prompt>"}

For chart/data-viz requests:
{"type":"chart","title":"<chart title>","data":[{"x":[...],"y":[...],"label":"<series name>"}]}

Rules:
- Return JSON only.
- Choose exactly one type.
- Prefer text unless an image or chart is clearly better.
- For charts, provide concise but usable demo data when exact data is not supplied.
- Do not use markdown fences.
"""


def load_css():
    css_file = Path("style.css")
    if css_file.exists():
        return css_file.read_text(encoding="utf-8")
    return ""


CUSTOM_CSS = load_css()


def build_messages(history, user_msg):
    messages = [{"role": "system", "content": SYSTEM_PROMPT}]
    for user_text, assistant_text in history:
        messages.append({"role": "user", "content": user_text})
        messages.append({"role": "assistant", "content": assistant_text})
    messages.append({"role": "user", "content": user_msg})
    return messages


def make_client(api_key):
    if not api_key or not api_key.strip():
        raise gr.Error("Please enter your OpenAI API key.")
    return OpenAI(api_key=api_key.strip())


def route_request(client, messages):
    response = client.chat.completions.create(
        model="gpt-4.1",
        messages=messages,
        temperature=0.5,
        response_format={"type": "json_object"},
    )
    content = response.choices[0].message.content or ""
    try:
        return json.loads(content)
    except json.JSONDecodeError as exc:
        raise gr.Error(f"Model returned invalid JSON: {exc}") from exc


def generate_image(client, prompt):
    image_response = client.images.generate(
        model="gpt-image-1",
        prompt=prompt,
        size="1024x1024",
    )

    image_b64 = image_response.data[0].b64_json
    if not image_b64:
        raise gr.Error("Image generation failed: no image data returned.")

    image_bytes = base64.b64decode(image_b64)
    return Image.open(io.BytesIO(image_bytes))


def build_chart(chart_payload):
    data = chart_payload.get("data", [])
    if not isinstance(data, list) or not data:
        raise gr.Error("Chart generation failed: missing or invalid data series.")

    fig = go.Figure()

    for series in data:
        x_vals = series.get("x", [])
        y_vals = series.get("y", [])
        label = series.get("label", "Series")

        fig.add_trace(
            go.Scatter(
                x=x_vals,
                y=y_vals,
                mode="lines+markers",
                name=label,
            )
        )

    fig.update_layout(
        title=chart_payload.get("title", "Generated Chart"),
        template="plotly_white",
        margin=dict(l=40, r=40, t=60, b=40),
    )
    return fig


def respond(api_key, user_msg, history):
    history = history or []

    if not user_msg or not user_msg.strip():
        raise gr.Error("Please enter a prompt.")

    clean_user_msg = user_msg.strip()
    client = make_client(api_key)
    messages = build_messages(history, clean_user_msg)
    routed = route_request(client, messages)

    result_type = routed.get("type")
    image_value = None
    chart_value = None

    if result_type == "text":
        text = (routed.get("content") or "").strip()
        if not text:
            text = "No text was generated."
        history.append([clean_user_msg, text])

    elif result_type == "image":
        prompt = (routed.get("prompt") or "").strip()
        if not prompt:
            raise gr.Error("Image mode was selected, but no prompt was returned.")
        image_value = generate_image(client, prompt)
        history.append([clean_user_msg, f"Generated an image for: {prompt}"])

    elif result_type == "chart":
        chart_value = build_chart(routed)
        title = routed.get("title", "Generated Chart")
        history.append([clean_user_msg, f"Generated chart: {title}"])

    else:
        raise gr.Error(f"Unsupported response type: {result_type}")

    return history, history, image_value, chart_value, ""


with gr.Blocks(css=CUSTOM_CSS) as demo:
    gr.Markdown(
        """
# 🧠 OmniGen AI Studio
Generate text, images, or charts from a single prompt using GPT-4.1.
"""
    )

    api_key = gr.Textbox(
        label="OpenAI API Key",
        type="password",
        placeholder="sk-...",
    )

    chatbot = gr.Chatbot(label="Conversation", height=420)

    with gr.Row():
        user_msg = gr.Textbox(
            label="Your Prompt",
            placeholder="Ask for a product description, an image concept, or a simple chart...",
            scale=5,
        )
        send_btn = gr.Button("Generate", variant="primary")

    with gr.Row():
        image_out = gr.Image(label="Generated Image", type="pil")
        chart_out = gr.Plot(label="Generated Chart")

    history_state = gr.State([])

    send_btn.click(
        fn=respond,
        inputs=[api_key, user_msg, history_state],
        outputs=[chatbot, history_state, image_out, chart_out, user_msg],
    )

    user_msg.submit(
        fn=respond,
        inputs=[api_key, user_msg, history_state],
        outputs=[chatbot, history_state, image_out, chart_out, user_msg],
    )


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