import gradio as gr
from openai import OpenAI
import base64
import io

def solve_stem_problem(api_key, image, subject):
    if api_key.strip() == "":
        return "❌ Error: API key is required."

    detectives = {
        "math": "Algebra Ace",
        "physics": "Physics Phantom",
        "chemistry": "Chemistry Clue-finder",
        "coding": "Code Cracker"
    }
    detective = detectives.get(subject, "Algebra Ace")

    try:
        # Convert PIL Image to base64
        buffered = io.BytesIO()
        image_format = "PNG"
        image.save(buffered, format=image_format)
        encoded_image = base64.b64encode(buffered.getvalue()).decode('utf-8')
        image_url_data = f"data:image/png;base64,{encoded_image}"
    except Exception as e:
        return f"❌ Error encoding image: {str(e)}"

    try:
        client = OpenAI(
            base_url="https://openrouter.ai/api/v1",
            api_key=api_key,
        )

        completion = client.chat.completions.create(
            extra_headers={
                "HTTP-Referer": "https://stem-sleuth.example.com",
                "X-Title": "STEM Sleuth",
            },
            model="google/gemini-2.0-flash-exp:free",
            messages=[
                {
                    "role": "user",
                    "content": [
                        {
                            "type": "text",
                            "text": f"Act as {detective} and solve this {subject} problem step-by-step with a detective narrative."
                        },
                        {
                            "type": "image_url",
                            "image_url": {"url": image_url_data}
                        }
                    ]
                }
            ]
        )

        if completion.choices and len(completion.choices) > 0:
            return completion.choices[0].message.content
        else:
            return "⚠️ Could not retrieve a solution from the API."

    except Exception as e:
        return f"❌ API call failed: {str(e)}"

# Launch Gradio Interface
iface = gr.Interface(
    fn=solve_stem_problem,
    inputs=[
        gr.Textbox(label="🔐 OpenRouter API Key", type="password"),
        gr.Image(label="🖼️ Upload STEM Problem Image", type="pil"),
        gr.Dropdown(["math", "physics", "chemistry", "coding"], label="📚 Select Subject")
    ],
    outputs=gr.Textbox(label="🕵️‍♂️ Detective's Solution"),
    title="🧠 STEM Sleuth Solver",
    description="Upload a math, physics, chemistry, or coding problem image and solve it with a detective twist using OpenRouter Gemini model."
)

iface.launch()