app.py

import gradio as gr
import requests
from PIL import Image
import io
import base64

# إعدادات API
OPENROUTER_API_URL = "https://openrouter.ai/api/v1/chat/completions" 
OPENROUTER_API_KEY = "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"  # ← استبدلها بـ API Key الخاص بك
MODEL_NAME = "Mistral: Magistral Medium 2506 (thinking)"

# تعليمات الذكاء الاصطناعي
SYSTEM_PROMPT = """
You are a professional technical analyst with 10 years of experience in financial markets.
Analyze the chart provided and answer the following:

1. What is the current trend? (Uptrend / Downtrend / Sideways)
2. Are there any key support/resistance levels?
3. What technical indicators do you see? (RSI, MACD, Bollinger Bands...)
4. Suggest a trade idea: Entry point, Stop Loss, Take Profit
5. Timeframe and Risk/Reward ratio
6. Strategy name and explanation

Answer in Arabic in a professional tone.
"""

# دالة تحويل الصورة إلى Data URI
def image_to_data_uri(img):
    buffered = io.BytesIO()
    img_format = img.format if img.format else "PNG"
    img.save(buffered, format=img_format)
    return "data:image/png;base64," + base64.b64encode(buffered.getvalue()).decode("utf-8")

# دالة التحليل
def analyze_chart(image):
    if image is None:
        return "❌ لم يتم تحميل أي صورة."

    try:
        data_uri = image_to_data_uri(image)

        response = requests.post(
            OPENROUTER_API_URL,
            headers={
                "Authorization": f"Bearer {OPENROUTER_API_KEY}",
                "Content-Type": "application/json"
            },
            json={
                "model": MODEL_NAME,
                "messages": [
                    {
                        "role": "user",
                        "content": [
                            {"type": "text", "text": SYSTEM_PROMPT},
                            {"type": "image_url", "image_url": {"url": data_uri}}
                        ]
                    }
                ],
                "max_tokens": 512
            }
        )

        result = response.json()
        return result["choices"][0]["message"]["content"]

    except Exception as e:
        return f"❌ خطأ: {str(e)}"

# واجهة Gradio
interface = gr.Interface(fn=analyze_chart, inputs=gr.Image(type="pil"), outputs="markdown")
interface.launch()