app.py

import gradio as gr
from groq import Groq
import os
from PIL import Image

API_KEY = "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"
client = Groq(api_key=API_KEY)

# مسار لحفظ الصور المرفوعة
UPLOAD_FOLDER = "./uploaded_images"
os.makedirs(UPLOAD_FOLDER, exist_ok=True)

# صورة رمزية للبوت
BOT_AVATAR = "https://shfra.netlify.app/9121959e-df49-4796-a8b2-eb85f6368976.png"

def save_and_process_image(image_path):
    """حفظ الصورة المرفوعة ومعالجتها"""
    image = Image.open(image_path)
    saved_image_path = os.path.join(UPLOAD_FOLDER, os.path.basename(image_path))
    image.save(saved_image_path)
    return saved_image_path

def chat_with_gpt(user_input, history, image):
    history = history or []
    messages = [
        {"role": "system", "content": "Your name is shfraAI, helpful AI assistant that can answer questions about images. You can analyze images and provide detailed descriptions and answers based on their content.Developed by hcoding."},
        {"role": "user", "content": user_input}
    ]
    
    # معالجة الصورة إذا تم رفعها
    if image:
        saved_image_path = save_and_process_image(image)
        messages.append({"role": "user", "content": f"![Uploaded Image]({saved_image_path})"})
        image_html = f"<img src='{saved_image_path}' style='max-width: 200px; max-height: 200px;'>"
        history.append(("User uploaded an image:", image_html))
    
    # استدعاء نموذج الذكاء الاصطناعي
    completion = client.chat.completions.create(
        model="llama-3.3-70b-versatile",
        messages=messages,
        temperature=1,
        max_tokens=1024,
        top_p=1,
        stream=True,
        stop=None,
    )
    
    # تجميع الرد من البوت
    response = ""
    for chunk in completion:
        if chunk.choices[0].delta.content:
            response += chunk.choices[0].delta.content
    
    # تحديث السجل مع عرض صورة رمزية للبوت
    history.append((f"You: {user_input}", None))  # رسالة المستخدم
    history.append((None, f"<img src='{BOT_AVATAR}' style='width: 50px; border-radius: 50%;'> {response}"))  # رسالة البوت
    
    return history, history, None  # إعادة تعيين الحقل الخاص بالصورة إلى None

with gr.Blocks() as demo:
    with gr.Row():
        chatbot = gr.Chatbot(label="shfraAI Chat", elem_id="chatbox")
    with gr.Row():
        user_input = gr.Textbox(label="Input", placeholder="Type your message here...", scale=5)
        submit_button = gr.Button("Send")
    with gr.Row():
        image_input = gr.Image(label="Choose Image", type="filepath")

    state = gr.State()  # لتخزين التاريخ

    # حدث زر الإرسال
    submit_button.click(chat_with_gpt, inputs=[user_input, state, image_input], outputs=[chatbot, state, image_input])

demo.launch()