Update app.py

app.py

@@ -7,112 +7,102 @@ from io import BytesIO
 import io
 import base64
 
-hf_token = os.environ.get("HF_TOKEN_API_DEMO")  # نحصل عليه من متغير بيئة سري لضمان الخصوصية
-auth_headers = {"Authorization": f"Bearer {hf_token}"}  # تحديث رأس المصادقة
+# استرداد مفتاح API من متغيرات البيئة
+hf_token = os.environ.get("HF_TOKEN_API_DEMO")  # تأكد من ضبط هذا المتغير في بيئتك
+auth_headers = {"Authorization": f"Bearer {hf_token}"}  # إعداد المصادقة
 
-def convert_mask_image_to_base64_string(mask_image):
+# تحويل الصورة إلى Base64
+def convert_image_to_base64(image):
     buffer = io.BytesIO()
-    mask_image.save(buffer, format="PNG")  # يمكن اختيار التنسيق (مثل "JPEG" أو "PNG")
-    # تحويل الصورة إلى base64
-    image_base64_string = base64.b64encode(buffer.getvalue()).decode('utf-8')
-    return image_base64_string  # لا حاجة لإضافة "," هنا
+    image.save(buffer, format="PNG")  # يمكن استخدام تنسيقات أخرى مثل JPEG إذا لزم الأمر
+    return base64.b64encode(buffer.getvalue()).decode('utf-8')
 
+# تنزيل الصورة الناتجة من URL
 def download_image(url):
     response = requests.get(url)
     return Image.open(BytesIO(response.content)).convert("RGB")
 
-def eraser_api_call(image_base64_file, mask_base64_file, mask_type):
-    # تحديث الرابط ليعمل مع Gen-Fill API
-    url = "https://api.bria.ai/v1/gen-fill"
+# استدعاء Bria API باستخدام نقطة النهاية gen_fill
+def call_gen_fill_api(image, mask, api_token):
+    url = "https://engine.prod.bria-api.com/v1/gen_fill"
+    headers = {
+        "Content-Type": "application/json",
+        "Authorization": f"Bearer {api_token}",
+    }
+    
+    # تحويل الصورة والقناع إلى Base64
+    image_base64 = convert_image_to_base64(image)
+    mask_base64 = convert_image_to_base64(mask)
+    
     payload = {
-        "file": image_base64_file,
-        "mask_file": mask_base64_file,
-        "mask_type": mask_type,
+        "file": image_base64,
+        "mask_file": mask_base64,
+        "mask_type": "manual",
+        "prompt": "Erase object",
+        "negative_prompt": "",
+        "num_results": 1,
+        "sync": True,  # معالجة متزامنة للحصول على النتيجة مباشرة
+        "seed": 0,
+        "content_moderation": False
     }
-    response = requests.post(url, json=payload, headers=auth_headers)
     
+    response = requests.post(url, json=payload, headers=headers)
     if response.status_code == 200:
-        response = response.json()
-        res_image = download_image(response["result_url"])  # تحميل الصورة الناتجة
-        return res_image
+        result = response.json()
+        result_url = result.get("result_url")
+        if result_url:
+            return download_image(result_url)  # تنزيل الصورة الناتجة
+        else:
+            raise Exception("No result URL found in the response.")
     else:
         raise Exception(f"API Error: {response.status_code} - {response.text}")
 
+# دالة معالجة الصورة والقناع
 def predict(dict):
     init_image = Image.fromarray(dict['background'][:, :, :3], 'RGB')
-    mask = Image.fromarray(dict['layers'][0][:, :, 3], 'L')
-    image_base64_file = convert_mask_image_to_base64_string(init_image)
-    mask_base64_file = convert_mask_image_to_base64_string(mask)
-    mask_type = "manual"  # حدد نوع القناع
-    gen_img = eraser_api_call(image_base64_file, mask_base64_file, mask_type)
-    return gen_img
+    mask = Image.fromarray(dict['layers'][0][:, :, 3], 'L')  # القناع بتدرج الرمادي
+    
+    api_token = hf_token  # استخدم مفتاح API الخاص بك
+    if not api_token:
+        return "Error: API token is missing. Please set it in your environment variables."
+    
+    try:
+        result_image = call_gen_fill_api(init_image, mask, api_token)
+        return result_image
+    except Exception as e:
+        return f"Error: {e}"
 
+# تخصيص CSS
 css = '''
 .gradio-container{max-width: 1100px !important}
 #image_upload{min-height:400px}
 #image_upload [data-testid="image"], #image_upload [data-testid="image"] > div{min-height: 400px}
-#mask_radio .gr-form{background:transparent; border: none}
-#word_mask{margin-top: .75em !important}
-#word_mask textarea:disabled{opacity: 0.3}
-.footer {margin-bottom: 45px;margin-top: 35px;text-align: center;border-bottom: 1px solid #e5e5e5}
-.footer>p {font-size: .8rem; display: inline-block; padding: 0 10px;transform: translateY(10px);background: white}
-.dark .footer {border-color: #303030}
-.dark .footer>p {background: #0b0f19}
-.acknowledgments h4{margin: 1.25em 0 .25em 0;font-weight: bold;font-size: 115%}
-#image_upload .touch-none{display: flex}
-@keyframes spin {
-    from {
-        transform: rotate(0deg);
-    }
-    to {
-        transform: rotate(360deg);
-    }
-}
-#share-btn-container {padding-left: 0.5rem !important; padding-right: 0.5rem !important; background-color: #000000; justify-content: center; align-items: center; border-radius: 9999px !important; max-width: 13rem; margin-left: auto;}
-div#share-btn-container > div {flex-direction: row;background: black;align-items: center}
-#share-btn-container:hover {background-color: #060606}
-#share-btn {all: initial; color: #ffffff;font-weight: 600; cursor:pointer; font-family: 'IBM Plex Sans', sans-serif; margin-left: 0.5rem !important; padding-top: 0.5rem !important; padding-bottom: 0.5rem !important;right:0;}
-#share-btn * {all: unset}
-#share-btn-container div:nth-child(-n+2){width: auto !important;min-height: 0px !important;}
-#share-btn-container .wrap {display: none !important}
-#share-btn-container.hidden {display: none!important}
-#prompt input{width: calc(100% - 160px);border-top-right-radius: 0px;border-bottom-right-radius: 0px;}
 #run_button {
     width: 100%;
-    height: 50px;  /* تحديد ارتفاع ثابت للزر */
+    height: 50px;
     display: flex;
     align-items: center;
     justify-content: center;
 }
 #output-img img, #image_upload img {
-    object-fit: contain; /* الحفاظ على نسبة العرض إلى الارتفاع */
+    object-fit: contain;
     width: 100%;
-    height: auto; /* السماح بارتفاع تلقائي */
+    height: auto;
 }
-#prompt-container{margin-top:-18px;}
-#prompt-container .form{border-top-left-radius: 0;border-top-right-radius: 0}
-#image_upload{border-bottom-left-radius: 0px;border-bottom-right-radius: 0px}
 '''
 
+# إعداد واجهة Gradio
 image_blocks = gr.Blocks(css=css, elem_id="total-container")
 with image_blocks as demo:
     with gr.Column(elem_id="col-container"):
-        gr.Markdown("## BRIA Eraser API")
+        gr.Markdown("## BRIA Eraser API Integration")
         gr.HTML('''
           <p style="margin-bottom: 10px; font-size: 94%">
-            This demo showcases the BRIA Eraser capability, which allows users to remove specific elements or objects from images.<br>
-            The pipeline comprises multiple components, including <a href="https://huggingface.co/briaai/BRIA-2.3" target="_blank">briaai/BRIA-2.3</a>, 
-            <a href="https://huggingface.co/briaai/BRIA-2.3-ControlNet-Inpainting" target="_blank">briaai/BRIA-2.3-ControlNet-Inpainting</a>, 
-            and <a href="https://huggingface.co/briaai/BRIA-2.3-FAST-LORA" target="_blank">briaai/BRIA-2.3-FAST-LORA</a>, all trained on licensed data.<br>
-            This ensures full legal liability coverage for copyright and privacy infringement.<br>
+            This demo showcases the BRIA Gen-Fill API, allowing users to remove specific elements or objects from images.<br>
             Notes:<br>
-            - High-resolution images may take longer to process.<br>
-            - For multiple masks, results are better if all masks are included in inference.<br><br>
+            - For high-resolution images, processing time may be longer.<br>
+            - Ensure masks are accurate for better results.<br>
           </p>
-          <p style="margin-bottom: 10px; font-size: 94%">
-          API Endpoint available on: <a href="https://fal.ai/models/fal-ai/bria/eraser" target="_blank">fal.ai</a><br>
-          ComfyUI node is available here: <a href="https://github.com/Bria-AI/ComfyUI-BRIA-API" target="_blank">ComfyUI Node</a>
-          </p>  
         ''')
     with gr.Row():
         with gr.Column():
@@ -120,11 +110,10 @@ with image_blocks as demo:
                 sources=["upload"],
                 layers=False,
                 transforms=[], 
-                brush=gr.Brush(colors=["#000000"], color_mode="fixed"),  # اللون الأسود كخيار ثابت
+                brush=gr.Brush(colors=["#000000"], color_mode="fixed"),  # اللون الأسود كخيار فرشاة
             )
-            with gr.Row(elem_id="prompt-container", equal_height=True):
-                with gr.Column():  # التفاف الزر داخل عمود
-                    btn = gr.Button("Erase!", elem_id="run_button")
+            with gr.Row(equal_height=True):
+                btn = gr.Button("Erase!", elem_id="run_button")
         
         with gr.Column():
             image_out = gr.Image(label="Output", elem_id="output-img")
@@ -135,8 +124,7 @@ with image_blocks as demo:
     gr.HTML(
         """
             <div class="footer">
-                <p>Model by <a href="https://huggingface.co/diffusers" style="text-decoration: underline;" target="_blank">Diffusers</a> - Gradio Demo by 🤗 Hugging Face
-                </p>
+                <p>Powered by BRIA API - Gradio Demo by Hugging Face</p>
             </div>
         """
     )