modified: app.py

new file: "requirements.txt\303\247"

app.py

@@ -1,7 +1,112 @@
+import os
 import gradio as gr
+import logging
+from datetime import datetime
+from dotenv import load_dotenv
 
-def greet(name):
-    return "Hello " + name + "!!"
+# Cargar variables de entorno
+load_dotenv()
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+# Configuración inicial
+logging.basicConfig(filename='art_transformer.log', level=logging.INFO)
+logger = logging.getLogger(__name__)
+
+# Importaciones internas
+from image_processor.analyzer import ImageAnalyzer
+from image_processor.framer import FrameGenerator
+from image_processor.priority_queue import PriorityQueue
+from image_processor.google_auth import GooglePhotosAuth
+from image_processor.monitoring import ResourceMonitor
+
+class ArtTransformer:
+    def __init__(self):
+        self.openai_key = os.getenv("OPENAI_API_KEY")
+        self.analyzer = ImageAnalyzer()
+        self.framer = FrameGenerator(self.openai_key)
+        self.auth = GooglePhotosAuth()
+        self.queue = PriorityQueue()
+        self.monitor = ResourceMonitor(interval=15)
+        self.current_job = None
+
+    def process_album(self, image_paths, priority=2, progress=gr.Progress()):
+        try:
+            self.monitor.start()
+            
+            # Autenticación con Google Photos
+            credentials = self.auth.authenticate()
+            
+            # Configurar cola de prioridad
+            for idx, path in enumerate(image_paths):
+                self.queue.add_task(priority + idx/1000, path)
+            
+            results = []
+            total = len(image_paths)
+            
+            while not self.queue.is_empty():
+                if self.current_job and self.current_job.is_alive():
+                    yield gr.Gallery(visible=True), f"⏳ Procesando {self.current_job.name}..."
+                
+                next_path = self.queue.get_next_task()
+                self.current_job = threading.Thread(
+                    target=self._process_single_image,
+                    args=(next_path, results, progress),
+                    name=f"Job-{datetime.now().strftime('%H%M%S')}"
+                )
+                self.current_job.start()
+                self.current_job.join()
+
+            return self._build_output(results), "✅ Proceso completado!"
+        
+        except Exception as e:
+            logger.error(f"Error general: {str(e)}")
+            return None, f"❌ Error crítico: {str(e)}"
+        
+        finally:
+            self.monitor.stop()
+
+def create_interface():
+    with gr.Blocks(title="Art Transformer", theme=gr.themes.Soft()) as demo:
+        gr.Markdown("# 🎨 Transformador Artístico Automático")
+        
+        with gr.Row():
+            with gr.Column(scale=1):
+                api_key = gr.Textbox(
+                    label="OpenAI API Key",
+                    type="password",
+                    placeholder="sk-...",
+                    info="Necesario para generar marcos"
+                )
+                priority = gr.Dropdown(
+                    label="Prioridad",
+                    choices=[("Alta", 0), ("Media", 1), ("Baja", 2)],
+                    value=1
+                )
+                btn_run = gr.Button("Iniciar Procesamiento", variant="primary")
+            
+            with gr.Column(scale=3):
+                gallery = gr.Gallery(
+                    label="Resultados",
+                    columns=4,
+                    height="auto",
+                    object_fit="contain"
+                )
+                status = gr.Textbox(label="Estado", interactive=False)
+        
+        inputs = gr.File(
+            file_count="multiple",
+            file_types=["image"],
+            label="Subir imágenes"
+        )
+        
+        btn_run.click(
+            fn=ArtTransformer().process_album,
+            inputs=[inputs, priority],
+            outputs=[gallery, status]
+        )
+    
+    return demo
+
+if __name__ == "__main__":
+    demo = create_interface()
+    demo.queue(concurrency_count=2, max_size=10)
+    demo.launch(server_name="0.0.0.0", server_port=7860)

requirements.txtç

@@ -0,0 +1,13 @@
+--extra-index-url https://download.pytorch.org/whl/cu121
+torch==2.1.2+cu121
+transformers==4.36.2
+gradio==4.13.0
+openai==1.12.0
+pillow==10.1.0
+python-dotenv==1.0.0
+google-auth-oauthlib==1.2.0
+google-auth-httplib2==0.2.0
+gpustat==1.1
+pyyaml==6.0.1
+tqdm==4.66.1
+psutil==5.9.7