Add pre-built frontend dist files and improved setup scripts for HF deployment

feat: include compiled frontend dist in .gitignore for HF deployment

feat: add setup_frontend script to copy pre-built frontend files to daggr installation

feat: enhance frontend builder with site-packages detection and pre-built copy functionality

feat: add diagnostic script to locate frontend directories

fix: enhance frontend directory detection and build process with improved logging and timeout adjustments

feat: add frontend_builder module to automate frontend build process

feat: add build_frontend.sh script for automatic frontend build on startup

fix: replace RuntimeError with a warning for missing frontend directory

fix: move is_file_obj_with_meta and traverse functions into executor.py

fix: move is_file_obj_with_meta function definition to server.py

fix: specify version for gradio-client in requirements.txt

fix: add networkx and httpx to requirements.txt

fix: correct indentation for huggingface_hub in requirements.txt

fix: update python_version format in README for consistency

fix: add python_version to README for clarity

Fix HF build: remove local path from requirements and add explicit deps

Preparación final para despliegue con Daggr visual

feat: migrate to uv and add daggr workflow

chore: track images with git-lfs

refactor: Clean up modal_backend and fix local entrypoint

docs: Add example image using LFS

docs: Professional README without emojis

fix: Try Gradio 4.19.2 for stability

fix: Remove gr.Progress to fix gradio_client bug

fix: Improve Modal authentication for HF Spaces

fix: Downgrade to Gradio 4.36.0 for stability

fix: Upgrade to Gradio 5.9.1 for HF Spaces compatibility

fix: Force Python 3.11 for audioop compatibility

fix: Pin gradio and huggingface_hub versions

feat: Migración a Modal + Img2Img para HF Spaces - Usa GIT para captioning y SDXL Img2Img para generación - Backend en Modal (GPUs serverless) - Documentación completa con problema, modelos y limitaciones

Fix dependency conflict: update huggingface_hub for gradio 5.16.0 compatibility

fix: Use huggingface_hub 0.24.7 with direct API (no provider system)

fix: Convert PIL.Image to bytes for InferenceClient

fix: Specify provider='hf-inference' explicitly for InferenceClient

refactor: Use InferenceClient instead of deprecated API endpoints

fix: Update to new HF API endpoint (router.huggingface.co)

fix: Pin pydantic==2.10.6 to fix Gradio 5.16 compatibility

fix: Sync Gradio version, clean deps, protect .env

Fix: Relax Pillow version to satisfy Gradio dependency

Fix: Downgrade to stable Gradio 5.16.0 and fix python-dotenv

Fix: Downgrade huggingface_hub to 0.23.5 for Gradio compatibility

Fix: Replace InferenceClient with pure requests

fix: Resolve `StopIteration` by using dedicated `InferenceClient` instances for each model and add a token debugging script.

Fix: Use dedicated InferenciaClients to avoid StopIteration error

Fix: Add dotenv support to app.py

Fix: Cargar .env y mejorar config local

Mejora UI: Barra de progreso y control de errores

Fix: Add missing pytz dependency

Force update: Estilo Acuarela Final