cambios realizados para despligue con docker en Huggingface

.dockerignore

@@ -0,0 +1,36 @@
+# Git
+.git
+.gitattributes
+.gitignore
+
+# Python
+__pycache__
+*.pyc
+*.pyo
+*.egg-info
+.venv
+venv
+env
+
+# IDE
+.vscode
+.idea
+*.swp
+*.swo
+
+# Local databases (fresh on each deploy)
+*.db
+
+# Jupyter
+*.ipynb
+.ipynb_checkpoints
+
+# Misc
+*.log
+*.csv
+*.zip
+.env
+.env.*
+packages.txt
+LICENSE
+README.md

.streamlit/config.toml

@@ -1,9 +1,10 @@
 [server]
 headless = true
-port = 8501
+port = 7860
+address = "0.0.0.0"
 enableCORS = false
+enableXsrfProtection = false
 maxUploadSize = 50
-enableXsrfProtection = true
 
 [browser]
 gatherUsageStats = false

Dockerfile

@@ -0,0 +1,44 @@
+# ── OphthalmoCapture – Hugging Face Spaces (Docker + Streamlit) ──────────────
+FROM python:3.10-slim
+
+# ── System dependencies ──────────────────────────────────────────────────────
+RUN apt-get update && apt-get install -y --no-install-recommends \
+        ffmpeg \
+        build-essential \
+        git \
+    && rm -rf /var/lib/apt/lists/*
+
+# ── Non-root user (HF Spaces requirement) ───────────────────────────────────
+RUN useradd -m -u 1000 user
+ENV HOME=/home/user \
+    PATH=/home/user/.local/bin:$PATH
+
+WORKDIR $HOME/app
+
+# ── Python dependencies ──────────────────────────────────────────────────────
+COPY --chown=user requirements.txt .
+USER user
+RUN pip install --no-cache-dir --upgrade pip && \
+    pip install --no-cache-dir -r requirements.txt
+
+# ── Pre-download Whisper model (base.en) to bake into image ─────────────────
+# This avoids a ~150 MB download on every cold start.
+# Change to "small" / "medium" if you upgrade hardware.
+RUN python -c "import whisper; whisper.load_model('base.en')"
+
+# ── Copy application code ───────────────────────────────────────────────────
+COPY --chown=user . .
+
+# ── Streamlit configuration ─────────────────────────────────────────────────
+# HF Spaces expects port 7860
+EXPOSE 7860
+
+HEALTHCHECK CMD curl --fail http://localhost:7860/_stcore/health || exit 1
+
+# ── Launch ───────────────────────────────────────────────────────────────────
+ENTRYPOINT ["streamlit", "run", "interface/main.py", \
+            "--server.port=7860", \
+            "--server.address=0.0.0.0", \
+            "--server.enableCORS=false", \
+            "--server.enableXsrfProtection=false", \
+            "--browser.gatherUsageStats=false"]

interface/services/whisper_service.py

@@ -16,9 +16,10 @@ if shutil.which("ffmpeg") is None:
     try:
         import imageio_ffmpeg
         _ffmpeg_real = imageio_ffmpeg.get_ffmpeg_exe()
-        # The bundled binary has a long name; create an alias as ffmpeg.exe
-        # next to it so that Whisper (which calls "ffmpeg") can find it.
-        _ffmpeg_alias = os.path.join(os.path.dirname(_ffmpeg_real), "ffmpeg.exe")
+        _ffmpeg_dir = os.path.dirname(_ffmpeg_real)
+        # Create an alias so that Whisper (which calls "ffmpeg") can find it.
+        _alias_name = "ffmpeg.exe" if os.name == "nt" else "ffmpeg"
+        _ffmpeg_alias = os.path.join(_ffmpeg_dir, _alias_name)
         if not os.path.exists(_ffmpeg_alias):
             try:
                 os.link(_ffmpeg_real, _ffmpeg_alias)   # hard link (no admin)
@@ -26,7 +27,7 @@ if shutil.which("ffmpeg") is None:
                 import shutil as _sh
                 _sh.copy2(_ffmpeg_real, _ffmpeg_alias)  # fallback: copy
         os.environ["PATH"] = (
-            os.path.dirname(_ffmpeg_alias) + os.pathsep + os.environ.get("PATH", "")
+            _ffmpeg_dir + os.pathsep + os.environ.get("PATH", "")
         )
     except ImportError:
         pass  # Will fail later with a clear Whisper error

requirements.txt

@@ -1,12 +1,9 @@
-streamlit
+streamlit>=1.54.0
 openai-whisper
 imageio-ffmpeg
 torch
 pandas
-firebase-admin
-notebook
-transformers 
 pillow
-whisper
 numba
-streamlit-authenticator
+streamlit-authenticator
+bcrypt