path fix for models

Dockerfile

@@ -10,7 +10,7 @@ RUN corepack enable && pnpm install --frozen-lockfile
 COPY frontend/ .
 RUN pnpm build
 
-# Stage 2: Python backend
+# Stage 2: Python backend with model training at runtime
 FROM python:3.11-slim
 
 WORKDIR /app
@@ -26,7 +26,7 @@ COPY backend/pyproject.toml backend/uv.lock* ./
 # Grab the uv binary from the official image
 COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/
 
-# Install Python dependencies (this includes tensorflow and kagglehub for model training)
+# Install Python dependencies (includes tensorflow and kagglehub for model training)
 RUN uv sync --frozen --no-dev
 
 # Create necessary directories
@@ -45,5 +45,5 @@ ENV PORT=7860
 EXPOSE 7860
 
 # Use PORT environment variable (defaults to 7860 for Hugging Face Space compatibility)
-# The model will be trained at first startup if model files don't exist
+# Model training happens at first startup if models don't exist (see app/main.py)
 CMD ["sh", "-c", "uv run uvicorn app.main:app --host 0.0.0.0 --port ${PORT}"]

backend/app/voice_analysis.py

@@ -24,9 +24,11 @@ N_MFCC = 40
 EMOTION_LABELS = ['neutral', 'calm', 'happy', 'sad', 'angry', 'fearful', 'disgust', 'surprised']
 
 # Paths to models
+# __file__ is /app/app/voice_analysis.py in Docker, so:
+# - os.path.dirname(__file__) = /app/app
+# - os.path.dirname(os.path.dirname(__file__)) = /app (project root)
 BACKEND_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
-PROJECT_ROOT = os.path.dirname(BACKEND_DIR)
-MODEL_DIR = os.path.join(PROJECT_ROOT, "models")
+MODEL_DIR = os.path.join(BACKEND_DIR, "models")
 
 # CNN model paths
 CNN_MODEL_PATH = os.path.join(MODEL_DIR, "ravdess_cnn_model.h5")

backend/uv.lock

@@ -1053,6 +1053,35 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/9e/6a/a83720e953b1682d2d109d3c2dbb0bc9bf28cc1cbc205be4ef4be5da709d/jsonpointer-3.1.1-py3-none-any.whl", hash = "sha256:8ff8b95779d071ba472cf5bc913028df06031797532f08a7d5b602d8b2a488ca", size = 7659, upload-time = "2026-03-23T22:32:31.568Z" },
 ]
 
+[[package]]
+name = "kagglehub"
+version = "1.0.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "kagglesdk" },
+    { name = "packaging" },
+    { name = "pyyaml" },
+    { name = "requests" },
+    { name = "tqdm" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/98/b2/a542a926e47f0f6947d9fa7117b3a730edbf2a76fffc71e19b8755a58f33/kagglehub-1.0.0.tar.gz", hash = "sha256:21dc25d0279e2071f8b97cd9e1393d003ea5e054ea48f1e8139a39e4771e9a8d", size = 117315, upload-time = "2026-02-11T19:45:36.227Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/18/78/08cec00ea05fd2469f9395da0306bb368c4ed275693be8d31473eafaf90c/kagglehub-1.0.0-py3-none-any.whl", hash = "sha256:9397f0c6af04cdefa6fa8734c31b42863e8741aad5832c6f3af52f1ecf8fe509", size = 70632, upload-time = "2026-02-11T19:45:34.626Z" },
+]
+
+[[package]]
+name = "kagglesdk"
+version = "0.1.16"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "protobuf" },
+    { name = "requests" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/23/0e/51bf72a462e1e72fe3427b7c52b11c9c52cbcc63d7ce90f81a8f56d5a71b/kagglesdk-0.1.16.tar.gz", hash = "sha256:4a20da4ac6f4085e64b976a313ee136d4698737dc5be7c0f13009fadd41d5540", size = 121064, upload-time = "2026-02-27T19:32:34.019Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/69/6b/db30f17ad132391ac37a751fa45b32fd954a7ffa484fa3550eee9678334d/kagglesdk-0.1.16-py3-none-any.whl", hash = "sha256:a26ba7a754866f8eef1e327e78101f2960b6fe9b1b323183f2f61170abdb11ff", size = 160520, upload-time = "2026-02-27T19:32:32.721Z" },
+]
+
 [[package]]
 name = "keras"
 version = "3.12.1"
@@ -3325,6 +3354,7 @@ dependencies = [
     { name = "fastapi" },
     { name = "httpx" },
     { name = "joblib" },
+    { name = "kagglehub" },
     { name = "langchain-core" },
     { name = "langchain-nvidia-ai-endpoints" },
     { name = "langgraph" },
@@ -3339,6 +3369,7 @@ dependencies = [
     { name = "scikit-learn", version = "1.7.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" },
     { name = "scikit-learn", version = "1.8.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
     { name = "soundfile" },
+    { name = "tensorflow" },
     { name = "tf-keras" },
     { name = "uvicorn" },
 ]
@@ -3357,6 +3388,7 @@ requires-dist = [
     { name = "fastapi", specifier = ">=0.115.0" },
     { name = "httpx", specifier = ">=0.27.0" },
     { name = "joblib", specifier = ">=1.4.0" },
+    { name = "kagglehub", specifier = ">=0.3.0" },
     { name = "langchain-core", specifier = ">=0.3.0" },
     { name = "langchain-nvidia-ai-endpoints", specifier = ">=0.3.0" },
     { name = "langgraph", specifier = ">=0.2.0" },
@@ -3369,6 +3401,7 @@ requires-dist = [
     { name = "python-multipart", specifier = ">=0.0.12" },
     { name = "scikit-learn", specifier = ">=1.5.0" },
     { name = "soundfile", specifier = ">=0.12.0" },
+    { name = "tensorflow", specifier = ">=2.15.0" },
     { name = "tf-keras", specifier = ">=2.18.0" },
     { name = "uvicorn", specifier = ">=0.32.0" },
 ]

models/train_cnn.py

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:aac569cc4a3492d3429fd690b88d6ea3c1a04910606c4d01186d78198327f442
-size 6267
+oid sha256:615316b4c5ea006dcf082eb520c35275fcb6fdc48eb686110d8d66baf50d8495
+size 6752