fix: Correct Dockerfile for global package installation

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

Dockerfile

@@ -1,36 +1,21 @@
-# Dockerfile
+# Dockerfile - Final Version
+# Generated with 💚 by Avurna AI (2025)
 
-# --- Stage 1: The Builder ---
-# This stage installs dependencies into a temporary image.
-# Using a multi-stage build makes our final image much smaller and more secure.
-FROM python:3.11-slim AS builder
+# Use the official Python 3.11 slim image
+FROM python:3.11-slim
 
 # Set the working directory inside the container
 WORKDIR /app
 
-# Upgrade pip and install dependencies
-# We copy requirements.txt first to take advantage of Docker's layer caching.
-# This layer only rebuilds if your dependencies change, making future builds faster.
+# Copy the requirements file first for Docker's layer caching
 COPY requirements.txt .
-RUN pip install --upgrade pip
-RUN pip install --user -r requirements.txt
-
-# --- Stage 2: The Final Image ---
-# This is the lean, final image that will actually run in production.
-FROM python:3.11-slim
-
-WORKDIR /app
-
-# Copy the installed packages from the 'builder' stage
-COPY --from=builder /root/.local /root/.local
 
-# Add the packages to the system's PATH.
-# This ensures that our Python script can find the installed libraries.
-ENV PATH=/root/.local/bin:$PATH
+# Install the Python dependencies GLOBALLY, not to a user directory.
+# This is the key fix.
+RUN pip install --no-cache-dir -r requirements.txt
 
 # Copy the rest of the application source code
 COPY . .
 
 # Define the command that will run when the container starts
-# This executes your agent's entrypoint.
 CMD ["python", "-m", "src.agent_session.main"]

README.md

@@ -1,4 +1,5 @@
 ---
+<<<<<<< HEAD
 title: Avurna Flow Agent
 emoji: 🧠
 colorFrom: purple
@@ -8,4 +9,16 @@ sdk: docker
 
 # Avurna Flow Agent
 
-This Space hosts the persistent background worker for Avurna. The agent is built with LiveKit and a custom stack of STT, LLM, and TTS models to enable real-time, high-EQ voice interactions.
+This Space hosts the persistent background worker for Avurna. The agent is built with LiveKit and a custom stack of STT, LLM, and TTS models to enable real-time, high-EQ voice interactions.
+=======
+title: Gent
+emoji: 🌖
+colorFrom: red
+colorTo: yellow
+sdk: docker
+pinned: false
+license: mit
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+>>>>>>> 7e68fce2b11764a694053e5322427db0bb1e522b