update

Dockerfile

@@ -1,24 +0,0 @@
-FROM python:3.10-slim
-
-RUN apt-get update && \
-    apt-get install -y \
-    curl \
-    ca-certificates \
-    procps \
-    git \
-    && apt-get clean \
-    && rm -rf /var/lib/apt/lists/*
-
-RUN curl -fsSL https://ollama.com/install.sh | sh
-
-RUN pip install ollama langchain langchain-ollama pillow
-
-RUN ollama serve & \
-    sleep 10 && \
-    ollama pull gemma3n:e2b && \ 
-    pkill ollama
-
-WORKDIR /workspace
-
-RUN python3 -c "import sys; print(f'Python version: {sys.version}'); import langchain; from langchain_ollama import OllamaLLM; print('Setup verified successfully!')"
-CMD ["ollama" , "serve"]

docker-compose.yml

@@ -1,19 +0,0 @@
-services:
-  ollama:
-    build: .
-    container_name: gemma3n-challenge
-    ports:
-      - "11434:11434"
-      - "8000:8000"
-    volumes:
-      - ollama:/root/.ollama
-      - .:/workspace
-    environment:
-      - OLLAMA_HOST=0.0.0.0
-      - OLLAMA_ORIGINS=*
-      - PYTHONPATH=/workspace
-    working_dir: /workspace
-    restart: unless-stopped
-
-volumes:
-  ollama:

utils.py

@@ -1,41 +0,0 @@
-import base64
-from PIL import Image
-import os
-import tempfile
-
-
-def encode_image_to_base64(image_path):
-    """
-    Encodes an image file to a base64 string.
-    Args:
-        image_path (str): The path to the image file.
-    Returns:
-        str: Base64 encoded string of the image.
-    """
-    with open(image_path, "rb") as image_file:
-        return base64.b64encode(image_file.read()).decode("utf-8")
-
-
-def save_uploaded_file(uploaded_file):
-    """
-    Saves an uploaded file to a temporary location.
-    """
-    if not os.path.exists("temp"):
-        os.makedirs("temp")
-
-    temp_path = os.path.join("temp", uploaded_file.filename)
-    with open(temp_path, "wb") as f:
-        f.write(uploaded_file.getvalue())
-    return temp_path
-
-
-def resize_image(image_path, max_size=(1024, 1024)):
-    """
-    Resizes an image to fit within the specified maximum size while maintaining aspect ratio.
-    Args:
-        image_path (str): The path to the image file.
-        max_size (tuple): The maximum width and height (width, height) for the resized image.
-    """
-    with Image.open(image_path) as img:
-        img.thumbnail(max_size, Image.Resampling.LANCZOS)
-        img.save(image_path)