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Browse files- .gitignore +1 -0
- Dockerfile +2 -1
- Dockerfile.simple +30 -0
- Makefile +27 -14
- src/streamlit_app.py +42 -36
.gitignore
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@@ -3,4 +3,5 @@
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.vscode/
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.cache/
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resources/
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.vscode/
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.cache/
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resources/
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**/__pycache__/
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Dockerfile
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@@ -30,7 +30,8 @@ COPY requirements.txt ./
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COPY src/ ./src/
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COPY data/ ./data/
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RUN pip3 install -r requirements.txt
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EXPOSE 8501
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COPY src/ ./src/
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COPY data/ ./data/
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RUN pip3 install --user -r requirements.txt
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ENV PATH=$HOME/.local/bin:$PATH
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EXPOSE 8501
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Dockerfile.simple
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FROM python:3.11-slim
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# Create a non-root user and set up home
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RUN useradd -m appuser
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USER appuser
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ENV HOME=/home/appuser
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WORKDIR $HOME
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# Copy code and requirements
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COPY requirements.txt ./
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COPY src/ ./src/
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COPY data/ ./data/
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# Install Python dependencies for the user
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RUN pip3 install --user -r requirements.txt
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# Make sure user-level bin is in PATH
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ENV PATH=$HOME/.local/bin:$PATH
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# (Optional) Set up cache for torch if needed
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RUN mkdir -p $HOME/.cache/torch
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# Expose Streamlit's default port
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EXPOSE 8501
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# Disable XSRF protection for compatibility (optional, but safe for student demos)
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ENV ENABLE_XSRF_PROTECTION=false
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# Run the Streamlit app
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ENTRYPOINT ["streamlit", "run", "src/streamlit_app.py", "--server.port=8501", "--server.address=0.0.0.0"]
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Makefile
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#
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#
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PORT = 8501
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.PHONY: build run clean
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# Build the Docker image
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build:
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docker build -t $(IMAGE_NAME) .
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# Run the Docker container
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run:
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docker run -d \
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--name $(CONTAINER_NAME) \
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-p $(PORT):8501 \
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$(IMAGE_NAME)
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# Stop
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-
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docker stop $(CONTAINER_NAME) || true
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docker rm $(CONTAINER_NAME) || true
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# Build and run in one command
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up: build run
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# Stop
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restart: clean up
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# Python environment
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PROJECT_ROOT = $(shell pwd)
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VENV = $(PROJECT_ROOT)/.venv
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PYTHON_ENV = $(VENV)/bin/python
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# Docker image and container names for the student demo
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IMAGE_NAME = streamlit-student-demo
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CONTAINER_NAME = streamlit-student-demo-container
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PORT = 8501
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.PHONY: build run run-detached stop clean up restart
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# Build the Docker image using Dockerfile.simple
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build:
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docker build -f Dockerfile.simple -t $(IMAGE_NAME) .
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# Run the Docker container interactively (foreground)
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run:
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docker run --rm -it \
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--name $(CONTAINER_NAME) \
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-p $(PORT):8501 \
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$(IMAGE_NAME)
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# Run the Docker container in detached mode (background)
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run-detached:
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docker run -d \
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--name $(CONTAINER_NAME) \
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-p $(PORT):8501 \
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$(IMAGE_NAME)
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# Stop the running container
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stop:
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docker stop $(CONTAINER_NAME) || true
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# Remove the container (if stopped)
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clean:
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docker rm $(CONTAINER_NAME) || true
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# Build and run in one command (detached)
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up: build run-detached
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# Stop, remove, rebuild, and run
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restart: stop clean up
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src/streamlit_app.py
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@@ -31,45 +31,51 @@ similarity_engine = get_similarity_engine()
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# Title and description
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st.title("🎮 Pokemon Similarity Finder")
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st.markdown("""
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Upload an image of a Pokemon and we'll find the closest match in our database!
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""")
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# File uploader
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uploaded_file = st.file_uploader("Choose a Pokemon image...", type=["jpg", "jpeg", "png"])
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if uploaded_file is not None:
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# Title and description
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st.title("🎮 Pokemon Similarity Finder")
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st.markdown("""
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Upload an image of a Pokemon or provide an image URL and we'll find the closest match in our database!
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""")
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# File uploader and URL input
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uploaded_file = st.file_uploader("Choose a Pokemon image...", type=["jpg", "jpeg", "png"])
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image_url = st.text_input("Or enter an image URL:")
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# Determine which input to use
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image_input = None
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input_type = None
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if uploaded_file is not None:
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image_input = uploaded_file.getvalue()
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input_type = 'file'
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elif image_url:
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image_input = image_url
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input_type = 'url'
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if image_input is not None:
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if input_type == 'file':
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logger.info(f"File uploaded: {uploaded_file.name}")
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try:
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# Display the uploaded image
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image = Image.open(io.BytesIO(image_input))
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st.image(image, caption="Uploaded Image", use_column_width=True)
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logger.info("Successfully displayed uploaded image")
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except Exception as e:
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logger.error(f"Error loading image: {str(e)}")
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st.error(f"❌ Error loading image: {str(e)}")
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st.info("Please make sure you've uploaded a valid image file.")
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elif input_type == 'url':
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logger.info(f"Image URL provided: {image_url}")
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st.image(image_url, caption="Image from URL", use_column_width=True)
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# Add a button to trigger the similarity search
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if st.button("Find Similar Pokemon"):
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logger.info("Find Similar Pokemon button clicked")
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with st.spinner("Analyzing image..."):
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try:
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logger.info(f"Finding closest Pokemon match using {input_type} input...")
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pokemon_name = similarity_engine.find_closest_pokemon(image_input)
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logger.info(f"Found closest Pokemon: {pokemon_name}")
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st.success(f"🎯 The closest Pokemon is: **{pokemon_name}**")
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st.balloons()
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except Exception as e:
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logger.error(f"Error during Pokemon matching: {str(e)}")
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st.error(f"❌ Error: {str(e)}")
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st.info("Please try uploading a different image, using a different URL, or try again later.")
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