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.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

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+FROM ollama/ollama:latest
+
+# Install curl, Python, and pip
+RUN apt-get update && apt-get install -y curl python3 python3-pip && rm -rf /var/lib/apt/lists/*
+
+# Install your Python dependencies
+COPY requirements.txt /tmp/requirements.txt
+RUN pip install -r /tmp/requirements.txt
+
+# Create ollama user and directories
+RUN useradd -m -u 1000 ollama
+RUN mkdir -p /home/ollama/.ollama && chown -R ollama:ollama /home/ollama/.ollama
+
+# Copy your app code
+COPY --chown=ollama:ollama . /home/ollama/
+
+# Switch to ollama user
+USER ollama
+WORKDIR /home/ollama
+
+# Set environment variables
+ENV OLLAMA_HOST=0.0.0.0:7860
+ENV HOME=/home/ollama
+
+# Expose ports
+EXPOSE 7860 7861  # Add another port if your app serves an API/web UI
+
+# Start Ollama + your app
+ENTRYPOINT []
+CMD ["/bin/bash", "/home/ollama/start.sh"]

README.md

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 ---
-title: BookRecommender
-emoji: 🌖
-colorFrom: pink
+title: Book Recommendation Agent
+emoji: 📚
+colorFrom: yellow
 colorTo: pink
-sdk: gradio
-sdk_version: 5.29.1
-app_file: app.py
-pinned: false
-license: apache-2.0
+sdk: docker
+app_port: 7861  # whatever port your app serves on
 ---
 
+
 A simple book recommendation agent.
 Utilises ollama/llama3 and web search via DuckDuckGo.
 Usage is pretty self explanatory.

requirements.txt

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-langgraph
-gradio
-httpx
-selectolax
-aiohttp
-huggingface_hub
-transformers
-torch
+langgraph
+ollama
+gradio
+httpx
+selectolax
+duckduckgo-search

start.sh

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+#!/bin/bash
+
+echo "Starting Ollama server..."
+OLLAMA_HOST=0.0.0.0:7860 ollama serve &
+
+# Wait for Ollama to be ready
+echo "Waiting for Ollama server to start..."
+sleep 15
+
+wait_for_ollama() {
+    while ! curl -s http://localhost:7860/api/tags > /dev/null; do
+        echo "Waiting for Ollama to be ready..."
+        sleep 5
+    done
+    echo "Ollama is ready!"
+}
+
+wait_for_ollama
+
+echo "Pulling llama3.2:1b model..."
+ollama pull llama3.2:1b
+
+echo "Pulling mxbai-embed-large model..."
+ollama pull mxbai-embed-large
+
+echo "All models pulled successfully!"
+echo "Ollama is running on http://0.0.0.0:7860"
+
+# Start your app (replace app.py with your actual script name)
+echo "Starting your app..."
+python3 app.py