Upload files to "frontend"

frontend/Dockerfile

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+FROM python:3.12-slim
+WORKDIR /app
+COPY requirements.txt .
+RUN pip install -r requirements.txt
+COPY app.py .
+EXPOSE 8501
+CMD ["streamlit", "run", "app.py", "--server.port=8501", "--server.address=0.0.0.0"]

frontend/app.py

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+import streamlit as st
+import requests
+import pandas as pd
+import io
+import os
+
+st.title("🚀 Deal Hunter App")
+st.sidebar.header("Search & Filters")
+item = st.sidebar.text_input("Item", value="iPhone 14 Pro Max")
+radius = st.sidebar.number_input("Radius (miles)", value=50)
+min_price = st.sidebar.number_input("Min Price", value=0.0)
+max_price = st.sidebar.number_input("Max Price", value=1000.0)
+condition = st.sidebar.selectbox("Condition", ["Any", "New", "Used"])
+min_score = st.sidebar.slider("Min Score", 1, 10, 7)
+
+backend_url = os.getenv("BACKEND_URL", "http://localhost:8000")
+
+if st.button("Hunt Deals"):
+    with st.spinner("Hunting..."):
+        response = requests.post(f"{backend_url}/hunt", json={
+            "item": item, "location_radius": radius, "min_price": min_price, "max_price": max_price,
+            "condition": condition, "min_score": min_score
+        })
+        if response.status_code == 200:
+            data = response.json()
+            deals = data['deals']
+            hot_count = data['hot_count']
+            df = pd.DataFrame(deals)
+            st.success(f"Found {len(deals)} deals ({hot_count} hot)!")
+            st.dataframe(df[['title', 'price', 'resale_avg', 'offer', 'score', 'status', 'condition', 'link']], use_container_width=True)
+
+            csv_buffer = io.StringIO(data['csv'])
+            st.download_button("Download CSV", csv_buffer.getvalue(), "deals.csv", "text/csv")
+        else:
+            st.error(f"Error: {response.text}")
+
+st.info("Backend API at http://localhost:8000 for testing.")

frontend/requirements.txt

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+streamlit
+requests
+pandas