Streamlit changes

app/app.py

@@ -0,0 +1,73 @@
+import streamlit as st
+import pandas as pd
+import requests
+import xml.etree.ElementTree as ET
+import yaml
+
+try:
+    with open("../config.yaml", "r") as file:
+        config = yaml.safe_load(file)
+except:
+    print("Yaml configuration file not found!")
+
+# --- Load your dataset ---
+boardgames_df = pd.read_csv(config['output_data']['file'])
+
+# --- Image Fetcher using BoardGameGeek XML API ---
+def fetch_bgg_image(game_name):
+    search_url = f"https://boardgamegeek.com/xmlapi2/search?query={game_name}&type=boardgame"
+    try:
+        search_response = requests.get(search_url)
+        root = ET.fromstring(search_response.content)
+        first_item = root.find("item")
+        if first_item is not None:
+            game_id = first_item.attrib["id"]
+            thing_url = f"https://boardgamegeek.com/xmlapi2/thing?id={game_id}&stats=1"
+            thing_response = requests.get(thing_url)
+            thing_root = ET.fromstring(thing_response.content)
+            image_tag = thing_root.find(".//image")
+            if image_tag is not None:
+                return image_tag.text
+    except Exception as e:
+        print(f"Error fetching image for {game_name}: {e}")
+    return None
+
+# --- Streamlit UI ---
+st.title("🎲 Board Game Recommender")
+st.write("Find the best board games for your session based on your preferences.")
+
+# --- User Inputs ---
+playtime = st.slider("⏱️ Desired playtime (minutes)", 0, 1200, 30)
+number_players = st.slider("👥 Number of players", 1, 100, 2)
+min_age = st.slider("🧒 Age of youngest player", 0, 18)
+min_age = st.slider("🧒 Age of youngest player", 4, 18, 12)
+difficulty_level = st.selectbox("🧠 Desired difficulty level", [1, 2, 3, 4], format_func=lambda x: ["Easy", "Medium", "Hard", "Very Hard"][x-1])
+complexity = float(difficulty_level)
+
+# --- Filter Logic ---
+filtered_df = boardgames_df[
+    (boardgames_df['min_playtime'] <= playtime) &
+    (boardgames_df['max_playtime'] >= playtime) &
+    (boardgames_df['min_players'] <= number_players) &
+    (boardgames_df['max_players'] >= number_players) &
+    (boardgames_df['minimum_age'] <= min_age) &
+    (boardgames_df['complexity'] <= complexity + 1) &
+    (boardgames_df['complexity'] >= complexity)
+]
+
+filtered_df_ranked = filtered_df.sort_values(by="avg_rating", ascending=False)
+
+# --- Display Results ---
+if filtered_df_ranked.empty:
+    st.warning("⚠️ No games match all criteria. Try relaxing one or more inputs.")
+else:
+    st.subheader("🔥 Top 5 Matching Games")
+    for _, row in filtered_df_ranked.head(5).iterrows():
+        st.markdown(f"### {row['boardgame']}")
+        st.write(f"⭐ Rating: {row['avg_rating']} | 👥 Players: {row['min_players']}–{row['max_players']} | ⏱️ Playtime: {row['min_playtime']}–{row['max_playtime']} mins | 🧠 Complexity: {row['complexity']}")
+        img_url = fetch_bgg_image(row['boardgame'])
+        if img_url:
+            st.image(img_url, width=250)
+        else:
+            st.info("No image found.")
+

config.yaml

@@ -1,5 +1,6 @@
 input_data:
-  file: "../data/raw/raw_data_file.csv"
+  file: "../data/raw/boardgames_df_raw.csv"
 
 output_data:
-  file: "../data/clean/cleaned_data_file.csv"
+  file: "../data/clean/boardgames_df_cleaned.csv"
+