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faq.py

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+from fasthtml.common import *
+
+
+def create_faq():
+    faq_items = [
+        (
+            "كيف يمكنني البحث عن الطعام؟",
+            "يمكنك كتابة اسم الطعام باللغة العربية أو الإنجليزية في مربع البحث",
+        ),
+        (
+            "ما هي وحدة قياس السعرات الحرارية؟",
+            "السعرات الحرارية مقاسة لكل 100 جرام من الطعام",
+        ),
+        ("هل المعلومات دقيقة؟", "نعم، المعلومات مأخوذة من قاعدة بيانات موثوقة للأغذية"),
+    ]
+    faq_list = [
+        Details(Summary(question), P(answer), cls="faq-item")
+        for question, answer in faq_items
+    ]
+    return Section(
+        H2("الأسئلة الشائعة عن السعرات الحرارية"),
+        *faq_list,
+        cls="faq-section container",
+    )

food_sql.py

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+import pandas as pd
+from fasthtml.common import *
+
+df = pd.read_csv(
+    "ar_en_nutrition.csv",
+    index_col=0,
+)
+
+
+def create_food_model(df):
+    # Remove the 'Unnamed: 0' column if it exists
+    if "Unnamed: 0" in df.columns:
+        df = df.drop("Unnamed: 0", axis=1)
+
+    # Create a dictionary of column names and their types
+    dtype_map = {"int64": int, "object": str, "float64": float}
+
+    # Start with the id column
+    column_types = {"id": int}
+
+    # Add other columns, excluding any id column from the DataFrame
+    for col in df.columns:
+        if col.lower() != "id":
+            column_types[col] = dtype_map[str(df[col].dtype)]
+
+    # Create the app with dynamically generated columns
+    return fast_app(
+        "data/foods.db",
+        hdrs=[Style(":root { --pico-font-size: 100%; }")],
+        pk="id",
+        **column_types,
+    )
+
+
+def update_database(df):
+    # Create the model based on DataFrame structure
+    app, rt, foods, Food = create_food_model(df)
+
+    # Convert DataFrame rows to Food objects, letting SQLite handle the ID
+    for _, row in df.iterrows():
+        row_dict = row.to_dict()
+        if "id" in row_dict:
+            del row_dict["id"]
+        if "Unnamed: 0" in row_dict:
+            del row_dict["Unnamed: 0"]
+        foods.insert(Food(**row_dict))
+    foods.enable_fts(["name", "arabic_name"])
+
+
+try:
+    app, rt, foods, Food = create_food_model(df)
+    update_database(df)
+    print("Database updated successfully!")
+except Exception as e:
+    print(f"Error updating database: {e}")
+
+items = foods()
+print(len(items))
+
+# for item in items[:5]:
+    # print(item.arabic_name, item.name, item.calories)
+
+# el = foods.search("banana")
+# for e in el:
+    # print(e["name"])
+    # print(e["arabic_name"])
+    # print(e["calories"])
+    # print(e)
+    # break

requirements.txt

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+python-fasthtml
+fasthtml-hf
+uvicorn