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Runtime error
Runtime error
Update app.py
Browse files
app.py
CHANGED
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@@ -157,7 +157,7 @@ def main():
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response_json = json.loads(response.content)
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# Convert response_json to a list
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response_json = list(response_json)
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-
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if len(response_json) == 0:
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st.markdown("### No Recipe Found:")
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st.write("**No recipes found. Please adjust your search criteria.**")
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@@ -181,67 +181,100 @@ def main():
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st.write("**Description:** ", random_recipe['Description'])
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st.write("**Ingredients:** ", random_recipe['Ingredients'])
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st.write("**Recipe Facts:** ", random_recipe['Recipe Facts'])
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st.write("**Directions:** ", random_recipe['Directions'])
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nutrition_html = """
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<div id="nutrition-info_6-0" class="comp nutrition-info">
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<table class="nutrition-info__table">
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<thead>
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<tr>
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<th class="nutrition-info__heading" colspan="
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</tr>
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</thead>
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<tbody class="nutrition-info__table--body">
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<tr class="nutrition-info__table--row">
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<td class="nutrition-info__table--cell">Calories</td>
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<td class="nutrition-info__table--cell">{calories}</td>
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</tr>
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<tr class="nutrition-info__table--row">
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<td class="nutrition-info__table--cell">Total Fat</td>
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<td class="nutrition-info__table--cell">{total_fat}</td>
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</tr>
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<tr class="nutrition-info__table--row">
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<td class="nutrition-info__table--cell">Saturated Fat</td>
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<td class="nutrition-info__table--cell">{saturated_fat}</td>
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</tr>
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<tr class="nutrition-info__table--row">
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<td class="nutrition-info__table--cell">Cholesterol</td>
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<td class="nutrition-info__table--cell">{cholesterol}</td>
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</tr>
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<tr class="nutrition-info__table--row">
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<td class="nutrition-info__table--cell">Sodium</td>
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<td class="nutrition-info__table--cell">{sodium}</td>
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</tr>
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<tr class="nutrition-info__table--row">
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<td class="nutrition-info__table--cell">Total Carbohydrate</td>
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<td class="nutrition-info__table--cell">{total_carbohydrate}</td>
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</tr>
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<tr class="nutrition-info__table--row">
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<td class="nutrition-info__table--cell">Dietary Fiber</td>
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<td class="nutrition-info__table--cell">{dietary_fiber}</td>
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</tr>
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<tr class="nutrition-info__table--row">
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<td class="nutrition-info__table--cell">Total Sugars</td>
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<td class="nutrition-info__table--cell">{total_sugars}</td>
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</tr>
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<tr class="nutrition-info__table--row">
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<td class="nutrition-info__table--cell">Protein</td>
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<td class="nutrition-info__table--cell">{protein}</td>
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</tr>
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<tr class="nutrition-info__table--row">
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<td class="nutrition-info__table--cell">Vitamin C</td>
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<td class="nutrition-info__table--cell">{vitc}</td>
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</tr>
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<tr class="nutrition-info__table--row">
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<td class="nutrition-info__table--cell">Calcium</td>
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<td class="nutrition-info__table--cell">{calc}</td>
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</tr>
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<tr class="nutrition-info__table--row">
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<td class="nutrition-info__table--cell">Iron</td>
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<td class="nutrition-info__table--cell">{iron}</td>
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</tr>
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<tr class="nutrition-info__table--row">
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<td class="nutrition-info__table--cell">Potassium</td>
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<td class="nutrition-info__table--cell">{pota}</td>
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</tr>
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</tbody>
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</table>
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@@ -262,7 +295,20 @@ def main():
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calc=random_recipe['Calcium'],
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iron=random_recipe['Iron'],
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pota=random_recipe['Potassium'],
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protein=random_recipe['Protein']
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)
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# Define a function to apply the CSS styles to the table cells
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@@ -273,22 +319,7 @@ def main():
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# Add the nutrition table to the Streamlit app
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st.write("<h2 style='text-align:left;'>Nutrition Facts (per serving)</h2>", unsafe_allow_html=True)
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st.write(f"<div style='max-height:none; overflow:auto'>{formatted_html}</div>", unsafe_allow_html=True)
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st.write("<p style='text-align:left;'>*
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# extract only numeric values and convert mg to g
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values = [
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float(re.sub(r'[^\d.]+', '', random_recipe['Total Fat'])),
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float(re.sub(r'[^\d.]+', '', random_recipe['Saturated Fat'])),
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float(re.sub(r'[^\d.]+', '', random_recipe['Cholesterol'])) / 1000,
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float(re.sub(r'[^\d.]+', '', random_recipe['Sodium'])) / 1000,
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float(re.sub(r'[^\d.]+', '', random_recipe['Total Carbohydrate'])),
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float(re.sub(r'[^\d.]+', '', random_recipe['Dietary Fiber'])),
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float(re.sub(r'[^\d.]+', '', random_recipe['Total Sugars'])),
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float(re.sub(r'[^\d.]+', '', random_recipe['Protein'])),
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float(re.sub(r'[^\d.]+', '', random_recipe['Vitamin C'])) / 1000,
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float(re.sub(r'[^\d.]+', '', random_recipe['Calcium'])) / 1000,
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float(re.sub(r'[^\d.]+', '', random_recipe['Iron'])) / 1000,
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float(re.sub(r'[^\d.]+', '', random_recipe['Potassium'])) / 1000
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]
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# create pie chart
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labels = ['Total Fat', 'Saturated Fat', 'Cholesterol', 'Sodium', 'Total Carbohydrate', 'Dietary Fiber', 'Total Sugars', 'Protein', 'Vitamin C', 'Calcium', 'Iron', 'Potassium']
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fig = go.Figure(data=[go.Pie(labels=labels, values=values)])
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@@ -310,67 +341,100 @@ def main():
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st.write("**Description:** ", response_json[0]['Description'])
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st.write("**Ingredients:** ", response_json[0]['Ingredients'])
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st.write("**Recipe Facts:** ", response_json[0]['Recipe Facts'])
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st.write("**Directions:** ",
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nutrition_html = """
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<div id="nutrition-info_6-0" class="comp nutrition-info">
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<table class="nutrition-info__table">
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<thead>
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<tr>
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<th class="nutrition-info__heading" colspan="
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</tr>
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</thead>
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<tbody class="nutrition-info__table--body">
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<tr class="nutrition-info__table--row">
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<td class="nutrition-info__table--cell">Calories</td>
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<td class="nutrition-info__table--cell">{calories}</td>
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</tr>
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<tr class="nutrition-info__table--row">
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<td class="nutrition-info__table--cell">Total Fat</td>
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<td class="nutrition-info__table--cell">{total_fat}</td>
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</tr>
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<tr class="nutrition-info__table--row">
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<td class="nutrition-info__table--cell">Saturated Fat</td>
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<td class="nutrition-info__table--cell">{saturated_fat}</td>
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</tr>
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<tr class="nutrition-info__table--row">
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<td class="nutrition-info__table--cell">Cholesterol</td>
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<td class="nutrition-info__table--cell">{cholesterol}</td>
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</tr>
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<tr class="nutrition-info__table--row">
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<td class="nutrition-info__table--cell">Sodium</td>
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<td class="nutrition-info__table--cell">{sodium}</td>
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</tr>
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<tr class="nutrition-info__table--row">
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<td class="nutrition-info__table--cell">Total Carbohydrate</td>
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<td class="nutrition-info__table--cell">{total_carbohydrate}</td>
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</tr>
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<tr class="nutrition-info__table--row">
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<td class="nutrition-info__table--cell">Dietary Fiber</td>
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<td class="nutrition-info__table--cell">{dietary_fiber}</td>
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</tr>
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<tr class="nutrition-info__table--row">
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<td class="nutrition-info__table--cell">Total Sugars</td>
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<td class="nutrition-info__table--cell">{total_sugars}</td>
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</tr>
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<tr class="nutrition-info__table--row">
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<td class="nutrition-info__table--cell">Protein</td>
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<td class="nutrition-info__table--cell">{protein}</td>
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</tr>
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<tr class="nutrition-info__table--row">
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<td class="nutrition-info__table--cell">Vitamin C</td>
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<td class="nutrition-info__table--cell">{vitc}</td>
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</tr>
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<tr class="nutrition-info__table--row">
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<td class="nutrition-info__table--cell">Calcium</td>
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<td class="nutrition-info__table--cell">{calc}</td>
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</tr>
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<tr class="nutrition-info__table--row">
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<td class="nutrition-info__table--cell">Iron</td>
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<td class="nutrition-info__table--cell">{iron}</td>
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</tr>
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<tr class="nutrition-info__table--row">
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<td class="nutrition-info__table--cell">Potassium</td>
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<td class="nutrition-info__table--cell">{pota}</td>
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</tr>
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</tbody>
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</table>
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"""
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# Use the nutrition HTML and format it with the values
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formatted_html = nutrition_html.format(
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calories=
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total_fat=
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saturated_fat=
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cholesterol=
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sodium=
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total_carbohydrate=
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dietary_fiber=
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total_sugars=
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servings=
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vitc=
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calc=
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iron=
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pota=
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protein=
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)
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# Define a function to apply the CSS styles to the table cells
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@@ -402,50 +479,19 @@ def main():
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# Add the nutrition table to the Streamlit app
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st.write("<h2 style='text-align:left;'>Nutrition Facts (per serving)</h2>", unsafe_allow_html=True)
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st.write(f"<div style='max-height:none; overflow:auto'>{formatted_html}</div>", unsafe_allow_html=True)
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st.write("<p style='text-align:left;'>*
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# extract only numeric values and convert mg to g
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values = [
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float(re.sub(r'[^\d.]+', '', random_recipe['Total Fat'])),
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float(re.sub(r'[^\d.]+', '', random_recipe['Saturated Fat'])),
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float(re.sub(r'[^\d.]+', '', random_recipe['Cholesterol'])) / 1000,
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float(re.sub(r'[^\d.]+', '', random_recipe['Sodium'])) / 1000,
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float(re.sub(r'[^\d.]+', '', random_recipe['Total Carbohydrate'])),
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float(re.sub(r'[^\d.]+', '', random_recipe['Dietary Fiber'])),
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float(re.sub(r'[^\d.]+', '', random_recipe['Total Sugars'])),
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float(re.sub(r'[^\d.]+', '', random_recipe['Protein'])),
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float(re.sub(r'[^\d.]+', '', random_recipe['Vitamin C'])) / 1000,
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float(re.sub(r'[^\d.]+', '', random_recipe['Calcium'])) / 1000,
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float(re.sub(r'[^\d.]+', '', random_recipe['Iron'])) / 1000,
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float(re.sub(r'[^\d.]+', '', random_recipe['Potassium'])) / 1000
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]
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# create pie chart
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labels = ['Total Fat', 'Saturated Fat', 'Cholesterol', 'Sodium', 'Total Carbohydrate', 'Dietary Fiber', 'Total Sugars', 'Protein', 'Vitamin C', 'Calcium', 'Iron', 'Potassium']
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fig = go.Figure(data=[go.Pie(labels=labels, values=values)])
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st.markdown("### Macronutrients Pie Chart ;) (In Grams)")
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st.plotly_chart(fig)
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st.write("**Tags:** ",
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st.write("**Recipe URL:** ",
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st.markdown("### JSON Response:")
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st.write(response_json)
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st.markdown("<hr style='text-align: center;'>", unsafe_allow_html=True)
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st.markdown("<p style='text-align: center'><a href='https://github.com/Kaludii'>Github</a> | <a href='https://huggingface.co/Kaludi'>HuggingFace</a></p>", unsafe_allow_html=True)
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if __name__ == '__main__':
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main()
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## Fetch random recipes:
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## Fetch the healthy recipe
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#response = requests.get("test.org/test.json")
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#data = response.json()
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#healthy_recipes = [recipe for recipe in data['recipe'] if recipe['calories'] < int(calories)]
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#healthy_recipe = random.choice(healthy_recipes)
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## Fetch the unhealthy recipe
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#unhealthy_recipes = [recipe for recipe in data['recipe'] if recipe['calories'] < int(calories)]
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#unhealthy_recipe = random.choice(unhealthy_recipes)
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## Add code to display the healthy and unhealthy recipes
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#st.write("Healthy Recipe: ", healthy_recipe['name'], "Calories: ", healthy_recipe['calories'])
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#st.write("Unhealthy Recipe: ", unhealthy_recipe['name'], "Calories: ", unhealthy_recipe['calories'])
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response_json = json.loads(response.content)
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# Convert response_json to a list
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response_json = list(response_json)
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if len(response_json) == 0:
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st.markdown("### No Recipe Found:")
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st.write("**No recipes found. Please adjust your search criteria.**")
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st.write("**Description:** ", random_recipe['Description'])
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st.write("**Ingredients:** ", random_recipe['Ingredients'])
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st.write("**Recipe Facts:** ", random_recipe['Recipe Facts'])
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st.write("**Directions:** ", random_recipe['Directions'])
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# extract only numeric values and convert mg to g
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values = [
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float(re.sub(r'[^\d.]+', '', random_recipe['Total Fat'])),
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float(re.sub(r'[^\d.]+', '', random_recipe['Saturated Fat'])),
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float(re.sub(r'[^\d.]+', '', random_recipe['Cholesterol'])) / 1000,
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float(re.sub(r'[^\d.]+', '', random_recipe['Sodium'])) / 1000,
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float(re.sub(r'[^\d.]+', '', random_recipe['Total Carbohydrate'])),
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float(re.sub(r'[^\d.]+', '', random_recipe['Dietary Fiber'])),
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float(re.sub(r'[^\d.]+', '', random_recipe['Total Sugars'])),
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float(re.sub(r'[^\d.]+', '', random_recipe['Protein'])),
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float(re.sub(r'[^\d.]+', '', random_recipe['Vitamin C'])) / 1000,
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float(re.sub(r'[^\d.]+', '', random_recipe['Calcium'])) / 1000,
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float(re.sub(r'[^\d.]+', '', random_recipe['Iron'])) / 1000,
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float(re.sub(r'[^\d.]+', '', random_recipe['Potassium'])) / 1000
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]
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# Create a list of daily values (DV) for each nutrient based on a 2000 calorie per day diet, all are in grams
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dv = [65, 20, 0.3, 2.3, 300, 28, 50, 50, 0.09, 1, 0.018, 4.7]
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# Calculate the percentage of DV for each nutrient
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dv_percent = [round(value * 100 / dv[i]) for i, value in enumerate(values)]
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nutrition_html = """
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<div id="nutrition-info_6-0" class="comp nutrition-info">
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<table class="nutrition-info__table">
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<thead>
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<tr>
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<th class="nutrition-info__heading" colspan="3">Number of Servings: <span class="nutrition-info__heading-aside">{servings}</span></th>
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</tr>
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</thead>
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<tbody class="nutrition-info__table--body">
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<tr class="nutrition-info__table--row">
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<td class="nutrition-info__table--cell">Calories</td>
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<td class="nutrition-info__table--cell">{calories}</td>
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<td class="nutrition-info__table--cell"></td>
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</tr>
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<tr class="nutrition-info__table--row">
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<td class="nutrition-info__table--cell">Total Fat</td>
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<td class="nutrition-info__table--cell">{total_fat}</td>
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<td class="nutrition-info__table--cell">{fat_percent}% DV</td>
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</tr>
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| 224 |
<tr class="nutrition-info__table--row">
|
| 225 |
<td class="nutrition-info__table--cell">Saturated Fat</td>
|
| 226 |
<td class="nutrition-info__table--cell">{saturated_fat}</td>
|
| 227 |
+
<td class="nutrition-info__table--cell">{sat_fat_percent}% DV</td>
|
| 228 |
</tr>
|
| 229 |
<tr class="nutrition-info__table--row">
|
| 230 |
<td class="nutrition-info__table--cell">Cholesterol</td>
|
| 231 |
<td class="nutrition-info__table--cell">{cholesterol}</td>
|
| 232 |
+
<td class="nutrition-info__table--cell">{chol_percent}% DV</td>
|
| 233 |
</tr>
|
| 234 |
<tr class="nutrition-info__table--row">
|
| 235 |
<td class="nutrition-info__table--cell">Sodium</td>
|
| 236 |
<td class="nutrition-info__table--cell">{sodium}</td>
|
| 237 |
+
<td class="nutrition-info__table--cell">{sodium_percent}% DV</td>
|
| 238 |
</tr>
|
| 239 |
<tr class="nutrition-info__table--row">
|
| 240 |
<td class="nutrition-info__table--cell">Total Carbohydrate</td>
|
| 241 |
<td class="nutrition-info__table--cell">{total_carbohydrate}</td>
|
| 242 |
+
<td class="nutrition-info__table--cell">{carb_percent}% DV</td>
|
| 243 |
</tr>
|
| 244 |
<tr class="nutrition-info__table--row">
|
| 245 |
<td class="nutrition-info__table--cell">Dietary Fiber</td>
|
| 246 |
<td class="nutrition-info__table--cell">{dietary_fiber}</td>
|
| 247 |
+
<td class="nutrition-info__table--cell">{diet_fibe_percent}% DV</td>
|
| 248 |
</tr>
|
| 249 |
<tr class="nutrition-info__table--row">
|
| 250 |
<td class="nutrition-info__table--cell">Total Sugars</td>
|
| 251 |
<td class="nutrition-info__table--cell">{total_sugars}</td>
|
| 252 |
+
<td class="nutrition-info__table--cell">{tot_sugars_percent}% DV</td>
|
| 253 |
</tr>
|
| 254 |
<tr class="nutrition-info__table--row">
|
| 255 |
<td class="nutrition-info__table--cell">Protein</td>
|
| 256 |
<td class="nutrition-info__table--cell">{protein}</td>
|
| 257 |
+
<td class="nutrition-info__table--cell">{protein_percent}% DV</td>
|
| 258 |
</tr>
|
| 259 |
<tr class="nutrition-info__table--row">
|
| 260 |
<td class="nutrition-info__table--cell">Vitamin C</td>
|
| 261 |
<td class="nutrition-info__table--cell">{vitc}</td>
|
| 262 |
+
<td class="nutrition-info__table--cell">{vitc_percent}% DV</td>
|
| 263 |
</tr>
|
| 264 |
<tr class="nutrition-info__table--row">
|
| 265 |
<td class="nutrition-info__table--cell">Calcium</td>
|
| 266 |
<td class="nutrition-info__table--cell">{calc}</td>
|
| 267 |
+
<td class="nutrition-info__table--cell">{calc_percent}% DV</td>
|
| 268 |
</tr>
|
| 269 |
<tr class="nutrition-info__table--row">
|
| 270 |
<td class="nutrition-info__table--cell">Iron</td>
|
| 271 |
<td class="nutrition-info__table--cell">{iron}</td>
|
| 272 |
+
<td class="nutrition-info__table--cell">{iron_percent}% DV</td>
|
| 273 |
</tr>
|
| 274 |
<tr class="nutrition-info__table--row">
|
| 275 |
<td class="nutrition-info__table--cell">Potassium</td>
|
| 276 |
<td class="nutrition-info__table--cell">{pota}</td>
|
| 277 |
+
<td class="nutrition-info__table--cell">{pota_percent}% DV</td>
|
| 278 |
</tr>
|
| 279 |
</tbody>
|
| 280 |
</table>
|
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|
| 295 |
calc=random_recipe['Calcium'],
|
| 296 |
iron=random_recipe['Iron'],
|
| 297 |
pota=random_recipe['Potassium'],
|
| 298 |
+
protein=random_recipe['Protein'],
|
| 299 |
+
fat_percent=dv_percent[0],
|
| 300 |
+
sat_fat_percent=dv_percent[1],
|
| 301 |
+
chol_percent=dv_percent[2],
|
| 302 |
+
sodium_percent=dv_percent[3],
|
| 303 |
+
carb_percent=dv_percent[4],
|
| 304 |
+
diet_fibe_percent=dv_percent[5],
|
| 305 |
+
tot_sugars_percent=dv_percent[6],
|
| 306 |
+
protein_percent=dv_percent[7],
|
| 307 |
+
vitc_percent=dv_percent[8],
|
| 308 |
+
calc_percent=dv_percent[9],
|
| 309 |
+
iron_percent=dv_percent[10],
|
| 310 |
+
pota_percent=dv_percent[11]
|
| 311 |
+
|
| 312 |
)
|
| 313 |
|
| 314 |
# Define a function to apply the CSS styles to the table cells
|
|
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|
| 319 |
# Add the nutrition table to the Streamlit app
|
| 320 |
st.write("<h2 style='text-align:left;'>Nutrition Facts (per serving)</h2>", unsafe_allow_html=True)
|
| 321 |
st.write(f"<div style='max-height:none; overflow:auto'>{formatted_html}</div>", unsafe_allow_html=True)
|
| 322 |
+
st.write("<p style='text-align:left;'>*The % Daily Value (DV) tells you how much a nutrient in a food serving contributes to a daily diet. 2,000 calories a day is used for general nutrition advice.</p>", unsafe_allow_html=True)
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|
| 323 |
# create pie chart
|
| 324 |
labels = ['Total Fat', 'Saturated Fat', 'Cholesterol', 'Sodium', 'Total Carbohydrate', 'Dietary Fiber', 'Total Sugars', 'Protein', 'Vitamin C', 'Calcium', 'Iron', 'Potassium']
|
| 325 |
fig = go.Figure(data=[go.Pie(labels=labels, values=values)])
|
|
|
|
| 341 |
st.write("**Description:** ", response_json[0]['Description'])
|
| 342 |
st.write("**Ingredients:** ", response_json[0]['Ingredients'])
|
| 343 |
st.write("**Recipe Facts:** ", response_json[0]['Recipe Facts'])
|
| 344 |
+
st.write("**Directions:** ", response_json[0]['Directions'])
|
| 345 |
+
# extract only numeric values and convert mg to g
|
| 346 |
+
values = [
|
| 347 |
+
float(re.sub(r'[^\d.]+', '', response_json[0]['Total Fat'])),
|
| 348 |
+
float(re.sub(r'[^\d.]+', '', response_json[0]['Saturated Fat'])),
|
| 349 |
+
float(re.sub(r'[^\d.]+', '', response_json[0]['Cholesterol'])) / 1000,
|
| 350 |
+
float(re.sub(r'[^\d.]+', '', response_json[0]['Sodium'])) / 1000,
|
| 351 |
+
float(re.sub(r'[^\d.]+', '', response_json[0]['Total Carbohydrate'])),
|
| 352 |
+
float(re.sub(r'[^\d.]+', '', response_json[0]['Dietary Fiber'])),
|
| 353 |
+
float(re.sub(r'[^\d.]+', '', response_json[0]['Total Sugars'])),
|
| 354 |
+
float(re.sub(r'[^\d.]+', '', response_json[0]['Protein'])),
|
| 355 |
+
float(re.sub(r'[^\d.]+', '', response_json[0]['Vitamin C'])) / 1000,
|
| 356 |
+
float(re.sub(r'[^\d.]+', '', response_json[0]['Calcium'])) / 1000,
|
| 357 |
+
float(re.sub(r'[^\d.]+', '', response_json[0]['Iron'])) / 1000,
|
| 358 |
+
float(re.sub(r'[^\d.]+', '', response_json[0]['Potassium'])) / 1000
|
| 359 |
+
]
|
| 360 |
+
# Create a list of daily values (DV) for each nutrient based on a 2000 calorie per day diet, all are in grams
|
| 361 |
+
dv = [65, 20, 0.3, 2.3, 300, 28, 50, 50, 0.09, 1, 0.018, 4.7]
|
| 362 |
+
|
| 363 |
+
# Calculate the percentage of DV for each nutrient
|
| 364 |
+
dv_percent = [round(value * 100 / dv[i]) for i, value in enumerate(values)]
|
| 365 |
nutrition_html = """
|
| 366 |
<div id="nutrition-info_6-0" class="comp nutrition-info">
|
| 367 |
<table class="nutrition-info__table">
|
| 368 |
<thead>
|
| 369 |
<tr>
|
| 370 |
+
<th class="nutrition-info__heading" colspan="3">Number of Servings: <span class="nutrition-info__heading-aside">{servings}</span></th>
|
| 371 |
</tr>
|
| 372 |
</thead>
|
| 373 |
<tbody class="nutrition-info__table--body">
|
| 374 |
<tr class="nutrition-info__table--row">
|
| 375 |
<td class="nutrition-info__table--cell">Calories</td>
|
| 376 |
<td class="nutrition-info__table--cell">{calories}</td>
|
| 377 |
+
<td class="nutrition-info__table--cell"></td>
|
| 378 |
</tr>
|
| 379 |
<tr class="nutrition-info__table--row">
|
| 380 |
<td class="nutrition-info__table--cell">Total Fat</td>
|
| 381 |
<td class="nutrition-info__table--cell">{total_fat}</td>
|
| 382 |
+
<td class="nutrition-info__table--cell">{fat_percent}% DV</td>
|
| 383 |
</tr>
|
| 384 |
<tr class="nutrition-info__table--row">
|
| 385 |
<td class="nutrition-info__table--cell">Saturated Fat</td>
|
| 386 |
<td class="nutrition-info__table--cell">{saturated_fat}</td>
|
| 387 |
+
<td class="nutrition-info__table--cell">{sat_fat_percent}% DV</td>
|
| 388 |
</tr>
|
| 389 |
<tr class="nutrition-info__table--row">
|
| 390 |
<td class="nutrition-info__table--cell">Cholesterol</td>
|
| 391 |
<td class="nutrition-info__table--cell">{cholesterol}</td>
|
| 392 |
+
<td class="nutrition-info__table--cell">{chol_percent}% DV</td>
|
| 393 |
</tr>
|
| 394 |
<tr class="nutrition-info__table--row">
|
| 395 |
<td class="nutrition-info__table--cell">Sodium</td>
|
| 396 |
<td class="nutrition-info__table--cell">{sodium}</td>
|
| 397 |
+
<td class="nutrition-info__table--cell">{sodium_percent}% DV</td>
|
| 398 |
</tr>
|
| 399 |
<tr class="nutrition-info__table--row">
|
| 400 |
<td class="nutrition-info__table--cell">Total Carbohydrate</td>
|
| 401 |
<td class="nutrition-info__table--cell">{total_carbohydrate}</td>
|
| 402 |
+
<td class="nutrition-info__table--cell">{carb_percent}% DV</td>
|
| 403 |
</tr>
|
| 404 |
<tr class="nutrition-info__table--row">
|
| 405 |
<td class="nutrition-info__table--cell">Dietary Fiber</td>
|
| 406 |
<td class="nutrition-info__table--cell">{dietary_fiber}</td>
|
| 407 |
+
<td class="nutrition-info__table--cell">{diet_fibe_percent}% DV</td>
|
| 408 |
</tr>
|
| 409 |
<tr class="nutrition-info__table--row">
|
| 410 |
<td class="nutrition-info__table--cell">Total Sugars</td>
|
| 411 |
<td class="nutrition-info__table--cell">{total_sugars}</td>
|
| 412 |
+
<td class="nutrition-info__table--cell">{tot_sugars_percent}% DV</td>
|
| 413 |
</tr>
|
| 414 |
<tr class="nutrition-info__table--row">
|
| 415 |
<td class="nutrition-info__table--cell">Protein</td>
|
| 416 |
<td class="nutrition-info__table--cell">{protein}</td>
|
| 417 |
+
<td class="nutrition-info__table--cell">{protein_percent}% DV</td>
|
| 418 |
</tr>
|
| 419 |
<tr class="nutrition-info__table--row">
|
| 420 |
<td class="nutrition-info__table--cell">Vitamin C</td>
|
| 421 |
<td class="nutrition-info__table--cell">{vitc}</td>
|
| 422 |
+
<td class="nutrition-info__table--cell">{vitc_percent}% DV</td>
|
| 423 |
</tr>
|
| 424 |
<tr class="nutrition-info__table--row">
|
| 425 |
<td class="nutrition-info__table--cell">Calcium</td>
|
| 426 |
<td class="nutrition-info__table--cell">{calc}</td>
|
| 427 |
+
<td class="nutrition-info__table--cell">{calc_percent}% DV</td>
|
| 428 |
</tr>
|
| 429 |
<tr class="nutrition-info__table--row">
|
| 430 |
<td class="nutrition-info__table--cell">Iron</td>
|
| 431 |
<td class="nutrition-info__table--cell">{iron}</td>
|
| 432 |
+
<td class="nutrition-info__table--cell">{iron_percent}% DV</td>
|
| 433 |
</tr>
|
| 434 |
<tr class="nutrition-info__table--row">
|
| 435 |
<td class="nutrition-info__table--cell">Potassium</td>
|
| 436 |
<td class="nutrition-info__table--cell">{pota}</td>
|
| 437 |
+
<td class="nutrition-info__table--cell">{pota_percent}% DV</td>
|
| 438 |
</tr>
|
| 439 |
</tbody>
|
| 440 |
</table>
|
|
|
|
| 442 |
"""
|
| 443 |
# Use the nutrition HTML and format it with the values
|
| 444 |
formatted_html = nutrition_html.format(
|
| 445 |
+
calories=response_json[0]['Calories'],
|
| 446 |
+
total_fat=response_json[0]['Total Fat'],
|
| 447 |
+
saturated_fat=response_json[0]['Saturated Fat'],
|
| 448 |
+
cholesterol=response_json[0]['Cholesterol'],
|
| 449 |
+
sodium=response_json[0]['Sodium'],
|
| 450 |
+
total_carbohydrate=response_json[0]['Total Carbohydrate'],
|
| 451 |
+
dietary_fiber=response_json[0]['Dietary Fiber'],
|
| 452 |
+
total_sugars=response_json[0]['Total Sugars'],
|
| 453 |
+
servings=response_json[0]['Number of Servings'],
|
| 454 |
+
vitc=response_json[0]['Vitamin C'],
|
| 455 |
+
calc=response_json[0]['Calcium'],
|
| 456 |
+
iron=response_json[0]['Iron'],
|
| 457 |
+
pota=response_json[0]['Potassium'],
|
| 458 |
+
protein=response_json[0]['Protein'],
|
| 459 |
+
fat_percent=dv_percent[0],
|
| 460 |
+
sat_fat_percent=dv_percent[1],
|
| 461 |
+
chol_percent=dv_percent[2],
|
| 462 |
+
sodium_percent=dv_percent[3],
|
| 463 |
+
carb_percent=dv_percent[4],
|
| 464 |
+
diet_fibe_percent=dv_percent[5],
|
| 465 |
+
tot_sugars_percent=dv_percent[6],
|
| 466 |
+
protein_percent=dv_percent[7],
|
| 467 |
+
vitc_percent=dv_percent[8],
|
| 468 |
+
calc_percent=dv_percent[9],
|
| 469 |
+
iron_percent=dv_percent[10],
|
| 470 |
+
pota_percent=dv_percent[11]
|
| 471 |
+
|
| 472 |
)
|
| 473 |
|
| 474 |
# Define a function to apply the CSS styles to the table cells
|
|
|
|
| 479 |
# Add the nutrition table to the Streamlit app
|
| 480 |
st.write("<h2 style='text-align:left;'>Nutrition Facts (per serving)</h2>", unsafe_allow_html=True)
|
| 481 |
st.write(f"<div style='max-height:none; overflow:auto'>{formatted_html}</div>", unsafe_allow_html=True)
|
| 482 |
+
st.write("<p style='text-align:left;'>*The % Daily Value (DV) tells you how much a nutrient in a food serving contributes to a daily diet. 2,000 calories a day is used for general nutrition advice.</p>", unsafe_allow_html=True)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 483 |
# create pie chart
|
| 484 |
labels = ['Total Fat', 'Saturated Fat', 'Cholesterol', 'Sodium', 'Total Carbohydrate', 'Dietary Fiber', 'Total Sugars', 'Protein', 'Vitamin C', 'Calcium', 'Iron', 'Potassium']
|
| 485 |
fig = go.Figure(data=[go.Pie(labels=labels, values=values)])
|
| 486 |
st.markdown("### Macronutrients Pie Chart ;) (In Grams)")
|
| 487 |
+
st.plotly_chart(fig)
|
| 488 |
+
st.write("**Tags:** ", response_json[0]['Tags'])
|
| 489 |
+
st.write("**Recipe URL:** ", response_json[0]['Recipe URLs'])
|
| 490 |
st.markdown("### JSON Response:")
|
| 491 |
+
st.write(response_json)
|
| 492 |
|
| 493 |
st.markdown("<hr style='text-align: center;'>", unsafe_allow_html=True)
|
| 494 |
st.markdown("<p style='text-align: center'><a href='https://github.com/Kaludii'>Github</a> | <a href='https://huggingface.co/Kaludi'>HuggingFace</a></p>", unsafe_allow_html=True)
|
| 495 |
|
| 496 |
if __name__ == '__main__':
|
| 497 |
main()
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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