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Runtime error
Runtime error
agung mofdac
commited on
Commit
•
9e972a3
1
Parent(s):
343181f
Update Classification_And_Recipes.py
Browse files- Classification_And_Recipes.py +408 -408
Classification_And_Recipes.py
CHANGED
@@ -14,7 +14,7 @@ import re
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st.set_page_config(layout='wide',
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page_title='
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)
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# st.sidebar.markdown("<h3 style='text-align: center;'>Project Location:</h3>", unsafe_allow_html=True)
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# st.image(image, width=260)
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# select_health = st.radio("Select One (Not Functional Yet):", ["Regular", "Low-Calorie"], horizontal=True)
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menu = st.sidebar.selectbox('Pilih Menu',['Prediksi Makanan', 'Rekomendasi Resep'])
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if menu == 'Prediksi Makanan':
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# Dropdown for Diet
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elif menu == 'Rekomendasi Resep':
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# print the calories
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st.write("Selected: **{}** Max Calories.".format(calories))
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else:
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random_recipe = random.choice(response_json)
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st.markdown("### Recommended Recipe:")
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st.write("**Title:** ", random_recipe['Title'])
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if random_recipe['Image Link'].endswith(".jpg") or random_recipe['Image Link'].endswith(".jpeg") or random_recipe['Image Link'].endswith(".png"):
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st.image(random_recipe['Image Link'], width=300)
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else:
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st.write("**Image Link:** ", random_recipe['Image Link'])
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st.write("**Rating:** ", random_recipe['Rating'])
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if random_recipe['Description'] != "Description not found":
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st.write("**Description:** ", random_recipe['Description'])
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st.write("**Ingredients:**<br>", random_recipe['Ingredients'].replace('\n', '<br>'), unsafe_allow_html=True)
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st.write("**Recipe Facts:**<br>", random_recipe['Recipe Facts'].replace('\n', '<br>'), unsafe_allow_html=True)
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st.write("**Directions:**<br>", random_recipe['Directions'].replace('\n', '<br>'), unsafe_allow_html=True)
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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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<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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<td class="nutrition-info__table--cell">{sat_fat_percent}% DV</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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<td class="nutrition-info__table--cell">{chol_percent}% DV</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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<td class="nutrition-info__table--cell">{sodium_percent}% DV</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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<td class="nutrition-info__table--cell">{carb_percent}% DV</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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<td class="nutrition-info__table--cell">{diet_fibe_percent}% DV</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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<td class="nutrition-info__table--cell">{tot_sugars_percent}% DV</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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<td class="nutrition-info__table--cell">{protein_percent}% DV</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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<td class="nutrition-info__table--cell">{vitc_percent}% DV</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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<td class="nutrition-info__table--cell">{calc_percent}% DV</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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<td class="nutrition-info__table--cell">{iron_percent}% DV</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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<td class="nutrition-info__table--cell">{pota_percent}% DV</td>
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</tr>
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</tbody>
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</table>
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</div>
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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=random_recipe['Calories'],
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total_fat=random_recipe['Total Fat'],
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saturated_fat=random_recipe['Saturated Fat'],
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cholesterol=random_recipe['Cholesterol'],
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sodium=random_recipe['Sodium'],
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total_carbohydrate=random_recipe['Total Carbohydrate'],
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dietary_fiber=random_recipe['Dietary Fiber'],
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total_sugars=random_recipe['Total Sugars'],
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servings=random_recipe['Number of Servings'],
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vitc=random_recipe['Vitamin C'],
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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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fat_percent=dv_percent[0],
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sat_fat_percent=dv_percent[1],
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chol_percent=dv_percent[2],
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sodium_percent=dv_percent[3],
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carb_percent=dv_percent[4],
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diet_fibe_percent=dv_percent[5],
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tot_sugars_percent=dv_percent[6],
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protein_percent=dv_percent[7],
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vitc_percent=dv_percent[8],
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calc_percent=dv_percent[9],
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iron_percent=dv_percent[10],
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pota_percent=dv_percent[11]
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)
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# Define a function to apply the CSS styles to the table cells
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def format_table(val):
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return f"background-color: #133350; color: #fff; border: 1px solid #ddd; border-radius: .25rem; padding: .625rem .625rem 0; font-family: Helvetica; font-size: 1rem;"
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with st.container():
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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;'>*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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# 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:** ", random_recipe['Tags'])
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st.write("**Recipe URL:** ", random_recipe['Recipe URLs'])
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st.write("*To download this recipe as a PDF, open the hamburger menu on the top right and click on Print.*")
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st.markdown("### JSON Response:")
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st.write(response_json)
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else:
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st.write("**
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st.write("**
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489 |
|
490 |
-
|
491 |
-
|
492 |
|
493 |
if __name__ == '__main__':
|
494 |
main()
|
|
|
14 |
|
15 |
|
16 |
st.set_page_config(layout='wide',
|
17 |
+
page_title='Recipes Recommender'
|
18 |
)
|
19 |
|
20 |
# st.sidebar.markdown("<h3 style='text-align: center;'>Project Location:</h3>", unsafe_allow_html=True)
|
|
|
61 |
# st.image(image, width=260)
|
62 |
|
63 |
# select_health = st.radio("Select One (Not Functional Yet):", ["Regular", "Low-Calorie"], horizontal=True)
|
64 |
+
# menu = st.sidebar.selectbox('Pilih Menu',['Prediksi Makanan', 'Rekomendasi Resep'])
|
65 |
+
# if menu == 'Prediksi Makanan':
|
66 |
|
67 |
+
# uploaded_file = st.file_uploader("Upload Files", type=['png','jpeg','jpg'])
|
68 |
|
69 |
+
# loading_text = st.empty()
|
70 |
|
71 |
+
# if uploaded_file != None:
|
72 |
+
# loading_text.markdown("Loading...")
|
73 |
+
# img = Image.open(uploaded_file)
|
74 |
+
# extractor = AutoFeatureExtractor.from_pretrained("Kaludi/food-category-classification-v2.0")
|
75 |
+
# model = AutoModelForImageClassification.from_pretrained("Kaludi/food-category-classification-v2.0")
|
76 |
+
# inputs = extractor(img, return_tensors="pt")
|
77 |
+
# outputs = model(**inputs)
|
78 |
+
# # ...
|
79 |
+
# loading_text.empty()
|
80 |
+
# label_num=outputs.logits.softmax(1).argmax(1)
|
81 |
+
# label_num=label_num.item()
|
82 |
|
83 |
|
84 |
+
# probs = outputs.logits.softmax(dim=1)
|
85 |
+
# percentage = round(probs[0, label_num].item() * 100, 2)
|
86 |
|
87 |
+
# st.markdown("### Your Image:")
|
88 |
+
# st.image(img, width=260)
|
89 |
|
90 |
+
# st.write("The Predicted Classification is:")
|
91 |
|
92 |
+
# if label_num==0:
|
93 |
+
# st.write("**Roti** (" + f"{percentage}%)")
|
94 |
+
# elif label_num==1:
|
95 |
+
# st.write("**Produk dari Susu** (" + f"{percentage}%)")
|
96 |
+
# elif label_num==2:
|
97 |
+
# st.write("**Kue** (" + f"{percentage}%)")
|
98 |
+
# elif label_num==3:
|
99 |
+
# st.write("**Telur** (" + f"{percentage}%)")
|
100 |
+
# elif label_num==4:
|
101 |
+
# st.write("**Gorengan** (" + f"{percentage}%)")
|
102 |
+
# elif label_num==5:
|
103 |
+
# st.write("**Buah** (" + f"{percentage}%)")
|
104 |
+
# elif label_num==6:
|
105 |
+
# st.write("**Daging** (" + f"{percentage}%)")
|
106 |
+
# elif label_num==7:
|
107 |
+
# st.write("**Mie** (" + f"{percentage}%)")
|
108 |
+
# elif label_num==8:
|
109 |
+
# st.write("**Nasi** (" + f"{percentage}%)")
|
110 |
+
# elif label_num==9:
|
111 |
+
# st.write("**Seafood** (" + f"{percentage}%)")
|
112 |
+
# elif label_num==10:
|
113 |
+
# st.write("**Sup** (" + f"{percentage}%)")
|
114 |
+
# else:
|
115 |
+
# st.write("**Sayuran** (" + f"{percentage}%)")
|
116 |
|
117 |
+
# # st.write("You Selected **{}** For Diet and **{}** For Cuisine with Max".format(diet, cuisine), calories, "Calories For", ( "**Bread**" if label_num==0 else "**Dairy**" if label_num==1 else "**Dessert**" if label_num==2 else "**Egg**" if label_num==3 else "**Fried Food**" if label_num==4 else "**Fruit**" if label_num==5 else "**Meat**" if label_num==6 else "**Noodles**" if label_num==7 else "**Rice**" if label_num==8 else "**Seafood**" if label_num==9 else "**Soup**" if label_num==10 else "**Vegetable**"))
|
118 |
|
119 |
+
# # Dropdown for Diet
|
120 |
+
# elif menu == 'Rekomendasi Resep':
|
121 |
+
diet_options = ['All', 'Gluten-Free', 'Vegan', 'Vegetarian', 'Dairy-Free']
|
122 |
+
diet = st.selectbox('Diet', diet_options)
|
123 |
+
|
124 |
+
# Dropdown for Cuisine
|
125 |
+
cuisine_options = ['All', 'African', 'Asian', 'Caribbean', 'Central American', 'Europe', 'Middle Eastern', 'North American', 'Oceanic', 'South American']
|
126 |
+
|
127 |
+
cuisine = st.selectbox('Cuisine', cuisine_options)
|
128 |
+
|
129 |
+
# Slider for Calories
|
130 |
+
calories = st.slider("Select Max Calories (Per Serving)", 25, 1000, 500)
|
131 |
|
132 |
+
# print the calories
|
133 |
+
st.write("Selected: **{}** Max Calories.".format(calories))
|
|
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|
134 |
|
135 |
+
url = "https://alcksyjrmd.execute-api.us-east-2.amazonaws.com/default/nutrients_response"
|
136 |
|
137 |
+
# Dropdown for Cuisine
|
138 |
+
cuisine_category = ['Bread', 'Dairy', 'Dessert', 'Egg', 'Fried', 'Fruit', 'Meat', 'Noodles', 'Rice','Seafood','Soup','Vegetable']
|
139 |
+
label_num = st.selectbox('Cuisine Type', cuisine_category)
|
140 |
+
category = ("Bread" if label_num==0 else "Dairy" if label_num==1 else "Dessert" if label_num==2 else "Egg" if label_num==3 else "Fried" if label_num==4 else "Fruit" if label_num==5 else "Meat" if label_num==6 else "Noodles" if label_num==7 else "Rice" if label_num==8 else "Seafood" if label_num==9 else "**Soup**" if label_num==10 else "Vegetable")
|
141 |
|
142 |
+
params = {"f": category, "k": str(calories)}
|
143 |
|
144 |
+
if diet != "All":
|
145 |
+
params["d"] = diet
|
146 |
|
147 |
+
if cuisine != "All":
|
148 |
+
params["c"] = cuisine
|
149 |
|
150 |
+
response = requests.get(url, params=params)
|
151 |
+
response_json = json.loads(response.content)
|
152 |
+
# Convert response_json to a list
|
153 |
+
response_json = list(response_json)
|
154 |
|
155 |
+
if len(response_json) == 0:
|
156 |
+
st.markdown("### Tidak ditemukan:")
|
157 |
+
st.write("**No recipes found. Please adjust your search criteria.**")
|
158 |
+
else:
|
159 |
+
if len(response_json) > 1:
|
160 |
+
random_recipe = random.choice(response_json)
|
161 |
+
if st.button("Get Recipe"):
|
162 |
+
response_json.remove(random_recipe)
|
163 |
+
if len(response_json) == 0:
|
164 |
+
st.write("No more recipes. Please adjust your search criteria.")
|
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|
165 |
else:
|
166 |
+
random_recipe = random.choice(response_json)
|
167 |
+
st.markdown("### Recommended Recipe:")
|
168 |
+
st.write("**Title:** ", random_recipe['Title'])
|
169 |
+
if random_recipe['Image Link'].endswith(".jpg") or random_recipe['Image Link'].endswith(".jpeg") or random_recipe['Image Link'].endswith(".png"):
|
170 |
+
st.image(random_recipe['Image Link'], width=300)
|
171 |
+
else:
|
172 |
+
st.write("**Image Link:** ", random_recipe['Image Link'])
|
173 |
+
st.write("**Rating:** ", random_recipe['Rating'])
|
174 |
+
if random_recipe['Description'] != "Description not found":
|
175 |
+
st.write("**Description:** ", random_recipe['Description'])
|
176 |
+
st.write("**Ingredients:**<br>", random_recipe['Ingredients'].replace('\n', '<br>'), unsafe_allow_html=True)
|
177 |
+
st.write("**Recipe Facts:**<br>", random_recipe['Recipe Facts'].replace('\n', '<br>'), unsafe_allow_html=True)
|
178 |
+
st.write("**Directions:**<br>", random_recipe['Directions'].replace('\n', '<br>'), unsafe_allow_html=True)
|
179 |
+
# extract only numeric values and convert mg to g
|
180 |
+
values = [
|
181 |
+
float(re.sub(r'[^\d.]+', '', random_recipe['Total Fat'])),
|
182 |
+
float(re.sub(r'[^\d.]+', '', random_recipe['Saturated Fat'])),
|
183 |
+
float(re.sub(r'[^\d.]+', '', random_recipe['Cholesterol'])) / 1000,
|
184 |
+
float(re.sub(r'[^\d.]+', '', random_recipe['Sodium'])) / 1000,
|
185 |
+
float(re.sub(r'[^\d.]+', '', random_recipe['Total Carbohydrate'])),
|
186 |
+
float(re.sub(r'[^\d.]+', '', random_recipe['Dietary Fiber'])),
|
187 |
+
float(re.sub(r'[^\d.]+', '', random_recipe['Total Sugars'])),
|
188 |
+
float(re.sub(r'[^\d.]+', '', random_recipe['Protein'])),
|
189 |
+
float(re.sub(r'[^\d.]+', '', random_recipe['Vitamin C'])) / 1000,
|
190 |
+
float(re.sub(r'[^\d.]+', '', random_recipe['Calcium'])) / 1000,
|
191 |
+
float(re.sub(r'[^\d.]+', '', random_recipe['Iron'])) / 1000,
|
192 |
+
float(re.sub(r'[^\d.]+', '', random_recipe['Potassium'])) / 1000
|
193 |
+
]
|
194 |
+
# Create a list of daily values (DV) for each nutrient based on a 2000 calorie per day diet, all are in grams
|
195 |
+
dv = [65, 20, 0.3, 2.3, 300, 28, 50, 50, 0.09, 1, 0.018, 4.7]
|
196 |
+
|
197 |
+
# Calculate the percentage of DV for each nutrient
|
198 |
+
dv_percent = [round(value * 100 / dv[i]) for i, value in enumerate(values)]
|
199 |
+
nutrition_html = """
|
200 |
+
<div id="nutrition-info_6-0" class="comp nutrition-info">
|
201 |
+
<table class="nutrition-info__table">
|
202 |
+
<thead>
|
203 |
+
<tr>
|
204 |
+
<th class="nutrition-info__heading" colspan="3">Number of Servings: <span class="nutrition-info__heading-aside">{servings}</span></th>
|
205 |
+
</tr>
|
206 |
+
</thead>
|
207 |
+
<tbody class="nutrition-info__table--body">
|
208 |
+
<tr class="nutrition-info__table--row">
|
209 |
+
<td class="nutrition-info__table--cell">Calories</td>
|
210 |
+
<td class="nutrition-info__table--cell">{calories}</td>
|
211 |
+
<td class="nutrition-info__table--cell"></td>
|
212 |
+
</tr>
|
213 |
+
<tr class="nutrition-info__table--row">
|
214 |
+
<td class="nutrition-info__table--cell">Total Fat</td>
|
215 |
+
<td class="nutrition-info__table--cell">{total_fat}</td>
|
216 |
+
<td class="nutrition-info__table--cell">{fat_percent}% DV</td>
|
217 |
+
</tr>
|
218 |
+
<tr class="nutrition-info__table--row">
|
219 |
+
<td class="nutrition-info__table--cell">Saturated Fat</td>
|
220 |
+
<td class="nutrition-info__table--cell">{saturated_fat}</td>
|
221 |
+
<td class="nutrition-info__table--cell">{sat_fat_percent}% DV</td>
|
222 |
+
</tr>
|
223 |
+
<tr class="nutrition-info__table--row">
|
224 |
+
<td class="nutrition-info__table--cell">Cholesterol</td>
|
225 |
+
<td class="nutrition-info__table--cell">{cholesterol}</td>
|
226 |
+
<td class="nutrition-info__table--cell">{chol_percent}% DV</td>
|
227 |
+
</tr>
|
228 |
+
<tr class="nutrition-info__table--row">
|
229 |
+
<td class="nutrition-info__table--cell">Sodium</td>
|
230 |
+
<td class="nutrition-info__table--cell">{sodium}</td>
|
231 |
+
<td class="nutrition-info__table--cell">{sodium_percent}% DV</td>
|
232 |
+
</tr>
|
233 |
+
<tr class="nutrition-info__table--row">
|
234 |
+
<td class="nutrition-info__table--cell">Total Carbohydrate</td>
|
235 |
+
<td class="nutrition-info__table--cell">{total_carbohydrate}</td>
|
236 |
+
<td class="nutrition-info__table--cell">{carb_percent}% DV</td>
|
237 |
+
</tr>
|
238 |
+
<tr class="nutrition-info__table--row">
|
239 |
+
<td class="nutrition-info__table--cell">Dietary Fiber</td>
|
240 |
+
<td class="nutrition-info__table--cell">{dietary_fiber}</td>
|
241 |
+
<td class="nutrition-info__table--cell">{diet_fibe_percent}% DV</td>
|
242 |
+
</tr>
|
243 |
+
<tr class="nutrition-info__table--row">
|
244 |
+
<td class="nutrition-info__table--cell">Total Sugars</td>
|
245 |
+
<td class="nutrition-info__table--cell">{total_sugars}</td>
|
246 |
+
<td class="nutrition-info__table--cell">{tot_sugars_percent}% DV</td>
|
247 |
+
</tr>
|
248 |
+
<tr class="nutrition-info__table--row">
|
249 |
+
<td class="nutrition-info__table--cell">Protein</td>
|
250 |
+
<td class="nutrition-info__table--cell">{protein}</td>
|
251 |
+
<td class="nutrition-info__table--cell">{protein_percent}% DV</td>
|
252 |
+
</tr>
|
253 |
+
<tr class="nutrition-info__table--row">
|
254 |
+
<td class="nutrition-info__table--cell">Vitamin C</td>
|
255 |
+
<td class="nutrition-info__table--cell">{vitc}</td>
|
256 |
+
<td class="nutrition-info__table--cell">{vitc_percent}% DV</td>
|
257 |
+
</tr>
|
258 |
+
<tr class="nutrition-info__table--row">
|
259 |
+
<td class="nutrition-info__table--cell">Calcium</td>
|
260 |
+
<td class="nutrition-info__table--cell">{calc}</td>
|
261 |
+
<td class="nutrition-info__table--cell">{calc_percent}% DV</td>
|
262 |
+
</tr>
|
263 |
+
<tr class="nutrition-info__table--row">
|
264 |
+
<td class="nutrition-info__table--cell">Iron</td>
|
265 |
+
<td class="nutrition-info__table--cell">{iron}</td>
|
266 |
+
<td class="nutrition-info__table--cell">{iron_percent}% DV</td>
|
267 |
+
</tr>
|
268 |
+
<tr class="nutrition-info__table--row">
|
269 |
+
<td class="nutrition-info__table--cell">Potassium</td>
|
270 |
+
<td class="nutrition-info__table--cell">{pota}</td>
|
271 |
+
<td class="nutrition-info__table--cell">{pota_percent}% DV</td>
|
272 |
+
</tr>
|
273 |
+
</tbody>
|
274 |
+
</table>
|
275 |
+
</div>
|
276 |
+
"""
|
277 |
+
# Use the nutrition HTML and format it with the values
|
278 |
+
formatted_html = nutrition_html.format(
|
279 |
+
calories=random_recipe['Calories'],
|
280 |
+
total_fat=random_recipe['Total Fat'],
|
281 |
+
saturated_fat=random_recipe['Saturated Fat'],
|
282 |
+
cholesterol=random_recipe['Cholesterol'],
|
283 |
+
sodium=random_recipe['Sodium'],
|
284 |
+
total_carbohydrate=random_recipe['Total Carbohydrate'],
|
285 |
+
dietary_fiber=random_recipe['Dietary Fiber'],
|
286 |
+
total_sugars=random_recipe['Total Sugars'],
|
287 |
+
servings=random_recipe['Number of Servings'],
|
288 |
+
vitc=random_recipe['Vitamin C'],
|
289 |
+
calc=random_recipe['Calcium'],
|
290 |
+
iron=random_recipe['Iron'],
|
291 |
+
pota=random_recipe['Potassium'],
|
292 |
+
protein=random_recipe['Protein'],
|
293 |
+
fat_percent=dv_percent[0],
|
294 |
+
sat_fat_percent=dv_percent[1],
|
295 |
+
chol_percent=dv_percent[2],
|
296 |
+
sodium_percent=dv_percent[3],
|
297 |
+
carb_percent=dv_percent[4],
|
298 |
+
diet_fibe_percent=dv_percent[5],
|
299 |
+
tot_sugars_percent=dv_percent[6],
|
300 |
+
protein_percent=dv_percent[7],
|
301 |
+
vitc_percent=dv_percent[8],
|
302 |
+
calc_percent=dv_percent[9],
|
303 |
+
iron_percent=dv_percent[10],
|
304 |
+
pota_percent=dv_percent[11]
|
305 |
+
|
306 |
+
)
|
307 |
+
|
308 |
+
# Define a function to apply the CSS styles to the table cells
|
309 |
+
def format_table(val):
|
310 |
+
return f"background-color: #133350; color: #fff; border: 1px solid #ddd; border-radius: .25rem; padding: .625rem .625rem 0; font-family: Helvetica; font-size: 1rem;"
|
311 |
+
|
312 |
+
with st.container():
|
313 |
+
# Add the nutrition table to the Streamlit app
|
314 |
+
st.write("<h2 style='text-align:left;'>Nutrition Facts (per serving)</h2>", unsafe_allow_html=True)
|
315 |
+
st.write(f"<div style='max-height:none; overflow:auto'>{formatted_html}</div>", unsafe_allow_html=True)
|
316 |
+
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)
|
317 |
+
# create pie chart
|
318 |
+
labels = ['Total Fat', 'Saturated Fat', 'Cholesterol', 'Sodium', 'Total Carbohydrate', 'Dietary Fiber', 'Total Sugars', 'Protein', 'Vitamin C', 'Calcium', 'Iron', 'Potassium']
|
319 |
+
fig = go.Figure(data=[go.Pie(labels=labels, values=values)])
|
320 |
+
st.markdown("### Macronutrients Pie Chart ;) (In Grams)")
|
321 |
+
st.plotly_chart(fig)
|
322 |
+
st.write("**Tags:** ", random_recipe['Tags'])
|
323 |
+
st.write("**Recipe URL:** ", random_recipe['Recipe URLs'])
|
324 |
+
st.write("*To download this recipe as a PDF, open the hamburger menu on the top right and click on Print.*")
|
325 |
+
st.markdown("### JSON Response:")
|
326 |
+
st.write(response_json)
|
327 |
|
328 |
+
else:
|
329 |
+
st.markdown("### Recommended Recipe:")
|
330 |
+
st.write("**Title:** ", response_json[0]['Title'])
|
331 |
+
if response_json[0]['Image Link'].endswith(".jpg") or response_json[0]['Image Link'].endswith(".jpeg") or response_json[0]['Image Link'].endswith(".png"):
|
332 |
+
st.image(response_json[0]['Image Link'], width=300)
|
333 |
+
else:
|
334 |
+
st.write("**Image Link:** ", response_json[0]['Image Link'])
|
335 |
+
st.write("**Rating:** ", response_json[0]['Rating'])
|
336 |
+
if response_json[0]['Description'] != "Description not found":
|
337 |
+
st.write("**Description:** ", response_json[0]['Description'])
|
338 |
+
st.write("**Ingredients:**<br>", response_json[0]['Ingredients'].replace('\n', '<br>'), unsafe_allow_html=True)
|
339 |
+
st.write("**Recipe Facts:**<br>", response_json[0]['Recipe Facts'].replace('\n', '<br>'), unsafe_allow_html=True)
|
340 |
+
st.write("**Directions:**<br>", response_json[0]['Directions'].replace('\n', '<br>'), unsafe_allow_html=True)
|
341 |
+
# extract only numeric values and convert mg to g
|
342 |
+
values = [
|
343 |
+
float(re.sub(r'[^\d.]+', '', response_json[0]['Total Fat'])),
|
344 |
+
float(re.sub(r'[^\d.]+', '', response_json[0]['Saturated Fat'])),
|
345 |
+
float(re.sub(r'[^\d.]+', '', response_json[0]['Cholesterol'])) / 1000,
|
346 |
+
float(re.sub(r'[^\d.]+', '', response_json[0]['Sodium'])) / 1000,
|
347 |
+
float(re.sub(r'[^\d.]+', '', response_json[0]['Total Carbohydrate'])),
|
348 |
+
float(re.sub(r'[^\d.]+', '', response_json[0]['Dietary Fiber'])),
|
349 |
+
float(re.sub(r'[^\d.]+', '', response_json[0]['Total Sugars'])),
|
350 |
+
float(re.sub(r'[^\d.]+', '', response_json[0]['Protein'])),
|
351 |
+
float(re.sub(r'[^\d.]+', '', response_json[0]['Vitamin C'])) / 1000,
|
352 |
+
float(re.sub(r'[^\d.]+', '', response_json[0]['Calcium'])) / 1000,
|
353 |
+
float(re.sub(r'[^\d.]+', '', response_json[0]['Iron'])) / 1000,
|
354 |
+
float(re.sub(r'[^\d.]+', '', response_json[0]['Potassium'])) / 1000
|
355 |
+
]
|
356 |
+
# Create a list of daily values (DV) for each nutrient based on a 2000 calorie per day diet, all are in grams
|
357 |
+
dv = [65, 20, 0.3, 2.3, 300, 28, 50, 50, 0.09, 1, 0.018, 4.7]
|
358 |
+
|
359 |
+
# Calculate the percentage of DV for each nutrient
|
360 |
+
dv_percent = [round(value * 100 / dv[i]) for i, value in enumerate(values)]
|
361 |
+
nutrition_html = """
|
362 |
+
<div id="nutrition-info_6-0" class="comp nutrition-info">
|
363 |
+
<table class="nutrition-info__table">
|
364 |
+
<thead>
|
365 |
+
<tr>
|
366 |
+
<th class="nutrition-info__heading" colspan="3">Number of Servings: <span class="nutrition-info__heading-aside">{servings}</span></th>
|
367 |
+
</tr>
|
368 |
+
</thead>
|
369 |
+
<tbody class="nutrition-info__table--body">
|
370 |
+
<tr class="nutrition-info__table--row">
|
371 |
+
<td class="nutrition-info__table--cell">Calories</td>
|
372 |
+
<td class="nutrition-info__table--cell">{calories}</td>
|
373 |
+
<td class="nutrition-info__table--cell"></td>
|
374 |
+
</tr>
|
375 |
+
<tr class="nutrition-info__table--row">
|
376 |
+
<td class="nutrition-info__table--cell">Total Fat</td>
|
377 |
+
<td class="nutrition-info__table--cell">{total_fat}</td>
|
378 |
+
<td class="nutrition-info__table--cell">{fat_percent}% DV</td>
|
379 |
+
</tr>
|
380 |
+
<tr class="nutrition-info__table--row">
|
381 |
+
<td class="nutrition-info__table--cell">Saturated Fat</td>
|
382 |
+
<td class="nutrition-info__table--cell">{saturated_fat}</td>
|
383 |
+
<td class="nutrition-info__table--cell">{sat_fat_percent}% DV</td>
|
384 |
+
</tr>
|
385 |
+
<tr class="nutrition-info__table--row">
|
386 |
+
<td class="nutrition-info__table--cell">Cholesterol</td>
|
387 |
+
<td class="nutrition-info__table--cell">{cholesterol}</td>
|
388 |
+
<td class="nutrition-info__table--cell">{chol_percent}% DV</td>
|
389 |
+
</tr>
|
390 |
+
<tr class="nutrition-info__table--row">
|
391 |
+
<td class="nutrition-info__table--cell">Sodium</td>
|
392 |
+
<td class="nutrition-info__table--cell">{sodium}</td>
|
393 |
+
<td class="nutrition-info__table--cell">{sodium_percent}% DV</td>
|
394 |
+
</tr>
|
395 |
+
<tr class="nutrition-info__table--row">
|
396 |
+
<td class="nutrition-info__table--cell">Total Carbohydrate</td>
|
397 |
+
<td class="nutrition-info__table--cell">{total_carbohydrate}</td>
|
398 |
+
<td class="nutrition-info__table--cell">{carb_percent}% DV</td>
|
399 |
+
</tr>
|
400 |
+
<tr class="nutrition-info__table--row">
|
401 |
+
<td class="nutrition-info__table--cell">Dietary Fiber</td>
|
402 |
+
<td class="nutrition-info__table--cell">{dietary_fiber}</td>
|
403 |
+
<td class="nutrition-info__table--cell">{diet_fibe_percent}% DV</td>
|
404 |
+
</tr>
|
405 |
+
<tr class="nutrition-info__table--row">
|
406 |
+
<td class="nutrition-info__table--cell">Total Sugars</td>
|
407 |
+
<td class="nutrition-info__table--cell">{total_sugars}</td>
|
408 |
+
<td class="nutrition-info__table--cell">{tot_sugars_percent}% DV</td>
|
409 |
+
</tr>
|
410 |
+
<tr class="nutrition-info__table--row">
|
411 |
+
<td class="nutrition-info__table--cell">Protein</td>
|
412 |
+
<td class="nutrition-info__table--cell">{protein}</td>
|
413 |
+
<td class="nutrition-info__table--cell">{protein_percent}% DV</td>
|
414 |
+
</tr>
|
415 |
+
<tr class="nutrition-info__table--row">
|
416 |
+
<td class="nutrition-info__table--cell">Vitamin C</td>
|
417 |
+
<td class="nutrition-info__table--cell">{vitc}</td>
|
418 |
+
<td class="nutrition-info__table--cell">{vitc_percent}% DV</td>
|
419 |
+
</tr>
|
420 |
+
<tr class="nutrition-info__table--row">
|
421 |
+
<td class="nutrition-info__table--cell">Calcium</td>
|
422 |
+
<td class="nutrition-info__table--cell">{calc}</td>
|
423 |
+
<td class="nutrition-info__table--cell">{calc_percent}% DV</td>
|
424 |
+
</tr>
|
425 |
+
<tr class="nutrition-info__table--row">
|
426 |
+
<td class="nutrition-info__table--cell">Iron</td>
|
427 |
+
<td class="nutrition-info__table--cell">{iron}</td>
|
428 |
+
<td class="nutrition-info__table--cell">{iron_percent}% DV</td>
|
429 |
+
</tr>
|
430 |
+
<tr class="nutrition-info__table--row">
|
431 |
+
<td class="nutrition-info__table--cell">Potassium</td>
|
432 |
+
<td class="nutrition-info__table--cell">{pota}</td>
|
433 |
+
<td class="nutrition-info__table--cell">{pota_percent}% DV</td>
|
434 |
+
</tr>
|
435 |
+
</tbody>
|
436 |
+
</table>
|
437 |
+
</div>
|
438 |
+
"""
|
439 |
+
# Use the nutrition HTML and format it with the values
|
440 |
+
formatted_html = nutrition_html.format(
|
441 |
+
calories=response_json[0]['Calories'],
|
442 |
+
total_fat=response_json[0]['Total Fat'],
|
443 |
+
saturated_fat=response_json[0]['Saturated Fat'],
|
444 |
+
cholesterol=response_json[0]['Cholesterol'],
|
445 |
+
sodium=response_json[0]['Sodium'],
|
446 |
+
total_carbohydrate=response_json[0]['Total Carbohydrate'],
|
447 |
+
dietary_fiber=response_json[0]['Dietary Fiber'],
|
448 |
+
total_sugars=response_json[0]['Total Sugars'],
|
449 |
+
servings=response_json[0]['Number of Servings'],
|
450 |
+
vitc=response_json[0]['Vitamin C'],
|
451 |
+
calc=response_json[0]['Calcium'],
|
452 |
+
iron=response_json[0]['Iron'],
|
453 |
+
pota=response_json[0]['Potassium'],
|
454 |
+
protein=response_json[0]['Protein'],
|
455 |
+
fat_percent=dv_percent[0],
|
456 |
+
sat_fat_percent=dv_percent[1],
|
457 |
+
chol_percent=dv_percent[2],
|
458 |
+
sodium_percent=dv_percent[3],
|
459 |
+
carb_percent=dv_percent[4],
|
460 |
+
diet_fibe_percent=dv_percent[5],
|
461 |
+
tot_sugars_percent=dv_percent[6],
|
462 |
+
protein_percent=dv_percent[7],
|
463 |
+
vitc_percent=dv_percent[8],
|
464 |
+
calc_percent=dv_percent[9],
|
465 |
+
iron_percent=dv_percent[10],
|
466 |
+
pota_percent=dv_percent[11]
|
467 |
+
|
468 |
+
)
|
469 |
+
|
470 |
+
# Define a function to apply the CSS styles to the table cells
|
471 |
+
def format_table(val):
|
472 |
+
return f"background-color: #133350; color: #fff; border: 1px solid #ddd; border-radius: .25rem; padding: .625rem .625rem 0; font-family: Helvetica; font-size: 1rem;"
|
473 |
+
|
474 |
+
with st.container():
|
475 |
+
# Add the nutrition table to the Streamlit app
|
476 |
+
st.write("<h2 style='text-align:left;'>Nutrition Facts (per serving)</h2>", unsafe_allow_html=True)
|
477 |
+
st.write(f"<div style='max-height:none; overflow:auto'>{formatted_html}</div>", unsafe_allow_html=True)
|
478 |
+
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)
|
479 |
+
# create pie chart
|
480 |
+
labels = ['Total Fat', 'Saturated Fat', 'Cholesterol', 'Sodium', 'Total Carbohydrate', 'Dietary Fiber', 'Total Sugars', 'Protein', 'Vitamin C', 'Calcium', 'Iron', 'Potassium']
|
481 |
+
fig = go.Figure(data=[go.Pie(labels=labels, values=values)])
|
482 |
+
st.markdown("### Macronutrients Pie Chart ;) (In Grams)")
|
483 |
+
st.plotly_chart(fig)
|
484 |
+
st.write("**Tags:** ", response_json[0]['Tags'])
|
485 |
+
st.write("**Recipe URL:** ", response_json[0]['Recipe URLs'])
|
486 |
+
st.write("*To download this recipe as a PDF, open the hamburger menu on the top right and click on Print.*")
|
487 |
+
st.markdown("### JSON Response:")
|
488 |
+
st.write(response_json)
|
489 |
|
490 |
+
st.markdown("<hr style='text-align: center;'>", unsafe_allow_html=True)
|
491 |
+
# 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)
|
492 |
|
493 |
if __name__ == '__main__':
|
494 |
main()
|