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LuckyHappyFish
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Parent(s):
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Im strugglign
Browse files
app.py
CHANGED
@@ -3,7 +3,7 @@ from transformers import pipeline
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from PIL import Image
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from huggingface_hub import InferenceClient
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import os
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# Set page configuration
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st.set_page_config(
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@@ -17,113 +17,13 @@ def local_css():
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st.markdown(
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"""
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<style>
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/*
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.main { background-color: #f5f7fa; }
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/* Title styling */
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.title h1 {
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font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
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text-align: center;
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color: #007ACC; /* Changed to blue */
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font-size: 3rem;
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margin-bottom: 20px;
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}
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/* Image styling */
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.st-image img {
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border-radius: 15px;
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margin-bottom: 20px;
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max-width: 100%;
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}
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/* Sidebar styling */
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[data-testid="stSidebar"] {
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background-color: #ffffff; /* Changed to white */
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border-right: 1px solid #e6e6e6;
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}
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[data-testid="stSidebar"] .css-ng1t4o { color: #333333; }
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[data-testid="stSidebar"] .css-1d391kg { color: #333333; }
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/* File uploader styling */
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.stFileUploader {
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border: 2px dashed #007ACC; /* Changed to blue */
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border-radius: 10px;
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padding: 20px;
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text-align: center;
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color: #007ACC; /* Changed to blue */
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background-color: #ffffff;
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font-weight: bold;
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}
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/* File uploader hover effect */
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.stFileUploader:hover {
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background-color: #e6f2ff; /* Light blue hover effect */
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}
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/* Button styling */
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.stButton>button {
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background-color: #007ACC; /* Changed to blue */
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color: white;
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border: none;
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padding: 0.7rem 1.5rem;
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border-radius: 5px;
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font-size: 1.1rem;
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font-weight: bold;
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margin-top: 10px;
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cursor: pointer;
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}
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.stButton>button:hover {
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background-color: #005a99; /* Darker blue on hover */
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color: white;
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}
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/* Headers styling */
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h2 {
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color: #007ACC; /* Changed to blue */
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margin-top: 30px;
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font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
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}
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h3 {
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color: #007ACC; /* Changed to blue */
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font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
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}
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/* Text styling */
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.stMarkdown p { font-size: 1.1rem; color: #333333; }
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/* Footer styling */
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footer { visibility: hidden; }
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/* Hide sidebar on small screens */
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@media only screen and (max-width: 600px) {
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[data-testid="stSidebar"] { display: none; }
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.main .block-container { padding-left: 1rem; padding-right: 1rem; }
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.title h1 { font-size: 2rem; }
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.stButton>button { width: 100%; }
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}
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/* Sample images grid */
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.sample-images {
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display: flex;
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justify-content: center;
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flex-wrap: wrap;
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gap: 10px;
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}
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.sample-images img {
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width: 150px;
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height: 150px;
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object-fit: cover;
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border-radius: 10px;
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cursor: pointer;
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border: 2px solid transparent;
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}
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.sample-images img:hover {
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border: 2px solid #007ACC; /* Changed to blue */
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}
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</style>
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""", unsafe_allow_html=True
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)
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# Hugging Face API key
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API_KEY = st.secrets["HF_API_KEY"]
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@@ -157,6 +57,9 @@ def get_ingredients_qwen(food_name):
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except Exception as e:
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return f"Error generating ingredients: {e}"
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# Main content
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st.markdown('<div class="title"><h1>DelishAI - Your Culinary Assistant</h1></div>', unsafe_allow_html=True)
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st.markdown("---")
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st.markdown("<p style='text-align: center;'>Developed by Muhammad Hassan Butt.</p>", unsafe_allow_html=True)
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#
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st.subheader("Or try one of these sample images:")
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sample_images = {
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"
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"
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"Salad": "sample_images/salad.jpg"
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}
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cols = st.columns(len(sample_images))
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for idx, (name, file_path) in enumerate(sample_images.items()):
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with cols[idx]:
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@@ -206,7 +108,7 @@ if 'uploaded_file' in locals() and uploaded_file is not None:
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# Display only the top prediction
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top_food = predictions[0]['label']
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st.header(f"🍽️ Food: {top_food}")
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# Generate and display ingredients for the top prediction
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st.subheader("📝 Ingredients")
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try:
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@@ -215,14 +117,27 @@ if 'uploaded_file' in locals() and uploaded_file is not None:
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except Exception as e:
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st.error(f"Error generating ingredients: {e}")
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st.subheader("💡 Healthier Alternatives")
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try:
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)
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st.write(result)
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except Exception as e:
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st.error(f"Unable to
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else:
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st.info("Please select or upload an image to get started.")
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from PIL import Image
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from huggingface_hub import InferenceClient
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import os
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import openai # Added import
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# Set page configuration
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st.set_page_config(
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st.markdown(
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"""
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<style>
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/* [Your existing CSS styles here] */
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</style>
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""", unsafe_allow_html=True
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)
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local_css() # Apply the CSS
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# Hugging Face API key
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API_KEY = st.secrets["HF_API_KEY"]
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except Exception as e:
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return f"Error generating ingredients: {e}"
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# **Set OpenAI API Key**
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openai.api_key = st.secrets["openai"]["api_key"] # Ensure you have this in your secrets
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# Main content
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st.markdown('<div class="title"><h1>DelishAI - Your Culinary Assistant</h1></div>', unsafe_allow_html=True)
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st.markdown("---")
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st.markdown("<p style='text-align: center;'>Developed by Muhammad Hassan Butt.</p>", unsafe_allow_html=True)
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# Assuming `sample_images` is defined somewhere in your code
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sample_images = {
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"Pizza": "path_to_pizza_image.jpg",
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"Salad": "path_to_salad_image.jpg",
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# Add more sample images as needed
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}
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cols = st.columns(len(sample_images))
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for idx, (name, file_path) in enumerate(sample_images.items()):
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with cols[idx]:
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# Display only the top prediction
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top_food = predictions[0]['label']
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st.header(f"🍽️ Food: {top_food}")
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# Generate and display ingredients for the top prediction
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st.subheader("📝 Ingredients")
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try:
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except Exception as e:
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st.error(f"Error generating ingredients: {e}")
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# **Healthier Alternatives using OpenAI API**
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st.subheader("💡 Healthier Alternatives")
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try:
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response = openai.ChatCompletion.create(
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model="gpt-4o", # You can choose the model you prefer
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messages=[
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{
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"role": "system",
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"content": "You are a helpful assistant specializing in providing healthy alternatives to various dishes."
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},
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{
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"role": "user",
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"content": f"What's a healthy {top_food} recipe, and why is it healthy?"
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}
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],
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max_tokens=200, # Adjust as needed
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temperature=0.7, # Adjust creativity level as needed
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)
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result = response['choices'][0]['message']['content'].strip()
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st.write(result)
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except Exception as e:
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st.error(f"Unable to generate healthier alternatives: {e}")
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else:
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st.info("Please select or upload an image to get started.")
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