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import streamlit as st
import openai
from PIL import Image
import io
import base64
import os
openai.api_key = os.getenv("openapikey")
def generate_recipe(image_file):
try:
# Convert uploaded image to base64
img = Image.open(image_file)
buffered = io.BytesIO()
img.save(buffered, format="JPEG")
img_base64 = base64.b64encode(buffered.getvalue()).decode('utf-8')
response = openai.chat.completions.create(
model="gpt-4o", #Correct Model.
messages=[
{
"role": "user",
"content": [
{"type": "text", "text": "What is this food? Generate a recipe for it."},
{
"type": "image_url",
"image_url": {
"url": f"data:image/jpeg;base64,{img_base64}"
},
},
],
}
],
max_tokens=500,
)
return response.choices[0].message.content.strip()
except Exception as e:
st.error(f"An error occurred: {e}")
return None
st.title("Recipe from Image")
url='https://jonascleveland.com/wp-content/uploads/2023/08/12-Best-AI-Recipe-Generators-The-Culinary-Revolution-in-the-Digital-Era-2.png'
st.image(url,width=800,)
st.markdown(f"""
<style>
/* Set the background image for the entire app */
.stApp {{
# background-image: url("https://i.pinimg.com/736x/29/51/8d/29518df9a720818938a3a58cf6c026df.jpg");
background-color: #A9A9A9;
background-size: 100px;
background-repeat:no;
background-attachment: auto;
background-position:center;
}}
</style>
""", unsafe_allow_html=True)
uploaded_file = st.file_uploader("Upload an image", type=["jpg", "jpeg", "png"])
if uploaded_file:
with st.spinner("Generating recipe..."):
recipe = generate_recipe(uploaded_file)
if recipe:
st.write(recipe) |