Create app.py
Browse files
app.py
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import gradio as gr
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import base64
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import requests
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import io
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from PIL import Image
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import json
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import os
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from together import Together
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import tempfile
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def encode_image_to_base64(image_path):
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"""Convert image to base64 encoding"""
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with open(image_path, "rb") as image_file:
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return base64.b64encode(image_file.read()).decode('utf-8')
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def save_uploaded_image(image):
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"""Save uploaded image to a temporary file and return the path"""
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if image is None:
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return None
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with tempfile.NamedTemporaryFile(delete=False, suffix='.jpg') as temp_file:
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if isinstance(image, dict) and "path" in image: # Gradio returns image as dict
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# Copy the uploaded image to our temporary file
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with open(image["path"], "rb") as img_file:
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temp_file.write(img_file.read())
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elif isinstance(image, Image.Image):
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# If it's a PIL Image, save it
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image.save(temp_file.name, format="JPEG")
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else:
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# Try to handle other formats
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try:
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Image.open(image).save(temp_file.name, format="JPEG")
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except Exception:
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return None
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return temp_file.name
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def get_recipe_suggestions(api_key, image, num_recipes=3, dietary_restrictions="None"):
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"""
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Get recipe suggestions based on the uploaded image of ingredients
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"""
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if not api_key or not image:
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return "Please provide both an API key and an image of ingredients."
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# Save the uploaded image
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image_path = save_uploaded_image(image)
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if not image_path:
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return "Failed to process the uploaded image."
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try:
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# Initialize Together client with the provided API key
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client = Together(api_key=api_key)
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# Create the prompt for the model
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system_prompt = """You are a culinary expert AI assistant that specializes in creating recipes based on available ingredients.
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Analyze the provided image of ingredients and suggest creative, detailed recipes.
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For each recipe suggestion, include:
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1. Recipe name
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2. Brief description of the dish
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3. Complete ingredients list (including estimated quantities and any additional staple ingredients that might be needed)
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4. Step-by-step cooking instructions
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5. Approximate cooking time
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6. Difficulty level (Easy, Medium, Advanced)
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7. Nutritional highlights
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Consider any dietary restrictions mentioned by the user."""
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user_prompt = f"""Based on the ingredients shown in this image, suggest {num_recipes} creative and delicious recipes.
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Dietary restrictions to consider: {dietary_restrictions}
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Please be specific about what ingredients you can identify in the image and creative with your recipe suggestions."""
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# Create message with image
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response = client.chat.completions.create(
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model="meta-llama/Llama-Vision-Free",
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messages=[
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{
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"role": "system",
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"content": system_prompt
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},
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{
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"role": "user",
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"content": [
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{
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"type": "text",
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"text": user_prompt
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},
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{
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"type": "image_url",
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"image_url": {
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"url": f"file://{image_path}"
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}
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}
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]
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}
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],
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max_tokens=2048,
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temperature=0.7
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)
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# Clean up the temporary file
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try:
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os.unlink(image_path)
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except:
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pass
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return response.choices[0].message.content
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except Exception as e:
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# Clean up the temporary file in case of error
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try:
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os.unlink(image_path)
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except:
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pass
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return f"Error: {str(e)}"
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# Create the Gradio interface
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with gr.Blocks(title="Visual Recipe Assistant") as app:
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gr.Markdown("# 🍲 Visual Recipe Assistant")
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gr.Markdown("Upload an image of ingredients you have, and get creative recipe suggestions!")
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with gr.Row():
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with gr.Column(scale=1):
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api_key_input = gr.Textbox(
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label="Together API Key",
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placeholder="Enter your Together API key here...",
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type="password"
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)
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image_input = gr.Image(
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label="Upload Image of Ingredients",
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type="filepath"
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)
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with gr.Row():
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num_recipes = gr.Slider(
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minimum=1,
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maximum=5,
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value=3,
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step=1,
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label="Number of Recipe Suggestions"
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)
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dietary_restrictions = gr.Dropdown(
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choices=["None", "Vegetarian", "Vegan", "Gluten-Free", "Dairy-Free", "Low-Carb", "Keto"],
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value="None",
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label="Dietary Restrictions"
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)
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submit_button = gr.Button("Get Recipe Suggestions", variant="primary")
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with gr.Column(scale=2):
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output = gr.Markdown(label="Recipe Suggestions")
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# Set up the submission action
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submit_button.click(
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fn=get_recipe_suggestions,
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inputs=[api_key_input, image_input, num_recipes, dietary_restrictions],
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outputs=output
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)
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gr.Markdown("""
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## How to Use
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1. Enter your Together API key
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2. Upload an image of ingredients you have available
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163 |
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3. Adjust the number of recipes you'd like to receive
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164 |
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4. Select any dietary restrictions
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5. Click "Get Recipe Suggestions"
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## About
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168 |
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This app uses the Llama-Vision-Free multimodal model from Meta to analyze images of ingredients
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169 |
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and suggest creative recipes based on what it identifies.
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""")
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+
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# Launch the app
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if __name__ == "__main__":
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app.launch()
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