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| import os | |
| from dotenv import load_dotenv | |
| import gradio as gr | |
| from langchain_huggingface import HuggingFaceEndpoint | |
| # Load environment variables | |
| load_dotenv() | |
| HF_TOKEN = os.getenv("HF_TOKEN") | |
| # Initialize the HuggingFace inference endpoint | |
| llm = HuggingFaceEndpoint( | |
| repo_id="mistralai/Mistral-7B-Instruct-v0.3", | |
| huggingfacehub_api_token=HF_TOKEN.strip(), | |
| temperature=0.7, | |
| ) | |
| # Input validation function | |
| def validate_ingredients(ingredients): | |
| prompt = ( | |
| f"Review the provided list of items: {ingredients}. " | |
| f"Determine if all items are valid food ingredients. " | |
| f"Respond only with 'Valid' if all are valid food items or 'Invalid' if any are not." | |
| ) | |
| response = llm(prompt) | |
| return response.strip() | |
| # Recipe generation function | |
| def generate_recipe(ingredients): | |
| prompt = ( | |
| f"You are an expert chef. Using the ingredients: {ingredients}, " | |
| f"suggest two recipes. Provide a title, preparation time, and step-by-step instructions. " | |
| f"It is not mandatory to include all ingredients, pick the ingredients required for each recipe. " | |
| f"Do not include the ingredient list explicitly in the response." | |
| ) | |
| response = llm(prompt) | |
| return response.strip() | |
| # Combined function for Gradio | |
| def suggest_recipes(ingredients): | |
| validation_result = validate_ingredients(ingredients) | |
| if validation_result == "Valid": | |
| return generate_recipe(ingredients) | |
| else: | |
| return "I'm sorry, but I can't process this request due to invalid ingredients. Please provide valid ingredients for cooking!" | |
| # Gradio interface | |
| with gr.Blocks() as app: | |
| gr.Markdown("# Recipe Suggestion App") | |
| gr.Markdown("Provide the ingredients you have, and this app will validate them and suggest a recipe!") | |
| with gr.Row(): | |
| ingredients_input = gr.Textbox(label="Enter Ingredients (comma-separated):", placeholder="e.g., eggs, milk, flour") | |
| recipe_output = gr.Textbox(label="Suggested Recipes or Validation Result:", lines=15, interactive=False) | |
| generate_button = gr.Button("Get Recipes") | |
| generate_button.click(suggest_recipes, inputs=ingredients_input, outputs=recipe_output) | |
| # Launch the app | |
| app.launch() | |