import os from dotenv import load_dotenv import gradio as gr from langchain_huggingface import HuggingFaceEndpoint from datetime import datetime # Load environment variables load_dotenv() HF_TOKEN = os.getenv("HF_TOKEN") # Check if token exists and handle error gracefully if not HF_TOKEN: raise ValueError("HF_TOKEN environment variable not found. Please set it in your .env file.") # 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): if not ingredients or ingredients.strip() == "": return "Invalid" 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): if not ingredients or ingredients.strip() == "": return "Please enter ingredients before submitting." validation_result = validate_ingredients(ingredients) if "Valid" in validation_result: # More flexible check for "Valid" in response return generate_recipe(ingredients) else: return "I'm sorry, but I can't process this request due to invalid ingredients. Please provide valid food ingredients for cooking!" # Feedback function def save_feedback(feedback): if feedback.strip(): try: with open("feedback.txt", "a") as file: file.write(f"{datetime.now()}: {feedback}\n") return "Thank you for your feedback!" except Exception as e: return f"Error saving feedback: {str(e)}" return "Please enter feedback before submitting." # Gradio interface with professional color theme with gr.Blocks(theme=gr.themes.Monochrome(primary_hue="blue")) as app: # Header section with professional background and white text with gr.Row(): gr.HTML( """

🍳 Recipe Generator

Enter the ingredients you have, and we'll validate them and suggest delightful recipes!

""" ) # Banner Image - Check if file exists first try: with gr.Row(): gr.Image("./recipe-generator-banner.png", show_label=False, elem_id="banner-image", width="100%") except Exception: # Skip banner if image doesn't exist pass # Ingredient input and output with borders and padding for more contrast with gr.Row(): with gr.Column(): ingredients_input = gr.Textbox( label="Enter Ingredients (comma-separated):", placeholder="e.g., eggs, milk, flour", elem_id="input-box", show_label=True, interactive=True, lines=2, max_lines=5 ) with gr.Column(): recipe_output = gr.Textbox( label="Suggested Recipes or Validation Result:", lines=15, interactive=False, elem_id="output-box" ) # Buttons with professional color design and hover effect with gr.Row(): generate_button = gr.Button("Get Recipes", elem_id="generate-btn", size="lg") reset_button = gr.Button("Reset", elem_id="reset-btn", size="lg") generate_button.click(suggest_recipes, inputs=ingredients_input, outputs=recipe_output) reset_button.click(lambda: "", inputs=None, outputs=ingredients_input) # Feedback Section with professional styled input fields with gr.Row(): feedback_input = gr.Textbox( label="Feedback:", placeholder="Let us know how we can improve!", elem_id="feedback-input", lines=1 ) feedback_button = gr.Button("Submit", elem_id="feedback-btn", size="lg") feedback_output = gr.Textbox( label="Feedback Response:", lines=1, interactive=False, elem_id="feedback-output" ) feedback_button.click(save_feedback, inputs=feedback_input, outputs=feedback_output) # Footer with contact link with gr.Row(): gr.Markdown( """

Developed by CloudYuga! Your feedback is valuable. Have questions? Contact us!

""" ) # Apply custom professional theme styling app.css = """ body { background-color: #f4f4f9; /* Soft background */ color: #333333; font-family: 'Arial', sans-serif; } #input-box, #output-box, #feedback-input { background-color: #ffffff; border: 2px solid #cccccc; border-radius: 8px; padding: 12px; color: #333333; font-size: 1.1em; } #generate-btn, #reset-btn, #feedback-btn { border-radius: 8px; padding: 15px 30px; font-size: 1.2em; transition: background-color 0.3s ease; } #generate-btn { background-color: #4caf50; /* Green for recipe button */ color: #fff; } #generate-btn:hover { background-color: #45a049; } #reset-btn { background-color: #ff9800; /* Orange for reset button */ color: #fff; } #reset-btn:hover { background-color: #fb8c00; } #feedback-btn { background-color: #2196f3; /* Blue for feedback button */ color: #fff; } #feedback-btn:hover { background-color: #1e88e5; } #banner-image { width: 100%; height: auto; border-radius: 10px; box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1); } """ # Launch the app if __name__ == "__main__": app.launch()