app.py

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")

# 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!"

# Feedback function
def save_feedback(feedback):
    if feedback.strip():
        with open("feedback.txt", "a") as file:
            file.write(f"{datetime.now()}: {feedback}\n")
        return "Thank you for your feedback!"
    return "Please enter feedback before submitting."

# Gradio interface with professional color theme
with gr.Blocks(theme=gr.themes.Soft(primary_hue="blue", secondary_hue="gray")) as app:
    # Header section with professional background and white text
    with gr.Row():
        gr.HTML(
            """
            <div style="text-align: center; margin: auto;">
                <h1 style="color: #1155ff; font-size: 3.5em; font-weight: bold; font-family: 'Arial', sans-serif;">🍳 Recipe Generator !</h1>
                <p style="font-size: 1.5em; color: #555555; font-weight: lighter; font-family: 'Verdana', sans-serif;">
                    Enter the ingredients you have, and we'll validate them and suggest delightful recipes!
                </p>
            </div>
            """
        )

    # Banner Image
   # with gr.Row():
    #    gr.Image("./recipe-generator-banner.png", show_label=False)

    with gr.Row():
        gr.Image("./recipe-generator-banner.png", show_label=False, elem_id="banner-image", width="100%")
        
    # 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
            )
        
        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
    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(
            """
            <div style="text-align: center; margin-top: 2em;">
                <p style="font-size: 1em; color:#333333; font-family: 'Arial', sans-serif;">
                    Developed by CloudYuga! Your feedback is valuable. Have questions? 
                    <a href="mailto:connect@cloudyuga.guru" style="color: #0000FF; font-weight: bold; text-decoration: underline;">Contact us!</a>
                </p>
            </div>
            """
        )

    # Apply custom professional theme styling
    app.css = """
    body {
        background-color: #FFFFFF; /* White background */
        color: #333333;
    }
    #input-box, #output-box, #feedback-input {
        background-color: #FFFFFF;
        border: 2px solid #CCCCCC;
        border-radius: 8px;
        padding: 10px;
        color: #333333;
    }
    #generate-btn, #reset-btn, #feedback-btn {
        border-radius: 8px;
        padding: 15px 30px;
        font-size: 1.2em;
    }
    #generate-btn {
       background-color: #DDDDDD;
        color: #333333;
    }
    #reset-btn {
        background-color: #DDDDDD;
        color: #333333;
    }
    #feedback-btn {
        background-color: #DDDDDD;
        color: #333333;
    }
    #banner-image {
        width: 100%;
        height: auto;
    }
    """ 

# Launch the app
app.launch()