app.py

import gradio as gr
import pandas as pd
import speech_recognition as sr
pip install gradio pandas speechrecognition pyaudio

# Load recipes from CSV file
def load_recipes(file_path):
    df = pd.read_csv(file_path)
    recipes = []
    for _, row in df.iterrows():
        recipes.append({
            "name": row["name"],
            "ingredients": [i.strip() for i in row["ingredients"].split(',')],
            "steps": row["steps"]
        })
    return recipes

# Load recipes
recipes = load_recipes('recipes_arabic.csv')

def suggest_recipes(user_ingredients):
    user_ingredients = [i.strip().lower() for i in user_ingredients.split(',')]
    matching_recipes = []
    for recipe in recipes:
        recipe_ingredients = [i.strip().lower() for i in recipe['ingredients']]
        if all(ingredient in recipe_ingredients for ingredient in user_ingredients):
            ingredient_list = ', '.join(recipe['ingredients'])
            matching_recipes.append(f"{recipe['name']}\nIngredients: {ingredient_list}\nSteps: {recipe['steps']}")
    if not matching_recipes:
        return "لا توجد وصفات تتناسب مع المكونات المدخلة."
    return "\n\n".join(matching_recipes)

# Define the function to convert audio to text
def audio_to_text(audio_file):
    recognizer = sr.Recognizer()
    with sr.AudioFile(audio_file) as source:
        audio_data = recognizer.record(source)
        try:
            text = recognizer.recognize_google(audio_data, language="ar")
            return text
        except sr.UnknownValueError:
            return "لم أتمكن من فهم الصوت."
        except sr.RequestError:
            return "حدث خطأ في الاتصال بخدمة تحويل الصوت إلى نص."

def process_input(text_input, audio_file):
    if audio_file:
        user_ingredients = audio_to_text(audio_file)
    else:
        user_ingredients = text_input

    if not user_ingredients:
        return "يرجى إدخال المكونات."
    
    return suggest_recipes(user_ingredients)

# Create the Gradio interface
iface = gr.Interface(
    fn=process_input,
    inputs=[
        gr.Textbox(label="ادخل المكونات (مفصولة بفواصل)", placeholder="أدخل المكونات هنا", optional=True),
        gr.Audio(source="microphone", type="filepath", label="تحدث لتحديد المكونات", optional=True)
    ],
    outputs=gr.Textbox(label="الوصفات المقترحة"),
    title="اقتراحات الوصفات العربية",
    description="ادخل المكونات التي لديك للحصول على اقتراحات لوصفات عربية تقليدية. يمكنك أيضاً التحدث لتحديد المكونات."
)

if __name__ == "__main__":
    iface.launch()