app.py

import gradio as gr
from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
import torch
import spaces

def get_model_name(language):
    """Map language choice to the corresponding model."""
    model_mapping = {
        "English": "microsoft/Phi-3-mini-4k-instruct",
        "Arabic": "ALLaM-AI/ALLaM-7B-Instruct-preview"
    }
    return model_mapping.get(language, "ALLaM-AI/ALLaM-7B-Instruct-preview")  # Default to Arabic model

def load_model(model_name):
    device = "cuda" if torch.cuda.is_available() else "cpu"
    model = AutoModelForCausalLM.from_pretrained(
        model_name,
        device_map=device,
        torch_dtype="auto",
        trust_remote_code=True,
    )
    tokenizer = AutoTokenizer.from_pretrained(model_name)
    generator = pipeline(
        "text-generation",
        model=model,
        tokenizer=tokenizer,
        return_full_text=False,
        max_new_tokens=500,
        do_sample=False
    )
    return generator

@spaces.GPU
def generate_plant_info(plant_name, language):
    model_name = get_model_name(language)
    generator = load_model(model_name)

    # Define prompt for the AI model
    if language == "English":
        prompt = (f"Provide detailed information about {plant_name}. "
                  f"Include its scientific name, growing conditions (light, water, soil type), "
                  f"common uses, and care tips.")
    else:
        prompt = (f"قدم معلومات مفصلة عن {plant_name}. "
                  f"اذكر اسمه العلمي، وظروف نموه (الضوء، الماء، نوع التربة)، "
                  f"استخداماته الشائعة، ونصائح العناية به.")

    messages = [{"role": "user", "content": prompt}]
    output = generator(messages)
    return output[0]["generated_text"]

# Create Gradio interface with enhancements
custom_css = """
body {
    font-family: Arial, sans-serif;
    background-color: #f9f9f9;
}
.gri-container {
    border-radius: 10px;
    background-color: #fff;
    box-shadow: 0 4px 20px rgba(0,0,0,0.1);
}
.gri-button {
    background-color: #4CAF50;
    color: white;
}
.gri-button:hover {
    background-color: #45a049;
}
"""

demo = gr.Interface(
    fn=generate_plant_info,
    inputs=[
        gr.Textbox(placeholder="Enter plant name (e.g., Lavender, Aloe Vera)...", label="Plant Name"),
        gr.Dropdown(
            choices=["English", "Arabic"],
            label="Choose Language",
            value="English"
        )
    ],
    outputs=gr.Textbox(label="Plant Information"),
    title="🌿 AI Plant Guide - English & Arabic 🌿",
    description="Enter a plant name, and AI will provide detailed information about it in English or Arabic.",
    examples=[
        ["Lavender", "English"],
        ["اللافندر", "Arabic"],
        ["Tulip", "English"],
        ["الصبار", "Arabic"]
    ],
    theme="default",
    css=custom_css,  # Add custom CSS here
)

demo.launch(share=True)  # Launch the interface without css parameter