llama-3-8b-chat-tourismneweeest

Moroccan Tourism Chatbot

This is a fine-tuned version of Llama-3.1 designed to assist tourists in Morocco by providing recommendations for hotels, beaches, restaurants, and activities based on user queries.

Usage

!pip install gradio
import gradio as gr
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("aboutaleb/llama-3-8b-chat-tourismneweeest")
tokenizer = AutoTokenizer.from_pretrained("aboutaleb/llama-3-8b-chat-tourismneweeest")

def get_recommendations(user_query):
    """
    Function to generate tourism recommendations based on user input.
    """
    # Preprocessing: remove unwanted characters (e.g., </)
    cleaned_query = user_query.replace('</', '').replace('>', '')

    # Format input text with instructions
    input_text = f"""Below is a user query about tourism in Morocco. Provide concise and accurate recommendations:

### User Query:
{cleaned_query}
### Recommendations:
"""
    # Tokenization and generation
    inputs = tokenizer([input_text], return_tensors="pt", truncation=True).to("cuda")
    outputs = model.generate(**inputs, max_new_tokens=100)

    # Decode the response and clean unnecessary tags
    recommendations = tokenizer.decode(outputs[0], skip_special_tokens=True)

    # Clean additional tokens (</s> or others)
    recommendations = recommendations.replace('</s>', '').strip()

    # Return only the recommendations section
    if "### Recommendations:" in recommendations:
        recommendations = recommendations.split("### Recommendations:")[1].strip()

    return recommendations

# Gradio Interface
with gr.Blocks() as demo:
    gr.Markdown("## Moroccan Tourism Assistant")
    gr.Markdown(
        "Enter your query about tourism in Morocco below. "
        "You will receive recommendations for hotels, beaches, restaurants, or activities."
    )

    with gr.Row():
        input_box = gr.Textbox(
            label="User Query",
            placeholder="Enter your question about tourism in Morocco here...",
            lines=5
        )
        output_box = gr.Textbox(
            label="Generated Recommendations",
            placeholder="Recommendations will appear here...",
            lines=5
        )

    generate_button = gr.Button("Get Recommendations")
    generate_button.click(get_recommendations, inputs=input_box, outputs=output_box)

# Launch the application
demo.launch()