app.py

import gradio as gr
import requests
import spaces 

API_URL = "https://api-inference.huggingface.co/models/meta-llama/Meta-Llama-3-8B-Instruct"
headers = {"Authorization": "Bearer hf_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"}

@spaces.GPU

def analyze_sentiment(text):
    payload = {
        "inputs": f"Analyze the sentiment of the following text and respond with either 'heureux' or 'malheureux': {text}"
    }
    response = requests.post(API_URL, headers=headers, json=payload)
    result = response.json()
    
    sentiment = result[0]['generated_text'].strip().lower()
    return "heureux" if "heureux" in sentiment else "malheureux"

def gradio_interface(input_text):
    sentiment = analyze_sentiment(input_text)
    return sentiment

iface = gr.Interface(
    fn=gradio_interface,
    inputs=gr.Textbox(lines=3, placeholder="Entrez votre texte ici..."),
    outputs=gr.Label(num_top_classes=1),
    title="Analyseur de Sentiment",
    description="Entrez un texte pour déterminer si le sentiment est 'heureux' ou 'malheureux'."
)

iface.launch()