import gradio as gr
import requests
import spaces 
import os 


api_token = os.environ.get("TOKEN")


API_URL = "https://api-inference.huggingface.co/models/distilbert-base-uncased-finetuned-sst-2-english"
headers = {"Authorization": f"Bearer {api_token}"}


@spaces.GPU
def analyze_sentiment(text):
    payload = {"inputs": text}
    response = requests.post(API_URL, headers=headers, json=payload)
    result = response.json()
    
    if isinstance(result, list) and len(result) > 0 and isinstance(result[0], list):
        sentiment_scores = result[0]
        sentiment = "heureux" if sentiment_scores[1] > sentiment_scores[0] else "malheureux"
        return sentiment
    else:
        return "Erreur: Format de réponse inattendu"

def gradio_interface(input_text):
    return analyze_sentiment(input_text)

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()