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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()