app.py

import os 
import requests
import gradio as gr 

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

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

def query(payload):
    response = requests.post(API_URL, headers=headers, json=payload)
    return response.json()

def analyze_sentiment(text):
    def query(payload):
        response = requests.post(API_URL, headers=headers, json=payload)
        return response.json()
	
    output = query({
        "inputs": {
            "system": "you only answer in bulgarian",
            "user": "hello",
        }
    })

    print(output)

    # Assurez-vous de gérer correctement la sortie de l'API
    if isinstance(output, list) and len(output) > 0:
        return output[0].get('generated_text', 'Erreur: Réponse inattendue')
    else:
        return "Erreur: Réponse inattendue de l'API"

demo = gr.Interface(
    fn = analyze_sentiment,
    inputs=["text"],
    outputs=["text"],
)

demo.launch()