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):
    output = query({     
    "inputs":   f'''<|begin_of_text|>
    <|start_header_id|>system<|end_header_id|>
you are a feeling analyser and you'll say only "positive" if i'm feeling positive and "negativ" if i'm feeling sad or bad   <|eot_id|>
    <|start_header_id|>user<|end_header_id|>
    {text}
    <|eot_id|>
    <|start_header_id|>assistant<|end_header_id|>

    "parameters": {
        "max_new_tokens": 1,
        "return_full_text": False
        }
    '''
})

    # 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()