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 "positive1" if I'm feeling positive and "negative1" if I'm feeling sad
<|eot_id|>
<|start_header_id|>user<|end_header_id|>
{text}
<|eot_id|>
<|start_header_id|>assistant<|end_header_id|>
'''
    })

    if isinstance(output, list) and len(output) > 0:
        response = output[0].get('generated_text', '').strip().lower()
        if 'positive1' in response:
            return 'positive'
        if 'negative1' in response:
            return 'negative'
        else:
            return "Erreur: Réponse inattendue"
    else:
        return "Erreur: Réponse inattendue de l'API"

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

demo.launch()