app.py

import streamlit as st
import requests
import os

# Obtener el token de los secretos
API_URL = "https://api-inference.huggingface.co/models/meta-llama/Meta-Llama-Guard-2-8B"
headers = {"Authorization": f"Bearer {os.getenv('YOUR_HUGGING_FACE_TOKEN')}"}

def query(payload):
    response = requests.post(API_URL, headers=headers, json=payload)
    try:
        response.raise_for_status()
        return response.json()
    except requests.exceptions.HTTPError as err:
        st.error(f"HTTP error occurred: {err}")
    except Exception as err:
        st.error(f"Other error occurred: {err}")
    return None

st.title("LLaMA Chatbot")
st.subheader("Ask anything to the LLaMA model!")

user_input = st.text_input("You: ")
if user_input:
    output = query({"inputs": user_input})
    
    # Imprimir la respuesta completa para depuración
    st.write("API response:", output)
    
    if output:
        # Verificar las posibles claves en la respuesta
        if "generated_text" in output:
            response = output["generated_text"]
        elif isinstance(output, list) and "generated_text" in output[0]:
            response = output[0]["generated_text"]
        else:
            response = "Sorry, I couldn't generate a response."
    else:
        response = "Sorry, I couldn't generate a response."
    
    st.write(f"Chatbot: {response}")