Spaces:
Runtime error
Runtime error
import gradio as gr | |
import os | |
import requests | |
import random | |
# Variables de entorno necesarias | |
API_URL = os.getenv("API_URL") | |
OPENAI_API_KEYS = os.getenv("OPENAI_API_KEYS", "").split(',') | |
NUM_THREADS = int(os.getenv("NUM_THREADS", "1")) | |
# Verifica que las variables de entorno necesarias est茅n definidas | |
if not API_URL or not OPENAI_API_KEYS: | |
raise ValueError("API_URL y OPENAI_API_KEYS deben estar definidas en el entorno.") | |
# Funci贸n para manejar errores | |
def exception_handler(exception_type, exception, traceback): | |
print(f"{exception_type.__name__}: {exception}") | |
sys.excepthook = exception_handler | |
sys.tracebacklimit = 0 | |
# Funci贸n que procesa bloques de c贸digo en Markdown para ser renderizado en HTML | |
def parse_codeblock(text): | |
lines = text.split("\n") | |
for i, line in enumerate(lines): | |
if "```" in line: | |
if line != "```": | |
lines[i] = f'<pre><code class="{lines[i][3:]}">' | |
else: | |
lines[i] = '</code></pre>' | |
else: | |
if i > 0: | |
lines[i] = "<br/>" + line.replace("<", "<").replace(">", ">") | |
return "\n".join(lines) | |
# Funci贸n principal que interact煤a con el modelo o API externa | |
def query_api(input_text): | |
headers = {"Authorization": f"Bearer {random.choice(OPENAI_API_KEYS)}"} | |
payload = {"input": input_text} | |
try: | |
response = requests.post(API_URL, json=payload, headers=headers) | |
if response.status_code == 200: | |
return response.json().get("output", "No response from API.") | |
else: | |
return f"Error: {response.status_code} - {response.text}" | |
except Exception as e: | |
return f"Excepci贸n en la consulta: {str(e)}" | |
# Interfaz de Gradio | |
def app_function(input_text): | |
# Llamada a la funci贸n que consulta la API | |
result = query_api(input_text) | |
return result | |
# Definir la interfaz de Gradio | |
interface = gr.Interface(fn=app_function, inputs="text", outputs="text", | |
title="Consulta a la API", | |
description="Introduce un texto para consultar la API.") | |
# Ejecutar la interfaz en Hugging Face | |
if __name__ == "__main__": | |
interface.launch() | |