app.py

import os
import openai
import gradio as gr
import subprocess
from gtts import gTTS
from pydub import AudioSegment

openai.api_key = os.environ.get ("openai_api_key")

def generate_output(name, date_of_birth, progress=gr.Progress()):
    prompt = f"{name}, tu horoscpo y oráculo astrológico de hoy es:"
    response = openai.Completion.create(
        engine="text-davinci-003",
        prompt=prompt,
        max_tokens=180,
        temperature=0.6,
        n=1,
        stop=None,
    )
    gpt3_output = response.choices[0].text.strip()
    generated_text = gpt3_output.replace(prompt, "").strip()
    if len(response.choices) == 0 or 'text' not in response.choices[0]:
        return None, "No se pudo generar el texto."

    def _progress(generated, to_generate):
        progress((generated, to_generate))
    _progress(0, 1)

    try:
        tts = gTTS(generated_text, lang='es')
        temp_audio_path = "temp_audio.mp3"
        tts.save(temp_audio_path)
        audio_path = "audio.wav"
        audio = AudioSegment.from_mp3(temp_audio_path)
        audio.export(audio_path, format="wav")
        print("Archivo de audio generado:", audio_path)
        _progress(1, 2)
    except Exception as e:
        return None, f"No se pudo generar el audio: {str(e)}"

    command = f"python3 inference.py --checkpoint_path checkpoints/wav2lip_gan.pth --face oraculo.jpg --audio audio.wav --outfile video.mp4 --nosmooth"
    process = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
    if process.returncode != 0:
        error_message = process.stderr.decode("utf-8")
        return None, f"No se pudo generar el video: {error_message}"

    output_video_path = "video.mp4"
    os.remove(temp_audio_path)

    if os.path.isfile(output_video_path):
        _progress(2, 2)
        return output_video_path, None
    return None, "No se pudo generar el video"

iface = gr.Interface(
    fn=generate_output,
    inputs=[
        gr.inputs.Textbox(lines=1, label="Nombre", placeholder="Ingresa tu nombre"),
        gr.inputs.Textbox(lines=1, label="Fecha de Nacimiento", placeholder="DD/MM/AAAA")
    ],
    outputs=[
        gr.outputs.Video(label="Respuesta de Andrea (un minuto aproximadamente)").style(width=256),
        #gr.outputs.Textbox(label="Mensaje de error", type="text")
    ],
    title="Oráculo de Inteligencia Artificial v2.1",
    description="Por favor, ingresa tu nombre y fecha de nacimiento.",
    layout="vertical", template="default"
    
)

iface.launch()