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

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

def generate_output(name, birth_date):
    if not birth_date:
        return None, "El campo de fecha de nacimiento es obligatorio."

    prompt = f"Tú horóscopo de hoy, si naciste el {birth_date}, 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()
    personalized_response = f"Tu horóscopo {name} nacido el {birth_date} es: {gpt3_output}"
    
    if len(response.choices) == 0 or 'text' not in response.choices[0]:
        return None, "No se pudo generar el texto."

    try:
        tts = gTTS(personalized_response, lang='es')
        audio_path = "audio.mp3"
        tts.save(audio_path)
    except Exception as e:
        return None, f"No se pudo generar el audio: {str(e)}"

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

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

name_input = gr.inputs.Textbox(lines=1, placeholder="Escribe tu Nombre Completo", label="Nombre")
birth_date_input = gr.inputs.Textbox(lines=1, placeholder="Fecha Nacimiento - DD/MM/AAAA", label="Cumpleaños")
output = gr.outputs.Video(label="Resultado", type="mp4").style(width=350)
error_output = gr.outputs.Textbox(label="Errores")

def generate_and_display_output(name, birth_date):
    video_path, error_message = generate_output(name, birth_date)
    if error_message:
        print(f"Error: {error_message}")
        return None, error_message
    else:
        return video_path, None

outputs = [output, error_output]

iface = gr.Interface(
    fn=generate_and_display_output,
    inputs=[name_input, birth_date_input],
    outputs=outputs,
    layout="vertical",
    theme="dark"
)

iface.launch()