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import os | |
import openai | |
import streamlit as st | |
import subprocess | |
from gtts import gTTS | |
import cv2 | |
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"T煤 hor贸scopo 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 hor贸scopo {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" | |
st.title("Generador de Hor贸scopos en Video") | |
name = st.text_input("Nombre", "Escribe tu nick (espera 60 segundos) | |
birth_date = st.text_input("Fecha de Nacimiento", "DD/MM/AAAA") | |
if st.button("Generar Video"): | |
video_path, error_message = generate_output(name, birth_date) | |
if error_message: | |
st.error(f"Error: {error_message}") | |
else: | |
video_file = open(video_path, "rb").read() | |
st.video(video_file) |