import os import openai import subprocess from gtts import gTTS from pydub import AudioSegment from flask import Flask, render_template, request openai.api_key = os.environ.get("openai_api_key") app = Flask(__name__) @app.route("/", methods=["GET", "POST"]) def index(): if request.method == "POST": name = request.form["name"] horoscope_type = request.form["horoscope_type"] video_path, error_message = generate_output(name, horoscope_type) if error_message: return render_template("index.html", error_message=error_message) else: return render_template("index.html", video_path=video_path) return render_template("index.html") def generate_output(name, horoscope_type): prompt = f"{name}, tu horóscopo {horoscope_type} y oráculo de hoy es:" response = openai.Completion.create( engine="text-davinci-003", prompt=prompt, max_tokens=120, 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." 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) 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): return output_video_path, None return None, "No se pudo generar el video" if __name__ == "__main__": app.run()