Update requirements.txt

requirements.txt

@@ -1,60 +1,6 @@
-import os
-import subprocess
-
-# Asegurar instalación de moviepy y ffmpeg
-subprocess.run(["pip", "install", "moviepy", "imageio[ffmpeg]", "imageio_ffmpeg"], check=True)
-
-import whisper
-import spacy
-import language_tool_python
-import gradio as gr
-from moviepy.editor import VideoFileClip
-from docx import Document
-
-def extract_audio(video_path, audio_path):
-    try:
-        video = VideoFileClip(video_path)
-        audio = video.audio
-        audio.write_audiofile(audio_path, codec='pcm_s16le', fps=16000)
-        return True
-    except Exception as e:
-        print(f"Error al extraer audio: {e}")
-        return False
-
-def transcribe_audio(audio_path):
-    model = whisper.load_model("base")
-    result = model.transcribe(audio_path, word_timestamps=True)
-    return result
-
-def correct_text(text):
-    tool = language_tool_python.LanguageTool('es')
-    matches = tool.check(text)
-    return language_tool_python.utils.correct(text, matches)
-
-def create_word_doc(segments, output_path):
-    doc = Document()
-    for segment in segments:
-        corrected_text = correct_text(segment['text'])
-        doc.add_paragraph(corrected_text)
-    doc.save(output_path)
-    return output_path
-
-def process_video(video_file):
-    audio_path = video_file.replace(".mp4", ".wav")
-    word_output = video_file.replace(".mp4", "_transcription.docx")
-    
-    if extract_audio(video_file, audio_path):
-        result = transcribe_audio(audio_path)
-        segments = result['segments']
-        doc_path = create_word_doc(segments, word_output)
-        return "Transcripción completada.", doc_path
-    else:
-        return "Error al procesar el archivo.", None
-
-demo = gr.Interface(
-    fn=process_video,
-    inputs=gr.File(label="Sube un archivo de video"),
-    outputs=["text", gr.File(label="Descargar transcripción")]
-)
-
-demo.launch()
+whisper
+spacy
+language-tool-python
+gradio
+ffmpeg-python
+python-docx