Delete CommentImage.py

CommentImage.py

@@ -1,35 +0,0 @@
-import gradio as gr
-from transformers import pipeline
-from PIL import Image
-import numpy as np
-from datasets import load_dataset
-import soundfile as sf
-import torch
-
-image_to_text = pipeline("image-to-text", model="Salesforce/blip-image-captioning-large")
-synthesiser = pipeline("text-to-speech", "microsoft/speecht5_tts")
-
-embeddings_dataset = load_dataset("Matthijs/cmu-arctic-xvectors", split="validation")
-speaker_embedding = torch.tensor(embeddings_dataset[7306]["xvector"]).unsqueeze(0)
-
-def predict_step(image):
-    if isinstance(image, np.ndarray):
-        image = Image.fromarray(image)
-    
-  
-    result = image_to_text(image)
-    
-    texto = result[0]['generated_text'] 
-    speech = synthesiser(texto, forward_params={"speaker_embeddings": speaker_embedding})
-    sf.write("speech.wav", speech["audio"], samplerate=speech["sampling_rate"])
-    return "speech.wav", texto
-
-demo = gr.Interface(
-    fn=predict_step, 
-    inputs="image", 
-    outputs=["audio","textbox"],
-    title="Descripción de Imágenes",
-    description="Cargue una imagen y obtenga una descripción generada por IA."
-)
-
-demo.launch()