Subindo arquivos113

app.py

@@ -1,3 +1,4 @@
+import os
 import gradio as gr
 import torch
 from PIL import Image
@@ -5,6 +6,13 @@ from gtts import gTTS
 import numpy as np
 import cv2
 from transformers import BlipProcessor, BlipForConditionalGeneration, MarianMTModel, MarianTokenizer
+from huggingface_hub import login
+
+# Ler o token da variável de ambiente
+hf_token = os.getenv("HUGGINGFACE_TOKEN")
+
+if hf_token:
+    login(token=hf_token)
 
 # Carregar o modelo YOLOv5
 model = torch.hub.load('ultralytics/yolov5', 'yolov5s')
@@ -74,7 +82,7 @@ def process_image(image):
 # Carregar imagem de exemplo diretamente do código
 example_image_path = "example1.JPG"
 
-# Interface Gradioo
+# Interface Gradio
 iface = gr.Interface(
     fn=process_image,
     inputs=gr.Image(type="pil"),

requirements.txt

@@ -6,3 +6,5 @@ opencv-python
 transformers
 gtts
 sentencepiece
+huggingface_hub
+