Update app.py

app.py

@@ -1,16 +1,14 @@
 import gradio as gr
+import wget
 from transformers import pipeline
 from diffusers import StableDiffusionPipeline
 import torch
-import wget
 
 # Define the device to use (either "cuda" for GPU or "cpu" for CPU)
 device = "cuda" if torch.cuda.is_available() else "cpu"
 
 # Load the models
-# Image captioning model to generate captions from uploaded images
 caption_image = pipeline("image-to-text", model="Salesforce/blip-image-captioning-large", device=device)
-# Stable Diffusion model for generating new images based on captions
 sd_pipeline = StableDiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5").to(device)
 
 # Load the translation model (English to Arabic)
@@ -21,9 +19,16 @@ translator = pipeline(
     device=device
 )
 
-# Download the image
+# Download the images
 url1 = "https://github.com/Shahad-b/Image-database/blob/main/sea.jpg?raw=true"
 sea = wget.download(url1)
+
+url2 = "https://github.com/Shahad-b/Image-database/blob/main/Cat.jpeg?raw=true"
+Cat = wget.download(url2)
+
+url3 = "https://github.com/Shahad-b/Image-database/blob/main/Car.jpeg?raw=true"
+Car = wget.download(url3)
+
 # Function to generate images based on the image's caption
 def generate_image_and_translate(image, num_images=1):
     # Generate caption in English from the uploaded image
@@ -44,28 +49,24 @@ def generate_image_and_translate(image, num_images=1):
 
 # Set up the Gradio interface
 interface = gr.Interface(
-    fn=generate_image_and_translate,   # Function to call when processing input
+    fn=generate_image_and_translate,
     inputs=[
-        gr.Image(type="pil", label="Upload Image"), # Input for image upload
-        gr.Slider(minimum=1, maximum=10, label="Number of Images", value=1, step=1) # Slider to select number of images
+        gr.Image(type="pil", label="Upload Image"),
+        gr.Slider(minimum=1, maximum=10, label="Number of Images", value=1, step=1)
     ],
     outputs=[
-        gr.Gallery(label="Generated Images"),  # Output for displaying generated images
-        gr.Textbox(label="Generated Caption (English)", interactive=False),  # Output for English caption
-        gr.Textbox(label="Translated Caption (Arabic)", interactive=False)# Output for Arabic caption
-
+        gr.Gallery(label="Generated Images"),
+        gr.Textbox(label="Generated Caption (English)", interactive=False),
+        gr.Textbox(label="Translated Caption (Arabic)", interactive=False)
     ],
-    title="Image Generation and Translation",  # Title of the interface
-    description="Upload an image to generate new images based on its caption and translate the caption into Arabic.",  # Description
-    examples=[ # Example input
-        ["sea.jpg", 3]
-        # ["Cat.jpeg", 4],
-        # ["Car.jpeg", 2]
+    title="Image Generation and Translation",
+    description="Upload an image to generate new images based on its caption and translate the caption into Arabic.",
+    examples=[
+        ["sea.jpg", 3],
+        ["Cat.jpeg", 4],
+        ["Car.jpeg", 2]
     ]
 )
 
 # Launch the Gradio application
 interface.launch()
-
-if __name__ == "__main__":
-    app.run(host="0.0.0.0" , port=7860)