Update app.py

app.py

@@ -1,8 +1,16 @@
 from transformers import pipeline
+from huggingface_hub import login
 
-# Load a pre-trained model
-generator = pipeline('image-generation', model='huggingface/gan-model')
+# Login to Hugging Face with your API key
+api_key = 'your-huggingface-api-key'
+login(token=api_key)
 
-# Generate an image
+# Initialize the pipeline with a correct model identifier
+# Here I'm using a popular image generation model like 'stable-diffusion'
+generator = pipeline('image-generation', model='CompVis/stable-diffusion-v1-4-original', use_auth_token=api_key)
+
+# Generate an image from a text prompt
 generated_image = generator("A futuristic city")
-generated_image[0]['image'].show()  # Show the generated image
+
+# Show the generated image
+generated_image[0]['image'].show()