Update app.py

app.py

@@ -84,7 +84,7 @@ print('total base parameters', sum(x.numel() for x in model.parameters()))
 
 
 #@title Create upsampler model.
-sr_glide_path = "glide-ft-12x5000.pt" #@param {type:"string"}
+sr_glide_path = "glide-ft-16x5000.pt" #@param {type:"string"}
 
 
 options_up = model_and_diffusion_defaults_upsampler()
@@ -143,7 +143,7 @@ def sample(prompt):
 
     # Tune this parameter to control the sharpness of 256x256 images.
     # A value of 1.0 is sharper, but sometimes results in grainy artifacts.
-    upsample_temp = 0.997
+    upsample_temp = 1.0
 
     ##############################
     # Sample from the base model #
@@ -239,10 +239,19 @@ def to_base64(pil_image):
     pil_image.save(buffered, format="JPEG")
     return base64.b64encode(buffered.getvalue())
 
-title = "Interactive demo: glide-text2im"
-description = "Demo for OpenAI's GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models."
+title = "Interactive demo: glide-text2im dermoscopic image generator"
+description = "Demo for the Finetuned version of OpenAI's GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models."
 article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2112.10741'>GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models</a> | <a href='https://github.com/openai/glide-text2im/'>Official Repo</a></p>"
-examples =["an oil painting of a corgi"]
+examples =["put in one of the following examples: 
+melanoma
+melanocytic nevi
+Actinic keratoses and intraepithelial carcinoma / Bowen's disease
+benign keratosis-like lesions (solar lentigines / seborrheic keratoses and lichen-planus like keratoses
+basal cell carcinoma
+dermatofibroma
+vascular lesions
+
+Please be aware that generation of the image will take up to 20 minutes, as CPU is used for the generation"]
 
 iface = gr.Interface(fn=sample, 
                      inputs=gr.inputs.Textbox(label='What would you like to see?'),