fix

LICENSE

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2021 OpenAI
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

@@ -1,8 +1,7 @@
 ---
-title: Glide Text2im
-emoji: 📊
-colorFrom: purple
-colorTo: gray
+title: glide-test
+colorFrom: green
+colorTo: green
 sdk: gradio
 app_file: app.py
 pinned: false

app.py

@@ -17,6 +17,11 @@ from glide_text2im.model_creation import (
     model_and_diffusion_defaults_upsampler
 )
 
+"""
+credit: follows the gradio glide example by valhalla https://huggingface.co/spaces/valhalla/glide-text2im
+"""
+
+
 # print("Loading models...")
 # app = FastAPI()
 
@@ -180,17 +185,12 @@ 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."
-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"]
+title = "glide test"
+description = "text conditioned image generation demo using openai's GLIDE model (text-guided diffusion model) https://arxiv.org/abs/2112.10741 & https://github.com/openai/glide-text2im/. should take ~500s to run. credit to valhalla for gradio template https://huggingface.co/spaces/valhalla/."
 
 iface = gr.Interface(fn=sample, 
-                     inputs=gr.inputs.Textbox(label='What would you like to see?'), 
-                     outputs=gr.outputs.Image(type="pil", label="Model input + completions"),
+                     inputs=gr.inputs.Textbox(label='enter text'), 
+                     outputs=gr.outputs.Image(type="pil", label="..."),
                      title=title,
-                     description=description,
-                     article=article,
-                     examples=examples,
-                     enable_queue=True)
-iface.launch(debug=True)
+                     description=description)
+iface.launch(debug=True,enable_queue=True)

server.py

@@ -172,4 +172,4 @@ def sample(prompt):
 def to_base64(pil_image):
     buffered = BytesIO()
     pil_image.save(buffered, format="JPEG")
-    return base64.b64encode(buffered.getvalue())
+    return base64.b64encode(buffered.getvalue())

setup.py

@@ -1,5 +1,4 @@
 from setuptools import setup
-
 setup(
     name="glide-text2im",
     packages=["glide_text2im"],