PierreBrunelle commited on
Commit
a3921b9
1 Parent(s): a77c3ea

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +4 -10
app.py CHANGED
@@ -105,6 +105,9 @@ def gradio_interface():
105
  gr.Markdown("""
106
  <img src="https://raw.githubusercontent.com/pixeltable/pixeltable/main/docs/source/data/pixeltable-logo-large.png" alt="Pixeltable" width="20%" /></img>
107
  <h1>Video to Social Media Post Generator</h1>
 
 
 
108
  """
109
  )
110
  with gr.Row():
@@ -165,17 +168,8 @@ def gradio_interface():
165
  outputs=[output, thumbnail, df_output, audio],
166
  )
167
 
168
- gr.HTML(
169
- """
170
- <p>Pixeltable is a declarative interface for working with text, images, embeddings, and even video, enabling you to store, transform, index, and iterate on data. Powered solely by <a href="https://github.com/pixeltable/pixeltable" style="text-decoration: underline;" target="_blank">Pixeltable</a> - running OpenAI (gpt-4o-mini-2024-07-18).</a></p>
171
- <p><a href="https://colab.research.google.com/github/pixeltable/pixeltable/blob/release/docs/release/tutorials/pixeltable-basics.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Colab"></a></p>
172
- """
173
- )
174
  return demo
175
 
176
  # Launch the Gradio interface
177
  if __name__ == "__main__":
178
- gradio_interface().launch(show_api=False)
179
-
180
- """
181
- Pixeltable simplifies complex video processing workflows and integrates AI capabilities to create a powerful tool for generating social media content from video inputs."""
 
105
  gr.Markdown("""
106
  <img src="https://raw.githubusercontent.com/pixeltable/pixeltable/main/docs/source/data/pixeltable-logo-large.png" alt="Pixeltable" width="20%" /></img>
107
  <h1>Video to Social Media Post Generator</h1>
108
+ Pixeltable is a declarative interface for working with text, images, embeddings, and even video, enabling you to store, transform, index, and iterate on data. Powered solely by Pixeltable, running OpenAI (gpt-4o-mini-2024-07-18).
109
+ """
110
+ )
111
  """
112
  )
113
  with gr.Row():
 
168
  outputs=[output, thumbnail, df_output, audio],
169
  )
170
 
 
 
 
 
 
 
171
  return demo
172
 
173
  # Launch the Gradio interface
174
  if __name__ == "__main__":
175
+ gradio_interface().launch(show_api=False)