updated desc

app.py

@@ -79,9 +79,9 @@ def meme_generate(img, prompt, temp, top_p): #prompt, generated_txt): #, input_p
 demo = gr.Blocks()
 
 with demo:
-  gr.Markdown("<h1><center>Distracted Boyfriend Meme😄- Brought to you by Bloom 🌸 </center></h1>")
+  gr.Markdown("<h1><center>Distracted Boyfriend Meme😄- Using Bloom 🌸 </center></h1>")
   gr.Markdown(
-        """Bloom is a model made by research teams from [HuggingFace](https://huggingface.co/bigscience/bloom) and world over (more than 1000 researchers coming together and working as [BigScienceW Bloom](https://twitter.com/BigscienceW)).\n\nLarge language models can produce coherent sentences but can they produce **Humor** too? Yes, they can, given the correct prompt (Yes, Prompt Engineering 🤖 has definitely become a thing).\n\n**How to Use this App**: Just Fire Away the Generate Meme button below!!\n\n**How this App works**: Figuring out the right set of Prompting + Writing on an Image + Bit of engineering. Currently, Bloom's Public API has size-limits on Token-Generation, so you can get only few tokens generated at a time.\n\n<pre>                              Bloom generating very few tokens                    When Few words are Enough</pre>\n\n<pre><span style='font-size:30px'>                               🤝Memes</span></pre>\n\n\nIt is a fun little App which you can play with for a while.\n\nThis Space is created by [Yuvraj Sharma](https://twitter.com/yvrjsharma)"""
+        """Bloom is a model made by research teams from [HuggingFace](https://huggingface.co/bigscience/bloom) and world over (more than 1000 researchers coming together and working as [BigScienceW Bloom](https://twitter.com/BigscienceW)).Large language models can produce coherent sentences but can they produce **Humor** too? Yes, they can, given the correct prompt (And Yes, Prompt Engineering 🤖 should definitely become a thing by now).\n\n**How to Use this App**: Just Fire Away the Generate Meme button below, as many times as you want!! If you see repeated or similar memes getting generated in consecutive runs, toggle temperature and top_p values.\n\n**How this App works**: Figuring out the right set of Prompting + Writing on an Image + Bit of engineering. Currently, Bloom's Public API has size-limits on Token-Generation, so you can get only few tokens generated at a time.\n\n<pre>                              Bloom generating very few tokens                    When Few words are Enough</pre>\n\n<pre><span style='font-size:30px'>                                🤝Memes</span></pre>\n\n\nIt is a fun little App which you can play with for a while.\n\nThis Space is created by [Yuvraj Sharma](https://twitter.com/yvrjsharma)"""
         )
 #        <span style="color:green;font-weight:700;font-size:20px">markdown color font styles</span>
   with gr.Row():
@@ -97,7 +97,7 @@ with demo:
     in_slider_top_p = gr.Slider(minimum=0.50, maximum=0.99, value=0.90, step=0.01, label='Top_p')
   
     
-  b1 = gr.Button("Generate")
+  b1 = gr.Button("Generate Memes")
 
   b1.click(meme_generate, inputs=[in_image, input_prompt, in_slider_temp, in_slider_top_p] , outputs=[output_image,input_prompt])