create app.py

app.py

@@ -0,0 +1,103 @@
+import gradio as gr
+import requests 
+import os 
+import PIL
+from PIL import Image
+from PIL import ImageDraw
+from PIL import ImageFont
+
+##Bloom
+API_URL = "https://api-inference.huggingface.co/models/bigscience/bloom"
+HF_TOKEN = os.environ["HF_TOKEN"]
+headers = {"Authorization": f"Bearer {HF_TOKEN}"}
+
+
+def write_on_image(final_solution):
+  print("************ Inside write_on_image ***********")
+  image_path0 = "./distracted0.jpg"
+  image0 = Image.open(image_path0)
+  I1 = ImageDraw.Draw(image0)
+  myfont = ImageFont.truetype('./font1.ttf', 30)
+  
+  prompt_list = final_solution.split('\n')
+  girlfriend = prompt_list[8].split(':')[1].strip()
+  girlfriend_list = girlfriend.split()
+  if len(girlfriend_list) >= 2:
+    girlfriend = '\n'.join(girlfriend_list)
+  print(f"girlfriend  is : {girlfriend }")
+  new_girl = prompt_list[9].split(':')[1].strip()
+  new_girl_list = new_girl.split()
+  if len(new_girl_list) > 2:
+    new_girl = '\n'.join(new_girl_list)  
+  print(f"new_girl is : {new_girl}")
+  prompt_list.pop(0)
+  prompt_list.pop(0)
+  prompt_list = prompt_list[:8]
+  prompt_list.append('Distracted from:')
+  print(f"prompt list is : {prompt_list}")
+  new_prompt = '\n'.join(prompt_list)
+  print(f"final_solution is : {new_prompt}")
+  
+  I1.text((613, 89), girlfriend,font=myfont, fill =(255, 255, 255))
+  I1.text((371, 223), "ME", font=myfont, fill =(255, 255, 255))
+  I1.text((142, 336), new_girl,font=myfont, fill =(255, 255, 255))
+  
+  return image0, new_prompt
+
+def meme_generate(img, prompt, temp, top_p): #prompt, generated_txt): #, input_prompt_sql ): #, input_prompt_dalle2):
+
+  print(f"*****Inside meme_generate - Prompt is :{prompt}")
+  if len(prompt) == 0:
+    prompt = """Distracted from: homework\nby: side project\nDistracted from: goals\nby: new goals\nDistracted from: working hard\nby: hardly working\nDistracted from: twitter\nby: open in browser\nDistracted from:"""
+  
+  json_ = {"inputs": prompt,
+            "parameters":
+            {
+          "top_p": top_p, #0.90 default
+          "max_new_tokens": 250,
+          "temperature": temp, #1.1 default
+          "return_full_text": True,
+          "do_sample": True,
+          }, 
+          "options": 
+          {"use_cache": True,
+          "wait_for_model": True, 
+          },}
+  response = requests.post(API_URL, headers=headers, json=json_)
+  print(f"Response  is : {response}")
+  output = response.json()
+  print(f"output is : {output}") 
+  output_tmp = output[0]['generated_text']
+  print(f"output_tmp is: {output_tmp}")
+  solution = output_tmp.split("\nQ:")[0]   
+  print(f"Final response after splits is: {solution}")
+    
+  meme_image, new_prompt = write_on_image(solution)  
+  return meme_image, new_prompt 
+
+
+demo = gr.Blocks()
+
+with demo:
+  gr.Markdown("<h1><center>Distracted Boyfriend Meme😄- Brought to you by 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, yo can get only very few tokens generated in one go.\n\n<pre>Bloom generating very few tokens                    When Few words are Enough</pre>\n\n<pre>                                               🤝</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)"""
+        )
+  with gr.Row():
+
+    in_image = gr.Image(value="./distracted0.jpg", visible=False)
+    in_image_display = gr.Image(value="./distracted00.jpg", visible=True)
+    input_prompt = gr.Textbox(label="Write some prompt...", lines=5, visible=False)
+
+    output_image = gr.Image() 
+    
+  with gr.Row():
+    in_slider_temp = gr.Slider(minimum=0.0, maximum=1.4, value=1.1, step=0.1, label='Temperature')
+    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.click(meme_generate, inputs=[in_image, input_prompt, in_slider_temp, in_slider_top_p] , outputs=[output_image,input_prompt])    
+
+demo.launch(enable_queue=True, debug=True)