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| 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}"} | |
| #Complete below sentence in fun way. | |
| prompt4 = """Distracted from: hubble | |
| by: james webb | |
| Distracted from: homework | |
| by: side project | |
| Distracted from: goals | |
| by: new goals | |
| Distracted from: | |
| """ | |
| prompt5 = """Distracted from: homework | |
| by: side project | |
| Distracted from: goals | |
| by: new goals | |
| Distracted from: working hard | |
| by: hardly working | |
| Distracted from: twitter | |
| by: open in browser | |
| Distracted from: | |
| """ | |
| """Distracted from: homework | |
| by: side project | |
| Distracted from: goals | |
| by: new goals | |
| Distracted from: working hard | |
| by: hardly working | |
| Distracted from: twitter | |
| by: open in browser | |
| Distracted from: code | |
| by: blog post | |
| Distracted from: code | |
| by: blog post | |
| Distracted from:""" | |
| #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:""" | |
| 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": 0.95, | |
| "top_p": top_p, #0.90, | |
| #"top_k":0, | |
| "max_new_tokens": 250, | |
| "temperature": temp, #1.1, | |
| #"num_return_sequences": 3, | |
| "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 #final_solution #display_output, new_prompt #generated_txt+prompt | |
| demo = gr.Blocks() | |
| with demo: | |
| gr.Markdown("<h1><center>Testing</center></h1>") | |
| gr.Markdown( | |
| """Work In Progress""" | |
| ) | |
| with gr.Row(): | |
| #example_prompt = gr.Radio( ["Q: A juggler can juggle 16 balls. Half of the balls are golf balls, and half of the golf balls are blue. How many blue golf balls are there?\nA: Let’s think step by step.\n"], label= "Choose a sample Prompt") | |
| #example_prompt = gr.Radio( [ | |
| #"Instruction: Given an input question, respond with syntactically correct PostgreSQL\nInput: How many users signed up in the past month?\nPostgreSQL query: ", | |
| #"Instruction: Given an input question, respond with syntactically correct PostgreSQL\nInput: Create a query that displays empfname, emplname, deptid, deptname, location from employee table. Results should be in the ascending order based on the empfname and location.\nPostgreSQL query: ", | |
| #"Instruction: Given an input question, respond with syntactically correct PostgreSQL. Only use tables called 'employees'.\nInput: What is the total salary paid to all the employees?\nPostgreSQL query: ", | |
| #"Instruction: Given an input question, respond with syntactically correct PostgreSQL. Only use tables called 'employees'.\nInput: List names of all the employees whose name end with 'r'.\nPostgreSQL query: ", | |
| #"Instruction: Given an input question, respond with syntactically correct PostgreSQL. Only use tables called 'employees'.\nInput: What are the number of employees in each department?\nPostgreSQL query: ", | |
| #"Instruction: Given an input question, respond with syntactically correct PostgreSQL. Only use table called 'employees'.\nInput: Select names of all theemployees who have third character in their name as 't'.\nPostgreSQL query: ", | |
| #"Instruction: Given an input question, respond with syntactically correct PostgreSQL. Only use table called 'employees'.\nInput: Select names of all the employees who are working under 'Peter'\nPostgreSQL query: ", ], label= "Choose a sample Prompt") | |
| #"Dalle Prompt: Cyberwave vaporpunk art of a kneeling figure, looking up at a glowing neon book icon, smoke and mist, pink and blue lighting, cybernetic sci-fi render\nNew Dalle Prompt: " ], label= "Choose a sample Prompt") | |
| #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) | |
| #value = """Distracted from: homework\nby: side project\nDistracted from: goals\nby: new goals\nDistracted from: working hard\nby: hardly | |
| #with gr.Row(): | |
| #generated_txt = gr.Textbox(lines=7, visible = True) | |
| #with gr.Row(): | |
| output_image = gr.Image() #type="filepath", shape=(256,256)) | |
| 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') | |
| #output_prompt = gr.Textbox(label="Text generated", lines=5) | |
| b1 = gr.Button("Generate") | |
| #b2 = gr.Button("Generate Image") | |
| b1.click(meme_generate, inputs=[in_image, input_prompt, in_slider_temp, in_slider_top_p] , outputs=[output_image,input_prompt]) #output_prompt | |
| #b2.click(poem_to_image, poem_txt, output_image) | |
| #examples=examples | |
| demo.launch(enable_queue=True, debug=True) |