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() print(f"girlfriend is : {girlfriend }") new_girl = prompt_list[9].split(':')[1].strip() 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("

Testing

") 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=2.0, 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)