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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() | |
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("<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=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) |