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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}"} | |
| prompt1 = """ | |
| word: risk | |
| poem using word: And then the day came, | |
| when the risk | |
| to remain tight | |
| in a bud | |
| was more painful | |
| than the risk | |
| it took | |
| to blossom. | |
| word: """ | |
| prompt2 = """ | |
| Q: Joy has 5 balls. He buys 2 more cans of balls. Each can has 3 balls. How many balls he has now? | |
| A: Joy had 5 balls. 2 cans of 3 balls each is 6 balls. 5 + 6 = 11. Answer is 11. | |
| Q: Jane has 16 balls. Half balls are golf balls, and half golf balls are red. How many red golf balls are there? | |
| A: """ | |
| prompt3 = """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? | |
| A: Let’s think step by step. | |
| """ | |
| #Complete below sentence in fun way. | |
| prompt = """Distracted from hubble by james webb. | |
| Distracted from homework by side project. | |
| Distracted from goals by new goals. | |
| Distracted 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) | |
| 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 | |
| def meme_generate(img): #prompt, generated_txt): #, input_prompt_sql ): #, input_prompt_dalle2): | |
| print(f"*****Inside meme_generate - Prompt is :{prompt}") | |
| #if input_prompt_sql != '': | |
| # prompt = input_prompt_sql #"Instruction: Given an input question, respond with syntactically correct PostgreSQL\nInput: " +input_prompt_sql + "\nPostgreSQL query: " | |
| #elif input_prompt_dalle2 !='': | |
| # prompt = "Dalle Prompt: " + input_prompt_dalle2 + "\nNew Dalle Prompt: " | |
| json_ = {"inputs": prompt, | |
| "parameters": | |
| { | |
| #"top_p": 0.95, | |
| #"top_p": 0.90, | |
| "top_k":50, | |
| "max_new_tokens": 250, | |
| #"temperature": 0.5, | |
| "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}") | |
| if '\nOutput:' in solution: | |
| final_solution = solution.split("\nOutput:")[0] | |
| print(f"Response after removing output is: {final_solution}") | |
| elif '\n\n' in solution: | |
| final_solution = solution.split("\n\n")[0] | |
| print(f"Response after removing new line entries is: {final_solution}") | |
| else: | |
| final_solution = solution | |
| #if len(generated_txt) == 0 : | |
| # display_output = final_solution | |
| #else: | |
| # display_output = generated_txt[:-len(prompt)] + final_solution | |
| #new_prompt = final_solution[len(prompt):] | |
| #print(f"new prompt for next cycle is : {new_prompt}") | |
| #print(f"display_output for printing on screen is : {display_output}") | |
| #if len(new_prompt) == 0: | |
| # temp_text = display_output[::-1] | |
| # print(f"What is the last character of sentence? : {temp_text[0]}") | |
| # if temp_text[1] == '.': | |
| # first_period_loc = temp_text[2:].find('.') + 1 | |
| # print(f"Location of last Period is: {first_period_loc}") | |
| # new_prompt = display_output[-first_period_loc:-1] | |
| # print(f"Not sending blank as prompt so new prompt for next cycle is : {new_prompt}") | |
| # else: | |
| # print("HERE") | |
| # first_period_loc = temp_text.find('.') | |
| # print(f"Location of last Period is : {first_period_loc}") | |
| # new_prompt = display_output[-first_period_loc:-1] | |
| # print(f"Not sending blank as prompt so new prompt for next cycle is : {new_prompt}") | |
| # display_output = display_output[:-1] | |
| meme_image = write_on_image(final_solution) | |
| return meme_image #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") | |
| #input_prompt = gr.Textbox(label="Write some text to get started...", lines=3) #input_prompt_sql | |
| #input_prompt_dalle2 = gr.Textbox(label="Or Write sample Dalle2 prompts to get more Prompt ideas...") | |
| #input_prompt2 = gr.Textbox(label="Write some text to get started...", lines=3, visible=False) #input_prompt_sql | |
| #input_word = gr.Textbox(placeholder="Enter a word here to generate text ...") | |
| #with gr.Row(): | |
| #generated_txt = gr.Textbox(lines=7, visible = True) | |
| output_image = gr.Image() #type="filepath", shape=(256,256)) | |
| b1 = gr.Button("Generate") | |
| #b2 = gr.Button("Generate Image") | |
| b1.click(meme_generate, inputs=in_image, outputs=output_image) #input_word #input_prompt_dalle2 #input_prompt_sql #example_prompt | |
| #b2.click(poem_to_image, poem_txt, output_image) | |
| #examples=examples | |
| demo.launch(enable_queue=True, debug=True) |