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import gradio as gr
import requests
import os
##Bloom Inference API
API_URL = "https://api-inference.huggingface.co/models/bigscience/bloom"
HF_TOKEN = os.environ["HF_TOKEN"]
headers = {"Authorization": f"Bearer {HF_TOKEN}"}
def text_generate(prompt, generated_txt):
#Prints to debug the code
print(f"*****Inside text_generate - Prompt is :{prompt}")
json_ = {"inputs": prompt,
"parameters":
{
"top_p": 0.8,
"temperature": 1.1,
"max_new_tokens": 128,
"return_full_text": True,
"do_sample":False,
},
"options":
{"use_cache": False,
"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]
return display_output, new_prompt
demo = gr.Blocks()
with demo:
gr.Markdown("<h1><center>Write Stories Using Bloom</center></h1>")
gr.Markdown(
"""This is my playground to test Marathi and Hindi Text Generation"""
)
with gr.Row():
input_prompt = gr.Textbox(label="Write some text to get started...", lines=3, value="मैं असीम अकेला सन्नाटा हूँ \nमैं अनित्य चेतना-सनातन रचना हूँ \nमैं अनासक्त समय हूँ ")
with gr.Row():
generated_txt = gr.Textbox(lines=25, visible = True)
b1 = gr.Button("Generate Your Story")
b1.click(text_generate, inputs=[input_prompt, generated_txt], outputs=[generated_txt, input_prompt])
demo.launch(enable_queue=True, debug=True) |