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import json | |
import requests | |
import gradio as gr | |
import random | |
API_TOKEN='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' | |
headers = {"Authorization": f"Bearer {API_TOKEN}"} | |
API_URL = "https://api-inference.huggingface.co/models/bigscience/bloom" | |
prompt="""What would this look like in 2050? Give 5 optimally describing bigrams. | |
Input:cake shop | |
Output:Sustainable ingredients,Virtual reality experience,Customizable flavor options,3D printed designs,Robotic assistants | |
##### | |
Input:consulting firm | |
Output:Virtual meetings,AI integration,Sustainability focus,Virtual reality simulations,Blockchain technology | |
##### | |
Input:biscuit brand | |
Output:Sustainable packaging,Plant-based ingredients,Digital marketing,Virtual reality,Smart packaging | |
##### | |
""" | |
def query(text): | |
#global prompt | |
print(text) | |
text = prompt+"\nInput:"+text + "\nOutput:" | |
#print(text) | |
payload = { | |
"inputs": text, | |
"parameters": { | |
"max_length": 250, | |
"temperature": 0.9, | |
"seed":random.randint(0, 100), | |
}, | |
} | |
data = json.dumps(payload) | |
response = requests.request("POST", API_URL, headers=headers, data=data) | |
#print('Response here\n',response.content) | |
generated_text=json.loads(response.content.decode("utf-8"))[0]['generated_text'] | |
result = generated_text.replace(text,'').strip() | |
result = result.replace("Output:","") | |
parts = result.split("###") | |
topic = parts[0].strip() | |
topic=topic.split("Input:")[0] | |
print(topic) | |
return topic | |
with gr.Blocks() as demo: | |
gr.Markdown("<h1><center>Ideas of the Future</center></h1>") | |
gr.Markdown( | |
"""ChatGPT based Insights from Decodem.ai for businesses.\nWhile ChatGPT has multiple use cases we have evolved specific use cases/ templates for businesses \n\n This template provides ideas on how a business would look like in the future. Enter a business area and get the results.""" | |
) | |
textbox = gr.Textbox(placeholder="Enter business type here...", lines=1,label='Yourbusiness area') | |
btn = gr.Button("Generate") | |
output1 = gr.Textbox(lines=2,label='The future') | |
btn.click(query,inputs=[textbox], outputs=[output1]) | |
examples = gr.Examples(examples=['icecream parlor','space travel','book shop','ecommerce','grocery delivery'], | |
inputs=[textbox]) | |
demo.launch() |