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from Linkedin_post import LinkedinAutomate | |
from llm_automation import llm_auto | |
from openai import OpenAI | |
import gradio as gr | |
greety = """ | |
As a derivate work of [Linkedin Automation System](https://medium.com/@gathnex) by Gathnex, | |
Follow us on [linkedin](https://www.linkedin.com/company/gathnex/) and [Github](https://github.com/gathnexadmin). a special thanks to [Gokul](https://www.linkedin.com/in/gokul-raja-1541b8226/) who make a significant contribution to this project. | |
""" | |
def stream(prompt, g, OPENAI_API_KEY, access_token): | |
llm = llm_auto(prompt, OPENAI_API_KEY) | |
if llm.intent_indentifier() == "#Post": | |
url = llm.prompt_link_capturer() | |
res = LinkedinAutomate(access_token, url, OPENAI_API_KEY).main_func() | |
return llm.posted_or_not(res) | |
else: | |
return llm.normal_gpt() | |
css = """ | |
h1 { | |
text-align: center; | |
} | |
#duplicate-button { | |
margin: auto; | |
color: white; | |
background: #1565c0; | |
border-radius: 100vh; | |
} | |
.contain { | |
max-width: 900px; | |
margin: auto; | |
padding-top: 1.5rem; | |
} | |
""" | |
chat_interface = gr.ChatInterface( | |
fn=stream, | |
additional_inputs_accordion_name = "Credentials", | |
additional_inputs=[ | |
gr.Textbox(label="OpenAI Key", lines=1), | |
gr.Textbox(label="Linkedin Access Token", lines=1), | |
], | |
stop_btn=None, | |
examples=[ | |
["explain Large language model"], | |
["what is quantum computing"] | |
], | |
) | |
with gr.Blocks(css=css) as demo: | |
gr.HTML("<h1><center>Gathnex Linkedin Automation using Generative AI<h1><center>") | |
gr.HTML("<h3><center><a href='https://medium.com/@gathnex'>Gathnex AI</a>💬<h3><center>") | |
gr.DuplicateButton(value="Duplicate Space for private use", elem_id="duplicate-button") | |
chat_interface.render() | |
gr.Markdown(greety) | |
if __name__ == "__main__": | |
demo.queue(max_size=10).launch() | |