| import cohere | |
| co = cohere.Client('NTZ1vJAJ6xFNk8ibiQjVh8E5CQLafLpKxjWJc5jp') | |
| def write_post(topic): | |
| response = co.generate( | |
| model='command-xlarge-20221108', | |
| prompt=f' \"{topic}\":', | |
| max_tokens=300, | |
| temperature=0.9, | |
| k=0, | |
| p=0.75, | |
| frequency_penalty=0, | |
| presence_penalty=0, | |
| stop_sequences=[], | |
| return_likelihoods='NONE') | |
| return(response.generations[0].text) | |
| import gradio as gr | |
| with gr.Blocks() as demo: | |
| gr.Markdown("# Artificial Literature Generator : By Hrishikesh") | |
| #with gr.Row(): | |
| inp = gr.Textbox(placeholder="Enter the text", label = "Topic") | |
| btn = gr.Button("Generate your literature") | |
| out = gr.Textbox() | |
| btn.click(fn=write_post, inputs=inp, outputs=out) | |
| demo.launch(debug = True) | |