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import gradio as gr
import transformers
# Load the Dall-E2 model
# dalle2 = transformers.DALL_E2.from_pretrained('dall-e')
# Load the Stable Diffusion model
stable_diffusion = transformers.StableDiffusion.from_pretrained('stable-diffusion')
# Load the GPT-2 model
gpt2 = transformers.GPT2.from_pretrained('gpt2')
# Load the GPT-3 model
gpt3 = transformers.GPT3.from_pretrained('gpt3')
# Load the ChatGPT model
chatgpt = transformers.ChatGPT.from_pretrained('chatgpt')
# Define a function that takes in an input text and returns the output text generated by the model
def generate_text(input_text, model):
input_ids = model.encode(input_text)
output = model.generate(input_ids)
output_text = model.decode(output[0])
return output_text
# Create a Gradio interface for the Dall-E2 model
# dalle2_interface = gr.Interface(fn=generate_text,
# inputs=gr.inputs.Textbox(lines=1, label='Enter your text for Dall-E2'),
# outputs=gr.outputs.Textbox(label='Generated text'),
# description='Dall-E2 Text Generation',
# model=dalle2)
# dalle2_interface.launch()
# Create a Gradio interface for the Stable Diffusion model
stable_diffusion_interface = gr.Interface(fn=generate_text,
inputs=gr.inputs.Textbox(lines=1, label='Enter your text for Stable Diffusion'),
outputs=gr.outputs.Textbox(label='Generated text'),
description='Stable Diffusion Text Generation',
model=stable_diffusion)
stable_diffusion_interface.launch()
# Create a Gradio interface for the GPT-2 model
gpt2_interface = gr.Interface(fn=generate_text, inputs=gr.inputs.Textbox(lines=1, label='Enter your text for GPT-3'), outputs=gr.outputs.Textbox(label='Generated text'), description='GPT-2 Text Generation', model=gpt2)
gpt2_interface.launch()
# Create a Gradio interface for the GPT-3 model
gpt3_interface = gr.Interface(fn=generate_text, inputs=gr.inputs.Textbox(lines=1, label='Enter your text for GPT-3'), outputs=gr.outputs.Textbox(label='Generated text'), description='GPT-3 Text Generation', model=gpt3)
gpt3_interface.launch()
# Create a Gradio interface for the ChatGPT model
chatgpt_interface = gr.Interface(fn=generate_text, inputs=gr.inputs.Textbox(lines=1, label='Enter your text for ChatGPT'), outputs=gr.outputs.Textbox(label='Generated text'), description='ChatGPT Text Generation', model=chatgpt)
chatgpt_interface.launch() |