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()