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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() |