| import gradio as gr | |
| from gradio_multimodalchatbot import MultimodalChatbot | |
| from gradio.data_classes import FileData | |
| user_msg1 = {"text": "Hello, what is in this image?", | |
| "files": [{"file": FileData(path="https://gradio-builds.s3.amazonaws.com/diffusion_image/cute_dog.jpg")}] | |
| } | |
| bot_msg1 = {"text": "It is a very cute dog", | |
| "files": []} | |
| user_msg2 = {"text": "Describe this audio clip please.", | |
| "files": [{"file": FileData(path="cantina.wav")}]} | |
| bot_msg2 = {"text": "It is the cantina song from Star Wars", | |
| "files": []} | |
| user_msg3 = {"text": "Give me a video clip please.", | |
| "files": []} | |
| bot_msg3 = {"text": "Here is a video clip of the world", | |
| "files": [{"file": FileData(path="world.mp4")}, | |
| {"file": FileData(path="cantina.wav")}]} | |
| conversation = [[user_msg1, bot_msg1], [user_msg2, bot_msg2], [user_msg3, bot_msg3]] | |
| with gr.Blocks() as demo: | |
| MultimodalChatbot(value=conversation, height=800) | |
| if __name__ == "__main__": | |
| demo.launch() | |