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| import gradio as gr | |
| import os | |
| import time | |
| # Chatbot demo with multimodal input (text, markdown, LaTeX, code blocks, image, audio, & video). Plus shows support for streaming text. | |
| def add_text(history, text): | |
| history = history + [(text, None)] | |
| return history, gr.Textbox(value="", interactive=False) | |
| def add_file(history, file): | |
| history = history + [((file.name,), None)] | |
| return history | |
| def bot(history): | |
| response = "**That's cool!**" | |
| history[-1][1] = "" | |
| for character in response: | |
| history[-1][1] += character | |
| time.sleep(0.05) | |
| yield history | |
| with gr.Blocks() as demo: | |
| chatbot = gr.Chatbot( | |
| [], | |
| elem_id="chatbot", | |
| bubble_full_width=False, | |
| avatar_images=(None, (os.path.join(os.path.dirname(__file__), "avatar.png"))), | |
| ) | |
| with gr.Row(): | |
| txt = gr.Textbox( | |
| scale=4, | |
| show_label=False, | |
| placeholder="Enter text and press enter, or upload an image", | |
| container=False, | |
| ) | |
| btn = gr.UploadButton("π", file_types=["image", "video", "audio"]) | |
| txt_msg = txt.submit(add_text, [chatbot, txt], [chatbot, txt], queue=False).then( | |
| bot, chatbot, chatbot, api_name="bot_response" | |
| ) | |
| txt_msg.then(lambda: gr.Textbox(interactive=True), None, [txt], queue=False) | |
| file_msg = btn.upload(add_file, [chatbot, btn], [chatbot], queue=False).then( | |
| bot, chatbot, chatbot | |
| ) | |
| demo.queue() | |
| if __name__ == "__main__": | |
| demo.launch() | |