Spaces:
Running
Running
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 print_like_dislike(x: gr.LikeData): | |
print(x.index, x.value, x.liked) | |
def add_message(history, message): | |
for x in message["files"]: | |
history.append(((x,), None)) | |
if message["text"] is not None: | |
history.append((message["text"], None)) | |
return history, gr.MultimodalTextbox(value=None, interactive=False) | |
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 | |
) | |
chat_input = gr.MultimodalTextbox(interactive=True, file_types=["image"], placeholder="Enter message or upload file...", show_label=False) | |
chat_msg = chat_input.submit(add_message, [chatbot, chat_input], [chatbot, chat_input]) | |
bot_msg = chat_msg.then(bot, chatbot, chatbot, api_name="bot_response") | |
bot_msg.then(lambda: gr.MultimodalTextbox(interactive=True), None, [chat_input]) | |
chatbot.like(print_like_dislike, None, None) | |
demo.queue() | |
if __name__ == "__main__": | |
demo.launch() | |