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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 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["path"],), None))
if message["text"] is not None:
history.append((message["text"], None))
return history, gr.MultimodalTextbox(value=None, interactive=False, file_types=["image"])
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__), "files/avatar.png"))),
)
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], queue=False).then(
bot, chatbot, chatbot, api_name="bot_response"
)
chat_msg.then(lambda: gr.Textbox(interactive=True), None, [chat_input], queue=False)
chatbot.like(print_like_dislike, None, None)
demo.queue()
if __name__ == "__main__":
demo.launch()
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