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import gradio as gr
import os
import plotly.express as px
# Chatbot demo with multimodal input (text, markdown, LaTeX, code blocks, image, audio, & video). Plus shows support for streaming text.
def random_plot():
df = px.data.iris()
fig = px.scatter(df, x="sepal_width", y="sepal_length", color="species",
size='petal_length', hover_data=['petal_width'])
return fig
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):
history[-1][1] = "Cool!"
return history
fig = random_plot()
with gr.Blocks(fill_height=True) as demo:
chatbot = gr.Chatbot(
elem_id="chatbot",
bubble_full_width=False,
scale=1,
)
chat_input = gr.MultimodalTextbox(interactive=True,
file_count="multiple",
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()
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