import gradio as gr 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) if __name__ == "__main__": demo.launch()