Create app.py

app.py

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+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)
+
+demo.launch()