messages_testcase.py

import gradio as gr
import random

# Chatbot demo with multimodal input (text, markdown, LaTeX, code blocks, image, audio, & video). Plus shows support for streaming text.

color_map = {
    "harmful": "crimson",
    "neutral": "gray",
    "beneficial": "green",
}

def html_src(harm_level):
    return f"""
<div style="display: flex; gap: 5px;padding: 2px 4px;margin-top: -40px">
  <div style="background-color: {color_map[harm_level]}; padding: 2px; border-radius: 5px;">
  {harm_level}
  </div>
</div>
"""

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({"role": "user", "content": {"path": x}})
    if message["text"] is not None:
        history.append({"role": "user", "content": message['text']})
    return history, gr.MultimodalTextbox(value=None, interactive=False)

def bot(history, response_type):
    if response_type == "gallery":
        msg = {"role": "assistant", "content": gr.Gallery(
            ["https://raw.githubusercontent.com/gradio-app/gradio/main/test/test_files/bus.png",
             "https://raw.githubusercontent.com/gradio-app/gradio/main/test/test_files/bus.png"]
            )
        }
    elif response_type == "image":
        msg = {"role": "assistant",
               "content": gr.Image("https://raw.githubusercontent.com/gradio-app/gradio/main/test/test_files/bus.png")
        }
    elif response_type == "video":
        msg = {"role": "assistant",
               "content": gr.Video("https://github.com/gradio-app/gradio/raw/main/demo/video_component/files/world.mp4",
                                   label="test")
        }
    elif response_type == "audio":
        msg = {"role": "assistant",
               "content": gr.Audio("https://github.com/gradio-app/gradio/raw/main/test/test_files/audio_sample.wav")
        }
    elif response_type == "html":
       msg = {"role": "assistant",
              "content": gr.HTML(
            html_src(random.choice(["harmful", "neutral", "beneficial"]))
            )
       }
    elif response_type == "model3d":
        msg = {"role": "assistant", "content": gr.Model3D(
           "https://github.com/gradio-app/gradio/raw/main/test/test_files/Fox.gltf"
        )}
    else:
        msg = {"role": "assistant", "content": "Cool!"}
    history.append(msg)
    return history

with gr.Blocks(fill_height=True) as demo:
    chatbot = gr.Chatbot(
        elem_id="chatbot",
        bubble_full_width=False,
        scale=1,
        type="messages"
    )
    response_type = gr.Radio(
        [
            "image",
            "text",
            "gallery",
            "video",
            "audio",
            "html",
            "model3d",
        ],
        value="text",
        label="Response Type",
    )

    chat_input = gr.MultimodalTextbox(
        interactive=True,
        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, response_type], 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()