Create app.py

app.py

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+import gradio as gr
+from gradio_multimodalchatbot import MultimodalChatbot
+from gradio.data_classes import FileData
+
+user_msg1 = {"text": "Hello, what is in this image?",
+             "files": [{"file": FileData(path="https://gradio-builds.s3.amazonaws.com/diffusion_image/cute_dog.jpg")}]
+             }
+bot_msg1 = {"text": "It is a very cute dog",
+            "files": []}
+
+user_msg2 = {"text": "Describe this audio clip please.",
+             "files": [{"file": FileData(path="cantina.wav")}]}
+bot_msg2 = {"text": "It is the cantina song from Star Wars",
+            "files": []}
+
+user_msg3 = {"text": "Give me a video clip please.",
+             "files": []}
+bot_msg3 = {"text": "Here is a video clip of the world",
+            "files": [{"file": FileData(path="world.mp4")},
+                      {"file": FileData(path="cantina.wav")}]}
+
+conversation = [[user_msg1, bot_msg1], [user_msg2, bot_msg2], [user_msg3, bot_msg3]]
+
+with gr.Blocks() as demo:
+    MultimodalChatbot(value=conversation, height=800)
+
+
+demo.launch()