diff --git a/.changeset/chilly-buttons-grin.md b/.changeset/chilly-buttons-grin.md
new file mode 100644
index 0000000000..d2877d732d
--- /dev/null
+++ b/.changeset/chilly-buttons-grin.md
@@ -0,0 +1,5 @@
+---
+"gradio": minor
+---
+
+feat:Remove gr.mix
diff --git a/demo/interface_parallel/run.ipynb b/demo/interface_parallel/run.ipynb
deleted file mode 100644
index 146323684a..0000000000
--- a/demo/interface_parallel/run.ipynb
+++ /dev/null
@@ -1 +0,0 @@
-{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: interface_parallel"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio "]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "\n", "greeter_1 = gr.Interface(lambda name: f\"Hello {name}!\", inputs=\"textbox\", outputs=gr.Textbox(label=\"Greeter 1\"))\n", "greeter_2 = gr.Interface(lambda name: f\"Greetings {name}!\", inputs=\"textbox\", outputs=gr.Textbox(label=\"Greeter 2\"))\n", "demo = gr.Parallel(greeter_1, greeter_2)\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
\ No newline at end of file
diff --git a/demo/interface_parallel/run.py b/demo/interface_parallel/run.py
deleted file mode 100644
index 8ac946bd16..0000000000
--- a/demo/interface_parallel/run.py
+++ /dev/null
@@ -1,8 +0,0 @@
-import gradio as gr
-
-greeter_1 = gr.Interface(lambda name: f"Hello {name}!", inputs="textbox", outputs=gr.Textbox(label="Greeter 1"))
-greeter_2 = gr.Interface(lambda name: f"Greetings {name}!", inputs="textbox", outputs=gr.Textbox(label="Greeter 2"))
-demo = gr.Parallel(greeter_1, greeter_2)
-
-if __name__ == "__main__":
-    demo.launch()
\ No newline at end of file
diff --git a/demo/interface_parallel_load/run.ipynb b/demo/interface_parallel_load/run.ipynb
deleted file mode 100644
index 4ac4acb308..0000000000
--- a/demo/interface_parallel_load/run.ipynb
+++ /dev/null
@@ -1 +0,0 @@
-{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: interface_parallel_load"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio "]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "\n", "generator1 = gr.load(\"huggingface/gpt2\")\n", "generator2 = gr.load(\"huggingface/gpt2-xl\")\n", "\n", "demo = gr.Parallel(generator1, generator2)\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
\ No newline at end of file
diff --git a/demo/interface_parallel_load/run.py b/demo/interface_parallel_load/run.py
deleted file mode 100644
index 5adb5b8322..0000000000
--- a/demo/interface_parallel_load/run.py
+++ /dev/null
@@ -1,9 +0,0 @@
-import gradio as gr
-
-generator1 = gr.load("huggingface/gpt2")
-generator2 = gr.load("huggingface/gpt2-xl")
-
-demo = gr.Parallel(generator1, generator2)
-
-if __name__ == "__main__":
-    demo.launch()
\ No newline at end of file
diff --git a/demo/interface_series/run.ipynb b/demo/interface_series/run.ipynb
deleted file mode 100644
index 0f82c93d46..0000000000
--- a/demo/interface_series/run.ipynb
+++ /dev/null
@@ -1 +0,0 @@
-{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: interface_series"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio "]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "\n", "get_name = gr.Interface(lambda name: name, inputs=\"textbox\", outputs=\"textbox\")\n", "prepend_hello = gr.Interface(lambda name: f\"Hello {name}!\", inputs=\"textbox\", outputs=\"textbox\")\n", "append_nice = gr.Interface(lambda greeting: f\"Nice to meet you!\",\n", "                           inputs=\"textbox\", outputs=gr.Textbox(label=\"Greeting\"))\n", "translator = gr.Interface(lambda s: \"https://gradio-builds.s3.amazonaws.com/diffusion_image/cute_dog.jpg\", gr.Textbox(), gr.Image())\n", "demo = gr.Series(get_name, translator, append_nice)\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
\ No newline at end of file
diff --git a/demo/interface_series/run.py b/demo/interface_series/run.py
deleted file mode 100644
index dbad6acd61..0000000000
--- a/demo/interface_series/run.py
+++ /dev/null
@@ -1,11 +0,0 @@
-import gradio as gr
-
-get_name = gr.Interface(lambda name: name, inputs="textbox", outputs="textbox")
-prepend_hello = gr.Interface(lambda name: f"Hello {name}!", inputs="textbox", outputs="textbox")
-append_nice = gr.Interface(lambda greeting: f"Nice to meet you!",
-                           inputs="textbox", outputs=gr.Textbox(label="Greeting"))
-translator = gr.Interface(lambda s: "https://gradio-builds.s3.amazonaws.com/diffusion_image/cute_dog.jpg", gr.Textbox(), gr.Image())
-demo = gr.Series(get_name, translator, append_nice)
-
-if __name__ == "__main__":
-    demo.launch()
\ No newline at end of file
diff --git a/demo/interface_series_load/run.ipynb b/demo/interface_series_load/run.ipynb
deleted file mode 100644
index e7e5c71d47..0000000000
--- a/demo/interface_series_load/run.ipynb
+++ /dev/null
@@ -1 +0,0 @@
-{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: interface_series_load"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio "]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "import numpy as np\n", "\n", "generator = gr.load(\"huggingface/gpt2\")\n", "\n", "\n", "translator = gr.Interface(lambda s: \"https://gradio-builds.s3.amazonaws.com/diffusion_image/cute_dog.jpg\", gr.Textbox(), gr.Image())\n", "\n", "demo = gr.Series(generator, translator, description=\"This demo combines two Spaces: a text generator (`huggingface/gpt2`) and a text translator (`huggingface/t5-small`). The first Space takes a prompt as input and generates a text. The second Space takes the generated text as input and translates it into another language.\")\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
\ No newline at end of file
diff --git a/demo/interface_series_load/run.py b/demo/interface_series_load/run.py
deleted file mode 100644
index e7131fd5b8..0000000000
--- a/demo/interface_series_load/run.py
+++ /dev/null
@@ -1,12 +0,0 @@
-import gradio as gr
-import numpy as np
-
-generator = gr.load("huggingface/gpt2")
-
-
-translator = gr.Interface(lambda s: "https://gradio-builds.s3.amazonaws.com/diffusion_image/cute_dog.jpg", gr.Textbox(), gr.Image())
-
-demo = gr.Series(generator, translator, description="This demo combines two Spaces: a text generator (`huggingface/gpt2`) and a text translator (`huggingface/t5-small`). The first Space takes a prompt as input and generates a text. The second Space takes the generated text as input and translates it into another language.")
-
-if __name__ == "__main__":
-    demo.launch()
\ No newline at end of file
diff --git a/gradio/__init__.py b/gradio/__init__.py
index a92c941aac..4d66886270 100644
--- a/gradio/__init__.py
+++ b/gradio/__init__.py
@@ -78,7 +78,6 @@ from gradio.helpers import create_examples as Examples  # noqa: N812
 from gradio.interface import Interface, TabbedInterface, close_all
 from gradio.ipython_ext import load_ipython_extension
 from gradio.layouts import Accordion, Column, Group, Row, Tab, TabItem, Tabs
-from gradio.mix import Parallel, Series
 from gradio.oauth import OAuthProfile
 from gradio.routes import Request, mount_gradio_app
 from gradio.templates import (
diff --git a/gradio/cli/commands/reload.py b/gradio/cli/commands/reload.py
index a337f9faa0..babb459f7d 100644
--- a/gradio/cli/commands/reload.py
+++ b/gradio/cli/commands/reload.py
@@ -38,8 +38,6 @@ def _setup_config(
         f"{demo_name} = gr\\.Blocks",
         f"{demo_name} = gr\\.Interface",
         f"{demo_name} = gr\\.ChatInterface",
-        f"{demo_name} = gr\\.Series",
-        f"{demo_name} = gr\\.Parallel",
         f"{demo_name} = gr\\.TabbedInterface",
     ]
 
diff --git a/gradio/mix.py b/gradio/mix.py
deleted file mode 100644
index caf2c68b83..0000000000
--- a/gradio/mix.py
+++ /dev/null
@@ -1,129 +0,0 @@
-"""
-Ways to transform interfaces to produce new interfaces
-"""
-import asyncio
-import warnings
-
-from gradio_client.documentation import document, set_documentation_group
-
-import gradio
-
-set_documentation_group("mix_interface")
-
-
-@document()
-class Parallel(gradio.Interface):
-    """
-    Creates a new Interface consisting of multiple Interfaces in parallel (comparing their outputs).
-    The Interfaces to put in Parallel must share the same input components (but can have different output components).
-
-    Demos: interface_parallel, interface_parallel_load
-    Guides: advanced-interface-features
-    """
-
-    def __init__(self, *interfaces: gradio.Interface, **options):
-        """
-        Parameters:
-            interfaces: any number of Interface objects that are to be compared in parallel
-            options: additional kwargs that are passed into the new Interface object to customize it
-        Returns:
-            an Interface object comparing the given models
-        """
-        outputs = []
-
-        for interface in interfaces:
-            if not (isinstance(interface, gradio.Interface)):
-                warnings.warn(
-                    "Parallel requires all inputs to be of type Interface. "
-                    "May not work as expected."
-                )
-            outputs.extend(interface.output_components)
-
-        async def parallel_fn(*args):
-            return_values_with_durations = await asyncio.gather(
-                *[interface.call_function(0, list(args)) for interface in interfaces]
-            )
-            return_values = [rv["prediction"] for rv in return_values_with_durations]
-            combined_list = []
-            for interface, return_value in zip(interfaces, return_values):
-                if len(interface.output_components) == 1:
-                    combined_list.append(return_value)
-                else:
-                    combined_list.extend(return_value)
-            if len(outputs) == 1:
-                return combined_list[0]
-            return combined_list
-
-        parallel_fn.__name__ = " | ".join([io.__name__ for io in interfaces])
-
-        kwargs = {
-            "fn": parallel_fn,
-            "inputs": interfaces[0].input_components,
-            "outputs": outputs,
-        }
-        kwargs.update(options)
-        super().__init__(**kwargs)
-
-
-@document()
-class Series(gradio.Interface):
-    """
-    Creates a new Interface from multiple Interfaces in series (the output of one is fed as the input to the next,
-    and so the input and output components must agree between the interfaces).
-
-    Demos: interface_series, interface_series_load
-    Guides: advanced-interface-features
-    """
-
-    def __init__(self, *interfaces: gradio.Interface, **options):
-        """
-        Parameters:
-            interfaces: any number of Interface objects that are to be connected in series
-            options: additional kwargs that are passed into the new Interface object to customize it
-        Returns:
-            an Interface object connecting the given models
-        """
-
-        async def connected_fn(*data):
-            for idx, interface in enumerate(interfaces):
-                # skip preprocessing for first interface since the Series interface will include it
-                if idx > 0 and not (interface.api_mode):
-                    data = [
-                        input_component.preprocess(data[i])
-                        for i, input_component in enumerate(interface.input_components)
-                    ]
-
-                # run all of predictions sequentially
-                data = (await interface.call_function(0, list(data)))["prediction"]
-                if len(interface.output_components) == 1:
-                    data = [data]
-
-                # skip postprocessing for final interface since the Series interface will include it
-                if idx < len(interfaces) - 1 and not (interface.api_mode):
-                    data = [
-                        output_component.postprocess(data[i])
-                        for i, output_component in enumerate(
-                            interface.output_components
-                        )
-                    ]
-
-            if len(interface.output_components) == 1:  # type: ignore
-                return data[0]
-            return data
-
-        for interface in interfaces:
-            if not (isinstance(interface, gradio.Interface)):
-                warnings.warn(
-                    "Series requires all inputs to be of type Interface. May "
-                    "not work as expected."
-                )
-        connected_fn.__name__ = " => ".join([io.__name__ for io in interfaces])
-
-        kwargs = {
-            "fn": connected_fn,
-            "inputs": interfaces[0].input_components,
-            "outputs": interfaces[-1].output_components,
-            "_api_mode": interfaces[0].api_mode,  # TODO: set api_mode per-interface
-        }
-        kwargs.update(options)
-        super().__init__(**kwargs)
diff --git a/scripts/copy_demos.py b/scripts/copy_demos.py
index e99db41b94..91c8d296e6 100644
--- a/scripts/copy_demos.py
+++ b/scripts/copy_demos.py
@@ -26,9 +26,7 @@ def copy_all_demos(source_dir: str, dest_dir: str):
         "fake_diffusion_with_gif",
         "image_mod_default_image",
         "image_segmentation",
-        "interface_parallel_load",
         "interface_random_slider",
-        "interface_series_load",
         "kitchen_sink",
         "kitchen_sink_random",
         "matrix_transpose",
diff --git a/test/test_mix.py b/test/test_mix.py
deleted file mode 100644
index fb87d26ea1..0000000000
--- a/test/test_mix.py
+++ /dev/null
@@ -1,56 +0,0 @@
-import gradio as gr
-from gradio import mix
-from gradio.external import TooManyRequestsError
-
-"""
-WARNING: Some of these tests have an external dependency: namely that Hugging Face's Hub and Space APIs do not change, and they keep their most famous models up.
-So if, e.g. Spaces is down, then these test will not pass.
-"""
-
-
-class TestSeries:
-    def test_in_interface(self):
-        io1 = gr.Interface(lambda x: f"{x} World", "textbox", gr.Textbox())
-        io2 = gr.Interface(lambda x: f"{x}!", "textbox", gr.Textbox())
-        series = mix.Series(io1, io2)
-        assert series("Hello") == "Hello World!"
-
-    def test_with_external(self):
-        io1 = gr.load("spaces/gradio-tests/image-identity-newv4-sse")
-        io2 = gr.load("spaces/gradio-tests/image-classifier-newv4-sse")
-        series = mix.Series(io1, io2)
-        try:
-            assert series("gradio/test_data/lion.jpg")["label"] == "lion"
-        except TooManyRequestsError:
-            pass
-
-
-class TestParallel:
-    def test_in_interface(self):
-        io1 = gr.Interface(lambda x: f"{x} World 1!", "textbox", gr.Textbox())
-        io2 = gr.Interface(lambda x: f"{x} World 2!", "textbox", gr.Textbox())
-        parallel = mix.Parallel(io1, io2)
-        assert parallel("Hello") == ["Hello World 1!", "Hello World 2!"]
-
-    def test_multiple_return_in_interface(self):
-        io1 = gr.Interface(
-            lambda x: (x, x + x), "textbox", [gr.Textbox(), gr.Textbox()]
-        )
-        io2 = gr.Interface(lambda x: f"{x} World 2!", "textbox", gr.Textbox())
-        parallel = mix.Parallel(io1, io2)
-        assert parallel("Hello") == [
-            "Hello",
-            "HelloHello",
-            "Hello World 2!",
-        ]
-
-    def test_with_external(self):
-        io1 = gr.load("spaces/gradio-tests/english_to_spanishv4-sse")
-        io2 = gr.load("spaces/gradio-tests/english2germanv4-sse")
-        parallel = mix.Parallel(io1, io2)
-        try:
-            hello_es, hello_de = parallel("Hello")
-            assert "hola" in hello_es.lower()
-            assert "hallo" in hello_de.lower()
-        except TooManyRequestsError:
-            pass