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README.md

@@ -5,7 +5,7 @@ emoji: 🔥
 colorFrom: indigo
 colorTo: indigo
 sdk: gradio
-sdk_version: 5.49.1
+sdk_version: 6.0.0
 app_file: run.py
 pinned: false
 hf_oauth: true

multimodal_group_messages_testcase.py

@@ -0,0 +1,28 @@
+import gradio as gr
+
+runs = 0
+
+def reset_runs():
+    global runs
+    runs = 0
+
+def slow_echo(message, history):
+    global runs  # i didn't want to add state or anything to this demo
+    runs = runs + 1
+    for i in range(len(message['text'])):
+        yield f"Run {runs} - You typed: " + message['text'][: i + 1]
+    if "files" in message and message["files"]:
+        yield f"Run {runs} - You typed: " + message['text'] + f" And you sent {len(message['files'])} files"
+
+chat = gr.ChatInterface(slow_echo, multimodal=True)
+
+with gr.Blocks() as demo:
+    chat.render()
+    # We reset the global variable to minimize flakes
+    # this works because CI runs only one test at at time
+    # need to use gr.State if we want to parallelize this test
+    # currently chatinterface does not support that
+    demo.unload(reset_runs)
+
+if __name__ == "__main__":
+    demo.launch()

multimodal_messages_testcase.py

@@ -12,7 +12,7 @@ def slow_echo(message, history):
     for i in range(len(message['text'])):
         yield f"Run {runs} - You typed: " + message['text'][: i + 1]
 
-chat = gr.ChatInterface(slow_echo, multimodal=True, type="messages")
+chat = gr.ChatInterface(slow_echo, multimodal=True, api_name="chat")
 
 with gr.Blocks() as demo:
     chat.render()

multimodal_non_stream_testcase.py

@@ -11,7 +11,7 @@ def slow_echo(message, history):
     runs = runs + 1
     return f"Run {runs} - You typed: " + message['text']
 
-chat = gr.ChatInterface(slow_echo, multimodal=True, type="tuples")
+chat = gr.ChatInterface(slow_echo, multimodal=True, api_name="chat")
 
 with gr.Blocks() as demo:
     chat.render()

run.ipynb

@@ -1 +1 @@
-{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: test_chatinterface_streaming_echo"]}, {"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": ["# Downloading files from the demo repo\n", "import os\n", "!wget -q https://github.com/gradio-app/gradio/raw/main/demo/test_chatinterface_streaming_echo/messages_testcase.py\n", "!wget -q https://github.com/gradio-app/gradio/raw/main/demo/test_chatinterface_streaming_echo/multimodal_messages_testcase.py\n", "!wget -q https://github.com/gradio-app/gradio/raw/main/demo/test_chatinterface_streaming_echo/multimodal_non_stream_testcase.py\n", "!wget -q https://github.com/gradio-app/gradio/raw/main/demo/test_chatinterface_streaming_echo/multimodal_tuples_testcase.py"]}, {"cell_type": "code", "execution_count": null, "id": "44380577570523278879349135829904343037", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "\n", "runs = 0\n", "\n", "def reset_runs():\n", "    global runs\n", "    runs = 0\n", "\n", "def slow_echo(message, history):\n", "    global runs  # i didn't want to add state or anything to this demo\n", "    runs = runs + 1\n", "    for i in range(len(message)):\n", "        yield f\"Run {runs} - You typed: \" + message[: i + 1]\n", "\n", "chat = gr.ChatInterface(slow_echo, fill_height=True, editable=True)\n", "\n", "with gr.Blocks() as demo:\n", "    chat.render()\n", "    # We reset the global variable to minimize flakes\n", "    # this works because CI runs only one test at at time\n", "    # need to use gr.State if we want to parallelize this test\n", "    # currently chatinterface does not support that\n", "    demo.unload(reset_runs)\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
+{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: test_chatinterface_streaming_echo"]}, {"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": ["# Downloading files from the demo repo\n", "import os\n", "!wget -q https://github.com/gradio-app/gradio/raw/main/demo/test_chatinterface_streaming_echo/multimodal_group_messages_testcase.py\n", "!wget -q https://github.com/gradio-app/gradio/raw/main/demo/test_chatinterface_streaming_echo/multimodal_messages_testcase.py\n", "!wget -q https://github.com/gradio-app/gradio/raw/main/demo/test_chatinterface_streaming_echo/multimodal_non_stream_testcase.py"]}, {"cell_type": "code", "execution_count": null, "id": "44380577570523278879349135829904343037", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "\n", "runs = 0\n", "\n", "def reset_runs():\n", "    global runs\n", "    runs = 0\n", "\n", "def slow_echo(message, history):\n", "    global runs  # i didn't want to add state or anything to this demo\n", "    runs = runs + 1\n", "    for i in range(len(message)):\n", "        yield f\"Run {runs} - You typed: \" + message[: i + 1]\n", "\n", "chat = gr.ChatInterface(slow_echo, fill_height=True, editable=True, api_name=\"chat\")\n", "\n", "with gr.Blocks() as demo:\n", "    chat.render()\n", "    # We reset the global variable to minimize flakes\n", "    # this works because CI runs only one test at at time\n", "    # need to use gr.State if we want to parallelize this test\n", "    # currently chatinterface does not support that\n", "    demo.unload(reset_runs)\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

@@ -12,7 +12,7 @@ def slow_echo(message, history):
     for i in range(len(message)):
         yield f"Run {runs} - You typed: " + message[: i + 1]
 
-chat = gr.ChatInterface(slow_echo, fill_height=True, editable=True)
+chat = gr.ChatInterface(slow_echo, fill_height=True, editable=True, api_name="chat")
 
 with gr.Blocks() as demo:
     chat.render()