Create app.py

app.py

@@ -0,0 +1,36 @@
+import gradio as gr
+
+def general_chat(text: str, gr_history: list):
+    yield text
+
+def online_chat(gr_webcam_image, gr_history: list):
+    if gr_webcam_image:
+        query = {"role": "user", "content": (gr_webcam_image, )} 
+        response = {"role": "assistant", "content": 'this is a frame.'}
+        gr_history.extend([query, response])
+        yield gr_history
+
+with gr.Blocks() as demo:
+    gr.Markdown("## Simple Streaming Record and Response")
+    with gr.Row():
+        with gr.Column():
+            gr_webcam_image = gr.Image(
+                label='WebCam',
+                sources="webcam",
+                height=250,
+                type='filepath')
+        gr_chatinterface_ol = gr.ChatInterface(
+            fn=general_chat,
+            type="messages",
+            multimodal=True,
+        )
+        gr_webcam_image.stream(
+            fn=online_chat,
+            inputs=[gr_webcam_image, gr_chatinterface_ol.chatbot],
+            outputs=[gr_chatinterface_ol.chatbot],
+            stream_every=1,
+            concurrency_limit=30,
+        )
+demo.queue(default_concurrency_limit=100, max_size=100).launch(share=True,
+                                                               max_threads=100,
+                                                               ssr_mode=False)