Merge branch 'main' of https://github.com/holoviz-topics/panel-chat-e…

…xamples into enhancement/streamlit-components
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diff --git a/docs/assets/thumbnails/basic_chat.png b/docs/assets/thumbnails/basic_chat.png
diff --git a/docs/assets/thumbnails/basic_streaming_chat.png b/docs/assets/thumbnails/basic_streaming_chat.png
diff --git a/docs/assets/thumbnails/basic_streaming_chat_async.png b/docs/assets/thumbnails/basic_streaming_chat_async.png
diff --git a/docs/assets/thumbnails/component_environment_widget.png b/docs/assets/thumbnails/component_environment_widget.png
diff --git a/docs/assets/thumbnails/feature_chained_response.png b/docs/assets/thumbnails/feature_chained_response.png
diff --git a/docs/assets/thumbnails/feature_delayed_placeholder.png b/docs/assets/thumbnails/feature_delayed_placeholder.png
diff --git a/docs/assets/thumbnails/feature_replace_response.png b/docs/assets/thumbnails/feature_replace_response.png
diff --git a/docs/assets/thumbnails/feature_slim_interface.png b/docs/assets/thumbnails/feature_slim_interface.png
diff --git a/docs/assets/thumbnails/langchain_llama_and_mistral.png b/docs/assets/thumbnails/langchain_llama_and_mistral.png
diff --git a/docs/assets/thumbnails/langchain_math_assistant.png b/docs/assets/thumbnails/langchain_math_assistant.png
diff --git a/docs/assets/thumbnails/langchain_pdf_assistant.png b/docs/assets/thumbnails/langchain_pdf_assistant.png
diff --git a/docs/assets/thumbnails/langchain_with_memory.png b/docs/assets/thumbnails/langchain_with_memory.png
diff --git a/docs/assets/thumbnails/mistral_and_llama.png b/docs/assets/thumbnails/mistral_and_llama.png
diff --git a/docs/assets/thumbnails/mistral_chat.png b/docs/assets/thumbnails/mistral_chat.png
diff --git a/docs/assets/thumbnails/mistral_with_memory.png b/docs/assets/thumbnails/mistral_with_memory.png
diff --git a/docs/assets/thumbnails/openai_async_chat.png b/docs/assets/thumbnails/openai_async_chat.png
diff --git a/docs/assets/thumbnails/openai_authentication.png b/docs/assets/thumbnails/openai_authentication.png
diff --git a/docs/assets/thumbnails/openai_chat.png b/docs/assets/thumbnails/openai_chat.png
diff --git a/docs/assets/thumbnails/openai_hvplot.png b/docs/assets/thumbnails/openai_hvplot.png
diff --git a/docs/assets/thumbnails/openai_image_generation.png b/docs/assets/thumbnails/openai_image_generation.png
diff --git a/docs/assets/thumbnails/openai_two_bots.png b/docs/assets/thumbnails/openai_two_bots.png
diff --git a/docs/assets/videos/basic_chat.mp4 b/docs/assets/videos/basic_chat.mp4
diff --git a/docs/assets/videos/basic_streaming_chat.mp4 b/docs/assets/videos/basic_streaming_chat.mp4
diff --git a/docs/assets/videos/basic_streaming_chat_async.mp4 b/docs/assets/videos/basic_streaming_chat_async.mp4
diff --git a/docs/assets/videos/component_environment_widget.mp4 b/docs/assets/videos/component_environment_widget.mp4
diff --git a/docs/assets/videos/feature_chained_response.mp4 b/docs/assets/videos/feature_chained_response.mp4
diff --git a/docs/assets/videos/feature_delayed_placeholder.mp4 b/docs/assets/videos/feature_delayed_placeholder.mp4
diff --git a/docs/assets/videos/feature_replace_response.mp4 b/docs/assets/videos/feature_replace_response.mp4
diff --git a/docs/assets/videos/feature_slim_interface.mp4 b/docs/assets/videos/feature_slim_interface.mp4
diff --git a/docs/assets/videos/langchain_llama_and_mistral.mp4 b/docs/assets/videos/langchain_llama_and_mistral.mp4
diff --git a/docs/assets/videos/langchain_math_assistant.mp4 b/docs/assets/videos/langchain_math_assistant.mp4
diff --git a/docs/assets/videos/langchain_pdf_assistant.mp4 b/docs/assets/videos/langchain_pdf_assistant.mp4
diff --git a/docs/assets/videos/langchain_with_memory.mp4 b/docs/assets/videos/langchain_with_memory.mp4
diff --git a/docs/assets/videos/mistral_and_llama.mp4 b/docs/assets/videos/mistral_and_llama.mp4
diff --git a/docs/assets/videos/mistral_chat.mp4 b/docs/assets/videos/mistral_chat.mp4
diff --git a/docs/assets/videos/mistral_with_memory.mp4 b/docs/assets/videos/mistral_with_memory.mp4
diff --git a/docs/assets/videos/openai_async_chat.mp4 b/docs/assets/videos/openai_async_chat.mp4
diff --git a/docs/assets/videos/openai_authentication.mp4 b/docs/assets/videos/openai_authentication.mp4
diff --git a/docs/assets/videos/openai_chat.mp4 b/docs/assets/videos/openai_chat.mp4
diff --git a/docs/assets/videos/openai_hvplot.mp4 b/docs/assets/videos/openai_hvplot.mp4
diff --git a/docs/assets/videos/openai_image_generation.mp4 b/docs/assets/videos/openai_image_generation.mp4
diff --git a/docs/assets/videos/openai_two_bots.mp4 b/docs/assets/videos/openai_two_bots.mp4
diff --git a/docs/examples/features/feature_chained_response.py b/docs/examples/features/feature_chained_response.py
@@ -18,16 +18,16 @@ async def callback(contents: str, user: str, instance: pn.chat.ChatInterface):
         yield {
             "user": ARM_BOT,
             "avatar": "🦾",
-            "value": f"Hey, {LEG_BOT}! Did you hear the user?",
+            "object": f"Hey, {LEG_BOT}! Did you hear the user?",
         }
         instance.respond()
     elif user == ARM_BOT:
-        user_message = instance.value[-2]
-        user_contents = user_message.value
+        user_message = instance.objects[-2]
+        user_contents = user_message.object
         yield {
             "user": LEG_BOT,
             "avatar": "🦿",
-            "value": f'Yeah! They said "{user_contents}".',
+            "object": f'Yeah! They said "{user_contents}".',
         }
 
 

diff --git a/docs/examples/langchain/langchain_math_assistant.py b/docs/examples/langchain/langchain_math_assistant.py
@@ -14,7 +14,7 @@
 
 async def callback(contents: str, user: str, instance: pn.chat.ChatInterface):
     final_answer = await llm_math.arun(question=contents)
-    instance.stream(final_answer, message=instance.value[-1])
+    instance.stream(final_answer, message=instance.objects[-1])
 
 
 chat_interface = pn.chat.ChatInterface(callback=callback, callback_user="Langchain")

diff --git a/docs/examples/langchain/langchain_pdf_assistant.py b/docs/examples/langchain/langchain_pdf_assistant.py
@@ -132,7 +132,7 @@ def _send_not_ready_message(chat_interface) -> bool:
     message = _get_validation_message()
 
     if message:
-        chat_interface.send({"user": "System", "value": message}, respond=False)
+        chat_interface.send({"user": "System", "object": message}, respond=False)
     return bool(message)
 
 
@@ -142,14 +142,14 @@ async def respond(contents, user, chat_interface):
     if chat_interface.active == 0:
         chat_interface.active = 1
         chat_interface.active_widget.placeholder = "Ask questions here!"
-        yield {"user": "OpenAI", "value": "Let's chat about the PDF!"}
+        yield {"user": "OpenAI", "object": "Let's chat about the PDF!"}
         return
 
     response, documents = _get_response(contents)
     pages_layout = pn.Accordion(*documents, sizing_mode="stretch_width", max_width=800)
     answers = pn.Column(response["result"], pages_layout)
 
-    yield {"user": "OpenAI", "value": answers}
+    yield {"user": "OpenAI", "object": answers}
 
 
 chat_interface = pn.chat.ChatInterface(

diff --git a/docs/examples/mistral/mistral_with_memory.py b/docs/examples/mistral/mistral_with_memory.py
@@ -18,12 +18,12 @@ def apply_template(history):
     prompt = ""
     for i, message in enumerate(history):
         if i == 0:
-            prompt += f"<s>[INST]{SYSTEM_INSTRUCTIONS} {message.value}[/INST]"
+            prompt += f"<s>[INST]{SYSTEM_INSTRUCTIONS} {message.object}[/INST]"
         else:
             if message.user == "Mistral":
-                prompt += f"{message.value}</s>"
+                prompt += f"{message.object}</s>"
             else:
-                prompt += f"""[INST]{message.value}[/INST]"""
+                prompt += f"""[INST]{message.object}[/INST]"""
     return prompt
 
 
@@ -42,7 +42,7 @@ async def callback(contents: str, user: str, instance: pn.chat.ChatInterface):
         )
 
     llm = llms["mistral"]
-    history = [message for message in instance.value]
+    history = [message for message in instance.objects]
     prompt = apply_template(history)
     response = llm(prompt, stream=True)
     message = ""

diff --git a/docs/examples/openai/openai_hvplot.py b/docs/examples/openai/openai_hvplot.py
@@ -56,7 +56,7 @@ async def respond_with_executor(code: str):
     plot = exec_with_return(code=code, global_context=context)
     return {
         "user": "Executor",
-        "value": pn.Tabs(
+        "object": pn.Tabs(
             ("Plot", plot),
             ("Code", code_block),
         ),

diff --git a/docs/examples/openai/openai_two_bots.py b/docs/examples/openai/openai_two_bots.py
@@ -32,9 +32,9 @@ async def callback(
     message = ""
     async for chunk in response:
         message += chunk["choices"][0]["delta"].get("content", "")
-        yield {"user": callback_user, "avatar": callback_avatar, "value": message}
+        yield {"user": callback_user, "avatar": callback_avatar, "object": message}
 
-    if len(instance.value) % 6 == 0:  # stop at every 6 messages
+    if len(instance.objects) % 6 == 0:  # stop at every 6 messages
         instance.send(
             "That's it for now! Thanks for chatting!", user="System", respond=False
         )

diff --git a/docs/features.md b/docs/features.md
@@ -37,16 +37,16 @@ async def callback(contents: str, user: str, instance: pn.chat.ChatInterface):
         yield {
             "user": ARM_BOT,
             "avatar": "🦾",
-            "value": f"Hey, {LEG_BOT}! Did you hear the user?",
+            "object": f"Hey, {LEG_BOT}! Did you hear the user?",
         }
         instance.respond()
     elif user == ARM_BOT:
-        user_message = instance.value[-2]
-        user_contents = user_message.value
+        user_message = instance.objects[-2]
+        user_contents = user_message.object
         yield {
             "user": LEG_BOT,
             "avatar": "🦿",
-            "value": f'Yeah! They said "{user_contents}".',
+            "object": f'Yeah! They said "{user_contents}".',
         }
 
 

diff --git a/docs/langchain.md b/docs/langchain.md
@@ -133,7 +133,7 @@ pn.extension(design="material")
 
 async def callback(contents: str, user: str, instance: pn.chat.ChatInterface):
     final_answer = await llm_math.arun(question=contents)
-    instance.stream(final_answer, message=instance.value[-1])
+    instance.stream(final_answer, message=instance.object[-1])
 
 
 chat_interface = pn.chat.ChatInterface(callback=callback, callback_user="Langchain")
@@ -302,7 +302,7 @@ def _send_not_ready_message(chat_interface) -> bool:
     message = _get_validation_message()
 
     if message:
-        chat_interface.send({"user": "System", "value": message}, respond=False)
+        chat_interface.send({"user": "System", "object": message}, respond=False)
     return bool(message)
 
 
@@ -312,14 +312,14 @@ async def respond(contents, user, chat_interface):
     if chat_interface.active == 0:
         chat_interface.active = 1
         chat_interface.active_widget.placeholder = "Ask questions here!"
-        yield {"user": "OpenAI", "value": "Let's chat about the PDF!"}
+        yield {"user": "OpenAI", "object": "Let's chat about the PDF!"}
         return
 
     response, documents = _get_response(contents)
     pages_layout = pn.Accordion(*documents, sizing_mode="stretch_width", max_width=800)
     answers = pn.Column(response["result"], pages_layout)
 
-    yield {"user": "OpenAI", "value": answers}
+    yield {"user": "OpenAI", "object": answers}
 
 
 chat_interface = pn.chat.ChatInterface(

diff --git a/docs/mistral.md b/docs/mistral.md
@@ -175,12 +175,12 @@ def apply_template(history):
     prompt = ""
     for i, message in enumerate(history):
         if i == 0:
-            prompt += f"<s>[INST]{SYSTEM_INSTRUCTIONS} {message.value}[/INST]"
+            prompt += f"<s>[INST]{SYSTEM_INSTRUCTIONS} {message.object}[/INST]"
         else:
             if message.user == "Mistral":
-                prompt += f"{message.value}</s>"
+                prompt += f"{message.object}</s>"
             else:
-                prompt += f"""[INST]{message.value}[/INST]"""
+                prompt += f"""[INST]{message.object}[/INST]"""
     return prompt
 
 
@@ -199,7 +199,7 @@ async def callback(contents: str, user: str, instance: pn.chat.ChatInterface):
         )
 
     llm = llms["mistral"]
-    history = [message for message in instance.value]
+    history = [message for message in instance.objects]
     prompt = apply_template(history)
     response = llm(prompt, stream=True)
     message = ""

diff --git a/docs/openai.md b/docs/openai.md
@@ -263,7 +263,7 @@ async def respond_with_executor(code: str):
     plot = exec_with_return(code=code, global_context=context)
     return {
         "user": "Executor",
-        "value": pn.Tabs(
+        "object": pn.Tabs(
             ("Plot", plot),
             ("Code", code_block),
         ),
@@ -402,9 +402,9 @@ async def callback(
     message = ""
     async for chunk in response:
         message += chunk["choices"][0]["delta"].get("content", "")
-        yield {"user": callback_user, "avatar": callback_avatar, "value": message}
+        yield {"user": callback_user, "avatar": callback_avatar, "object": message}
 
-    if len(instance.value) % 6 == 0:  # stop at every 6 messages
+    if len(instance.objects) % 6 == 0:  # stop at every 6 messages
         instance.send(
             "That's it for now! Thanks for chatting!", user="System", respond=False
         )
@@ -420,4 +420,4 @@ chat_interface.send(
 )
 chat_interface.servable()
 ```
-</details>
+</details>
diff --git a/tests/ui/test_all.py b/tests/ui/test_all.py
@@ -87,7 +87,7 @@ def test_app(server, app_path, port, page):
     # zoom and run should be defined for all examples
     # even if we don't run the video
     run = ACTION[name]
-    zoom = ZOOM[name]
+    zoom = ZOOM.get(name, 1.5)
 
     # We cannot run these tests in pipelines etc. as they require models downloaded,
     # api keys etc.

diff --git a/tests/ui/user.py b/tests/ui/user.py
@@ -117,7 +117,7 @@ def langchain_llama_and_mistral(page: Page):
     # Could not get this working as it always starts by downloading models
     chat = ChatInterface(page)
     chat.send("Please explain what kind of model you are in one sentence")
-    page.wait_for_timeout(10000)
+    page.wait_for_timeout(15000)
 
 
 def langchain_with_memory(page: Page):
@@ -148,6 +148,12 @@ def langchain_pdf_assistant(page: Page):
     page.wait_for_timeout(10000)
 
 
+def mistral_and_llama(page: Page):
+    chat = ChatInterface(page)
+    chat.send("What do you think about HoloViz in a single sentence?")
+    page.wait_for_timeout(15000)
+
+
 def mistral_chat(page: Page):
     chat = ChatInterface(page)
     chat.send("What is HoloViz Panel in one sentence")
@@ -229,6 +235,7 @@ def openai_two_bots(page: Page):
     "langchain_math_assistant.py": langchain_math_assistant,
     "langchain_pdf_assistant.py": langchain_pdf_assistant,
     "langchain_with_memory.py": langchain_with_memory,
+    "mistral_and_llama.py": mistral_and_llama,
     "mistral_chat.py": mistral_chat,
     "mistral_with_memory.py": mistral_with_memory,
     "openai_async_chat.py": openai_async_chat,