ai: Expose welcome messages.

jarvis.py

@@ -27,6 +27,8 @@ from openpyxl import load_workbook
 
 os.system("apt-get update -q -y && apt-get install -q -y tesseract-ocr tesseract-ocr-eng tesseract-ocr-ind libleptonica-dev libtesseract-dev")
 
+JARVIS_INIT = json.loads(os.getenv("HELLO", "[]"))
+
 INTERNAL_AI_GET_SERVER = os.getenv("INTERNAL_AI_GET_SERVER")
 INTERNAL_TRAINING_DATA = os.getenv("INTERNAL_TRAINING_DATA")
 
@@ -364,11 +366,14 @@ with gr.Blocks(fill_height=True, fill_width=True, title=AI_TYPES["AI_TYPE_4"], h
     user_session = gr.State(create_session())
     selected_model = gr.State(MODEL_CHOICES[0] if MODEL_CHOICES else "")
     J_A_R_V_I_S = gr.State("")
-    chatbot = gr.Chatbot(label=AI_TYPES["AI_TYPE_1"], show_copy_button=True, scale=1, elem_id=AI_TYPES["AI_TYPE_2"])
+    chatbot = gr.Chatbot(label=AI_TYPES["AI_TYPE_1"], show_copy_button=True, scale=1, elem_id=AI_TYPES["AI_TYPE_2"], examples=JARVIS_INIT)
     msg = gr.MultimodalTextbox(show_label=False, placeholder=RESPONSES["RESPONSE_5"], interactive=True, file_count="single", file_types=ALLOWED_EXTENSIONS)
     with gr.Sidebar(open=False):
         model_radio = gr.Radio(show_label=False, choices=MODEL_CHOICES, value=MODEL_CHOICES[0])
     model_radio.change(fn=change_model, inputs=[model_radio], outputs=[user_history, user_session, selected_model, J_A_R_V_I_S])
+    def on_example_select(evt: gr.SelectData):
+        return evt.value
+    chatbot.example_select(fn=on_example_select, inputs=[], outputs=[msg]).then(fn=respond_async, inputs=[msg, user_history, selected_model, user_session, J_A_R_V_I_S], outputs=[chatbot, msg, user_session])
     msg.submit(fn=respond_async, inputs=[msg, user_history, selected_model, user_session, J_A_R_V_I_S], outputs=[chatbot, msg, user_session], api_name=INTERNAL_AI_GET_SERVER)
     msg.stop(fn=stop_response, inputs=[user_history, user_session], outputs=[chatbot, msg, user_session])
 jarvis.queue(default_concurrency_limit=2).launch(max_file_size="1mb")