ai: Allow interaction via APIs.

API.md

@@ -0,0 +1,41 @@
+#### Installation
+
+```
+pip show gradio_client > /dev/null 2>&1
+
+if [ $? -ne 0 ]; then
+    pip install gradio_client
+else
+    pip install gradio_client --upgrade
+fi
+```
+
+#### Script
+
+```
+nano jarvis.py
+```
+
+```
+#!/usr/bin/env python3
+from gradio_client import Client
+
+jarvis = Client("hadadrjt/ai")
+
+# Your message here.
+input = "Hi"
+
+result = jarvis.predict(
+    multi_input={"text": input}, 
+    api_name="/api"
+)
+responses = result[0][0][1]
+print(responses)
+```
+
+#### Run
+
+```
+chmod a+x jarvis.py
+./jarvis.py
+```

jarvis.py

@@ -39,6 +39,7 @@ from pptx import Presentation
 
 os.system("apt-get update -q -y && apt-get install -q -y tesseract-ocr tesseract-ocr-eng tesseract-ocr-ind libleptonica-dev libtesseract-dev")
 
+INTERNAL_AI_GET_SERVER = os.getenv("INTERNAL_AI_GET_SERVER")
 INTERNAL_TRAINING_DATA = os.getenv("INTERNAL_TRAINING_DATA")
 
 LINUX_SERVER_HOSTS = [host for host in json.loads(os.getenv("LINUX_SERVER_HOST", "[]")) if host]
@@ -234,5 +235,5 @@ with gr.Blocks(fill_height=True, fill_width=True, title=AI_TYPES["AI_TYPE_4"], h
     with gr.Row():
         msg = gr.MultimodalTextbox(show_label=False, placeholder=RESPONSES["RESPONSE_5"], interactive=True, file_count="single", file_types=ALLOWED_EXTENSIONS)
     #model_dropdown.change(fn=change_model, inputs=[model_dropdown], outputs=[user_history, user_session, selected_model])
-    msg.submit(fn=respond_async, inputs=[msg, user_history, selected_model, user_session], outputs=[chatbot, msg, user_session], concurrency_limit=None)
-jarvis.launch(show_api=False, max_file_size="1mb")
+    msg.submit(fn=respond_async, inputs=[msg, user_history, selected_model, user_session], outputs=[chatbot, msg, user_session], concurrency_limit=None, api_name=INTERNAL_AI_GET_SERVER)
+jarvis.launch(show_api=True, max_file_size="1mb")