ai: Allow Deep Search via API.

API.md

@@ -1,78 +1,44 @@
 #### INSTALLATIONS
 ```bash
 # Linux/Android (Termux)/MacOS/Windows.
-# Make sure you have "python3" and "pip" installed.
+# Make sure you have "wget", "python3" and "pip" installed.
 # This package have very small size.
-pip install gradio_client rich --upgrade
 
-# If you are using Python 3.12 or newer.
-pip install gradio_client rich --upgrade --ignore-installed --break-system-packages
+pip install gradio_client rich --upgrade
 ```
 
-#### CREATE JARVIS FILE
+#### DOWNLOAD JARVIS SCRIPT
 ```bash
-# I'm using nano editor.
-# You can use any file editor you want.
-nano jarvis # or whatever you want.
-```
-
-### JARVIS MAIN SCRIPT
-```python
-#!/usr/bin/env python3
-import sys
-from gradio_client import Client
-from rich.console import Console
-from rich.markdown import Markdown
-console = Console()
-jarvis = Client("hadadrjt/ai")
-input = " ".join(sys.argv[1:]) if len(sys.argv) > 1 else "Hi!"
-result = jarvis.predict(multi={"text": input}, api_name="/api")
-responses = result[0][0][1]
-markdown = Markdown(responses)
-console.print(markdown)
-```
+# Terminal script.
+wget https://huggingface.co/spaces/hadadrjt/ai/raw/main/ai
 
-### JARVIS MULTI PLATFORM SCRIPT
-```python
-#!/usr/bin/env python3
-import sys
-from gradio_client import Client
-from rich.console import Console
-from rich.markdown import Markdown
-console = Console()
-jarvis = Client("hadadrjt/ai")
-model = "JARVIS: 2.1.2" # default to JARVIS, you can change the model here.
-jarvis.predict(new=model, api_name="/change_model")
-input_text = " ".join(sys.argv[1:]) if len(sys.argv) > 1 else "Hi!"
-result = jarvis.predict(multi={"text": input_text}, api_name="/api")
-response_text = result[0][0][1]
-console.print(Markdown(response_text))
+# Set permission.
+chmod a+x ai
 ```
 
-### SET PERMISSION
+### RUN JARVIS IN YOUR TERMINAL
 ```bash
-# Set permission (Linux/Android [Termux]/MacOS).
-# Windows users set permissions to 755 according with linux.
-chmod a+x jarvis
-```
+# Example normal usage.
+./ai "Your message here."
 
-### RUN JARVIS
-```bash
-./jarvis "Your message here."
-# According the name file you create.
+# Example with Deep Search.
+./ai -d "Your message here."
 ```
 
 #### LINUX USER's
 ```bash
 # Bonus for more flexible.
-sudo mv jarvis /bin/ai
+sudo mv ai /bin/
 
 # Now you can run with simple command.
 ai "Your message here."
 ```
 
-### AVAILABLE MODELS
+### MULTI PLATFORM
 ```
+Edit JARVIS terminal script, and find this code:
+model = "JARVIS: 2.1.2"
+
 Choose one of the model name for the JARVIS multi platform.
 
 1. JARVIS: 2.1.2
@@ -93,4 +59,9 @@ Choose one of the model name for the JARVIS multi platform.
 16. Qwen: Qwen2.5 VL 32B Instruct
 17. Qwen: Qwen2.5 VL 72B Instruct
 18. Agentica: Deepcoder 14B Preview
+
+Example:
+model = "DeepSeek: V3-0324"
+
+Please note that the Deep Search feature is only available for JARVIS: 2.1.2.
 ```

README.md

@@ -3,7 +3,7 @@ title: JARVIS AI
 colorFrom: yellow
 colorTo: purple
 sdk: gradio
-sdk_version: 5.25.2
+sdk_version: 5.27.0
 app_file: jarvis.py
 pinned: true
 short_description: Inspired by Iron Man movies.

ai

@@ -0,0 +1,42 @@
+#!/usr/bin/env python3
+#
+# SPDX-FileCopyrightText: Hadad <[email protected]>
+# SPDX-License-Identifier: Apache-2.0
+#
+import sys
+
+from gradio_client import Client
+from rich.console import Console
+from rich.markdown import Markdown
+from rich.panel import Panel
+
+console = Console()
+jarvis = Client("hadadrjt/ai")
+
+model = "JARVIS: 2.1.2" # You can change the models here.
+
+args = sys.argv[1:]
+deep_search = False
+if "-d" in args:
+    deep_search = True
+    args.remove("-d")
+input_text = " ".join(args) if args else "Hi!"
+jarvis.predict(new=model, api_name="/change_model")
+if deep_search and model != "JARVIS: 2.1.2": # DO NOT CHANGE THIS!
+    console.print("")
+    console.print("------------------------------------------------------")
+    console.print("[bold red]Deep Search is only available for model JARVIS: 2.1.2.[/bold red]")
+    console.print("------------------------------------------------------")
+    console.print("")
+    deep_search = False
+if deep_search:
+    result = jarvis.predict(
+        multi={"text": input_text},
+        deep_search=True,
+        api_name="/respond_async")
+else:
+    result = jarvis.predict(
+        multi={"text": input_text},
+        api_name="/api")
+response_text = result[0][0][1]
+console.print(Markdown(response_text))