multiple gradio examples script

app.ipynb

@@ -396,36 +396,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "! pip install nbconvert -U"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "usage: jupyter [-h] [--version] [--config-dir] [--data-dir] [--runtime-dir]\n",
-      "               [--paths] [--json] [--debug]\n",
-      "               [subcommand]\n",
-      "\n",
-      "Jupyter: Interactive Computing\n",
-      "\n",
-      "positional arguments:\n",
-      "  subcommand     the subcommand to launch\n",
-      "\n",
-      "options:\n",
-      "  -h, --help     show this help message and exit\n",
-      "  --version      show the versions of core jupyter packages and exit\n",
-      "  --config-dir   show Jupyter config dir\n",
-      "  --data-dir     show Jupyter data dir\n",
-      "  --runtime-dir  show Jupyter runtime dir\n",
-      "  --paths        show all Jupyter paths. Add --json for machine-readable\n",
-      "                 format.\n",
-      "  --json         output paths as machine-readable json\n",
-      "  --debug        output debug information about paths\n",
-      "\n",
-      "Available subcommands: kernel kernelspec migrate run troubleshoot\n",
-      "\n",
-      "Jupyter command `jupyter-nbconvert` not found.\n"
+      "[NbConvertApp] Converting notebook app.ipynb to script\n",
+      "[NbConvertApp] Writing 2888 bytes to app.py\n"
      ]
     }
    ],

app.py

@@ -1,7 +1,140 @@
+#!/usr/bin/env python
+# coding: utf-8
+
+# In[1]:
+
+
+get_ipython().run_line_magic('load_ext', 'gradio')
+
+
+# In[4]:
+
+
+get_ipython().run_cell_magic('blocks', '', '\nimport gradio as gr\n\ngr.Markdown("# Greetings from Gradio!")\ninp = gr.Textbox(placeholder="What is your name?")\nout = gr.Textbox()\n\ninp.change(fn=lambda x: f"Welcome, {x}!", \n           inputs=inp, \n           outputs=out)\n')
+
+
+# In[5]:
+
+
+get_ipython().run_cell_magic('blocks', '', 'def greet(name):\n    return "Hello " + name + "!"\n\ndemo = gr.Interface(fn=greet, inputs="text", outputs="text")\n    \ndemo.launch()  \n')
+
+
+# In[7]:
+
+
 import gradio as gr
 
 def greet(name):
-    return "Hello " + name + "!!"
+    return "Hello " + name + "!"
+
+demo = gr.Interface(
+    fn=greet,
+    inputs=gr.Textbox(lines=4, placeholder="Name Here..."),
+    outputs="text",
+)
+demo.launch()
+
+
+# In[15]:
+
+
+import gradio as gr
+
+def greet(yourname, is_morning, temperature):
+    salutation = "Good morning" if is_morning else "Good evening"
+    greeting = f"{salutation} {name}. It is {temperature} degrees Fahrenheit today."
+    celsius = (temperature - 32) * 5 / 9
+    return greeting, round(celsius, 2)
+
+demo = gr.Interface(
+    fn=greet,
+    inputs=["text", "checkbox", gr.Slider(-50, 100)],
+    outputs=["text", "number"],
+)
+demo.launch()
+
+
+# In[16]:
+
+
+import numpy as np
+import gradio as gr
+
+def sepia(input_img):
+    sepia_filter = np.array([
+        [0.393, 0.769, 0.189], 
+        [0.349, 0.686, 0.168], 
+        [0.272, 0.534, 0.131]
+    ])
+    sepia_img = input_img.dot(sepia_filter.T)
+    sepia_img /= sepia_img.max()
+    return sepia_img
+
+demo = gr.Interface(sepia, gr.Image(shape=(200, 200)), "image")
+demo.launch()
+
+
+# In[18]:
+
+
+import gradio as gr
+
+def greet(name):
+    return "Hello " + name + "!"
+
+with gr.Blocks() as demo:
+    name = gr.Textbox(label="Name")
+    output = gr.Textbox(label="Output Box")
+    greet_btn = gr.Button("Greet")
+    greet_btn.click(fn=greet, inputs=name, outputs=output, api_name="greet")
+
+demo.launch()
+
+
+# In[19]:
+
+
+import numpy as np
+import gradio as gr
+
+
+def flip_text(x):
+    return x[::-1]
+
+
+def flip_image(x):
+    return np.fliplr(x)
+
+
+with gr.Blocks() as demo:
+    gr.Markdown("Flip text or image files using this demo.")
+    with gr.Tab("Flip Text"):
+        text_input = gr.Textbox()
+        text_output = gr.Textbox()
+        text_button = gr.Button("Flip")
+    with gr.Tab("Flip Image"):
+        with gr.Row():
+            image_input = gr.Image()
+            image_output = gr.Image()
+        image_button = gr.Button("Flip")
+
+    with gr.Accordion("Open for More!"):
+        gr.Markdown("Look at me...")
+
+    text_button.click(flip_text, inputs=text_input, outputs=text_output)
+    image_button.click(flip_image, inputs=image_input, outputs=image_output)
+
+demo.launch()
+
+
+# In[26]:
+
+
+get_ipython().system(' pip install nbconvert -U')
+
+
+# In[27]:
+
+
+get_ipython().system('jupyter nbconvert --to script app.ipynb')
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()