Update app.py

app.py

@@ -1,19 +1,162 @@
-
 from datasets import load_dataset
-
 #LOINC
 datasetLOINC = load_dataset("awacke1/LOINC-CodeSet-Value-Description.csv")
-
 #SNOMED:
 datasetSNOMED = load_dataset("awacke1/SNOMED-CT-Code-Value-Semantic-Set.csv")
-
 #eCQM:
 dataseteCQM = load_dataset("awacke1/eCQM-Code-Value-Semantic-Set.csv")
-
 print(datasetLOINC)
 print(datasetSNOMED)
 print(dataseteCQM)
 
+import os
+import json
+import numpy as np
+import gradio as gr
+
+CHOICES = ["foo", "bar", "baz"]
+JSONOBJ = """{"items":{"item":[{"id": "0001","type": null,"is_good": false,"ppu": 0.55,"batters":{"batter":[{ "id": "1001", "type": "Regular" },{ "id": "1002", "type": "Chocolate" },{ "id": "1003", "type": "Blueberry" },{ "id": "1004", "type": "Devil's Food" }]},"topping":[{ "id": "5001", "type": "None" },{ "id": "5002", "type": "Glazed" },{ "id": "5005", "type": "Sugar" },{ "id": "5007", "type": "Powdered Sugar" },{ "id": "5006", "type": "Chocolate with Sprinkles" },{ "id": "5003", "type": "Chocolate" },{ "id": "5004", "type": "Maple" }]}]}}"""
+
+
+def fn(
+    text1,
+    text2,
+    num,
+    slider1,
+    slider2,
+    single_checkbox,
+    checkboxes,
+    radio,
+    dropdown,
+    im1,
+    im2,
+    im3,
+    im4,
+    video,
+    audio1,
+    audio2,
+    file,
+    df1,
+    df2,
+):
+    return (
+        (text1 if single_checkbox else text2)
+        + ", selected:"
+        + ", ".join(checkboxes),  # Text
+        {
+            "positive": num / (num + slider1 + slider2),
+            "negative": slider1 / (num + slider1 + slider2),
+            "neutral": slider2 / (num + slider1 + slider2),
+        },  # Label
+        (audio1[0], np.flipud(audio1[1]))
+        if audio1 is not None  else os.path.join(os.path.dirname(__file__), "files/cantina.wav"),  # Audio
+        np.flipud(im1)
+        if im1 is not None  else os.path.join(os.path.dirname(__file__), "files/cheetah1.jpg"),  # Image
+        video
+        if video is not None  else os.path.join(os.path.dirname(__file__), "files/world.mp4"),  # Video
+        [
+            ("The", "art"),
+            ("quick brown", "adj"),
+            ("fox", "nn"),
+            ("jumped", "vrb"),
+            ("testing testing testing", None),
+            ("over", "prp"),
+            ("the", "art"),
+            ("testing", None),
+            ("lazy", "adj"),
+            ("dogs", "nn"),
+            (".", "punc"),
+        ]   + [(f"test {x}", f"test {x}") for x in range(10)],  # HighlightedText        
+        [
+            ("The testing testing testing", None),
+            ("over", 0.6),
+            ("the", 0.2),
+            ("testing", None),
+            ("lazy", -0.1),
+            ("dogs", 0.4),
+            (".", 0),
+        ]   + [(f"test", x / 10) for x in range(-10, 10)],  # HighlightedText
+        json.loads(JSONOBJ),  # JSON
+        "<button style='background-color: red'>Click Me: " + radio + "</button>",  # HTML
+        os.path.join(os.path.dirname(__file__), "files/titanic.csv"),
+        df1,  # Dataframe
+        np.random.randint(0, 10, (4, 4)),  # Dataframe
+        df2,  # Timeseries
+    )
+
+
+demo = gr.Interface(
+    fn,
+    inputs=[
+        gr.Textbox(value="Lorem ipsum", label="Textbox"),
+        gr.Textbox(lines=3, placeholder="Type here..", label="Textbox 2"),
+        gr.Number(label="Number", value=42),
+        gr.Slider(10, 20, value=15, label="Slider: 10 - 20"),
+        gr.Slider(maximum=20, step=0.04, label="Slider: step @ 0.04"),
+        gr.Checkbox(label="Checkbox"),
+        gr.CheckboxGroup(label="CheckboxGroup", choices=CHOICES, value=CHOICES[0:2]),
+        gr.Radio(label="Radio", choices=CHOICES, value=CHOICES[2]),
+        gr.Dropdown(label="Dropdown", choices=CHOICES),
+        gr.Image(label="Image"),
+        gr.Image(label="Image w/ Cropper", tool="select"),
+        gr.Image(label="Sketchpad", source="canvas"),
+        gr.Image(label="Webcam", source="webcam"),
+        gr.Video(label="Video"),
+        gr.Audio(label="Audio"),
+        gr.Audio(label="Microphone", source="microphone"),
+        gr.File(label="File"),
+        gr.Dataframe(label="Dataframe", headers=["Name", "Age", "Gender"]),
+        gr.Timeseries(x="time", y=["price", "value"], colors=["pink", "purple"]),
+    ],
+    outputs=[
+        gr.Textbox(label="Textbox"),
+        gr.Label(label="Label"),
+        gr.Audio(label="Audio"),
+        gr.Image(label="Image"),
+        gr.Video(label="Video"),
+        gr.HighlightedText(label="HighlightedText", color_map={"punc": "pink", "test 0": "blue"}),
+        gr.HighlightedText(label="HighlightedText", show_legend=True),
+        gr.JSON(label="JSON"),
+        gr.HTML(label="HTML"),
+        gr.File(label="File"),
+        gr.Dataframe(label="Dataframe"),
+        gr.Dataframe(label="Numpy"),
+        gr.Timeseries(x="time", y=["price", "value"], label="Timeseries"),
+    ],
+    examples=[
+        [
+            "the quick brown fox",
+            "jumps over the lazy dog",
+            10,
+            12,
+            4,
+            True,
+            ["foo", "baz"],
+            "baz",
+            "bar",
+            os.path.join(os.path.dirname(__file__), "files/cheetah1.jpg"),
+            os.path.join(os.path.dirname(__file__), "files/cheetah1.jpg"),
+            os.path.join(os.path.dirname(__file__), "files/cheetah1.jpg"),
+            os.path.join(os.path.dirname(__file__), "files/cheetah1.jpg"),
+            os.path.join(os.path.dirname(__file__), "files/world.mp4"),
+            os.path.join(os.path.dirname(__file__), "files/cantina.wav"),
+            os.path.join(os.path.dirname(__file__), "files/cantina.wav"),
+            os.path.join(os.path.dirname(__file__), "files/titanic.csv"),
+            [[1, 2, 3], [3, 4, 5]],
+            os.path.join(os.path.dirname(__file__), "files/time.csv"),
+        ]
+    ]
+    * 3,
+    theme="default",
+    title="Gradio AI UI UX",
+    cache_examples=False,
+    description="Try out all the components!",
+    article="Learn more about [Gradio](http://gradio.app)",
+)
+
+if __name__ == "__main__":
+    demo.launch()
+
 
 #-or-
 #git lfs install