json api

.gitignore

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+.idea/
+flagged/
+node_modules/
+venv/
+myenv/

PYTHON_SETUP.md

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+
+## Installation (WSL2)
+
+
+```bash
+/usr/bin/python3.11 --version
+Python 3.11.9
+# cd grBird
+/usr/bin/python3.11 -m venv ./venv
+. ./venv/bin/activate
+# verify version
+python --version
+## expect Python 3.11.9
+python -m pip install --upgrade pip
+pip install -r ./requirements.txt
+```

app.py

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+# https://www.gradio.app/guides/sharing-your-app#mounting-within-another-fast-api-app
+import logging
+import json
+import gradio as gr
+
+log_format = "[%(asctime)s] [%(levelname)s] [%(name)s] %(message)s"
+logging.basicConfig(level=logging.INFO, format=log_format)
+logger = logging.getLogger()
+
+
+def api_classification(url):
+    logger.info(f'api_classification({url})')
+    data = {"status":"WorkInProgress"}
+    return json.dumps(data)
+
+
+with gr.Blocks() as app:
+    with gr.Tab("BioCLIP API"):
+        with gr.Row():
+            with gr.Column():
+                api_input = gr.Textbox(
+                    placeholder="Image url here",
+                    lines=1,
+                    label="Image url",
+                    show_label=True,
+                    info="Add image url here.",
+                )
+                api_classification_btn = gr.Button("API", variant="primary")
+            with gr.Column():
+                api_classification_output = gr.JSON()  # https://www.gradio.app/docs/gradio/json
+
+
+    api_classification_btn.click(
+        fn=api_classification,
+        inputs=[api_input],
+        outputs=[api_classification_output],
+    )
+app.queue(max_size=20)
+app.launch()

requirements.txt

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+huggingface_hub==0.22.2
+gradio