Feature upload a whole folder

.gitignore

@@ -0,0 +1 @@
+test_images/*

.gradio/certificate.pem

@@ -0,0 +1,31 @@
+-----BEGIN CERTIFICATE-----
+MIIFazCCA1OgAwIBAgIRAIIQz7DSQONZRGPgu2OCiwAwDQYJKoZIhvcNAQELBQAw
+TzELMAkGA1UEBhMCVVMxKTAnBgNVBAoTIEludGVybmV0IFNlY3VyaXR5IFJlc2Vh
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+MTCCAiIwDQYJKoZIhvcNAQEBBQADggIPADCCAgoCggIBAK3oJHP0FDfzm54rVygc
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+T8KOEUt+zwvo/7V3LvSye0rgTBIlDHCNAymg4VMk7BPZ7hm/ELNKjD+Jo2FR3qyH
+B5T0Y3HsLuJvW5iB4YlcNHlsdu87kGJ55tukmi8mxdAQ4Q7e2RCOFvu396j3x+UC
+B5iPNgiV5+I3lg02dZ77DnKxHZu8A/lJBdiB3QW0KtZB6awBdpUKD9jf1b0SHzUv
+KBds0pjBqAlkd25HN7rOrFleaJ1/ctaJxQZBKT5ZPt0m9STJEadao0xAH0ahmbWn
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+qHyGO0aoSCqI3Haadr8faqU9GY/rOPNk3sgrDQoo//fb4hVC1CLQJ13hef4Y53CI
+rU7m2Ys6xt0nUW7/vGT1M0NPAgMBAAGjQjBAMA4GA1UdDwEB/wQEAwIBBjAPBgNV
+HRMBAf8EBTADAQH/MB0GA1UdDgQWBBR5tFnme7bl5AFzgAiIyBpY9umbbjANBgkq
+hkiG9w0BAQsFAAOCAgEAVR9YqbyyqFDQDLHYGmkgJykIrGF1XIpu+ILlaS/V9lZL
+ubhzEFnTIZd+50xx+7LSYK05qAvqFyFWhfFQDlnrzuBZ6brJFe+GnY+EgPbk6ZGQ
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+oyi3B43njTOQ5yOf+1CceWxG1bQVs5ZufpsMljq4Ui0/1lvh+wjChP4kqKOJ2qxq
+4RgqsahDYVvTH9w7jXbyLeiNdd8XM2w9U/t7y0Ff/9yi0GE44Za4rF2LN9d11TPA
+mRGunUHBcnWEvgJBQl9nJEiU0Zsnvgc/ubhPgXRR4Xq37Z0j4r7g1SgEEzwxA57d
+emyPxgcYxn/eR44/KJ4EBs+lVDR3veyJm+kXQ99b21/+jh5Xos1AnX5iItreGCc=
+-----END CERTIFICATE-----

.gradio/flagged/dataset1.csv

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+_image,output,timestamp
+.gradio/flagged/_image/5ee8eb9e218fa514c209/rat_example.png,,2025-01-27 12:16:23.332618

app.py

@@ -1,30 +1,92 @@
 import gradio as gr
+import numpy as np
+import pandas as pd
+import os
+from tkinter import Tk, filedialog
 
 
-# def greet(name):
-#     return "Hello " + name + "!"
+def on_browse(data_type):
+    root = Tk()
+    root.attributes("-topmost", True)
+    root.withdraw()
+    if data_type == "Files":
+        filenames = filedialog.askopenfilenames()
+        if len(filenames) > 0:
+            root.destroy()
+            return str(filenames)
+        else:
+            filename = "Files not seleceted"
+            root.destroy()
+            return str(filename)
 
+    elif data_type == "Folder":
+        filename = filedialog.askdirectory()
+        if filename:
+            if os.path.isdir(filename):
+                root.destroy()
+                return str(filename)
+            else:
+                root.destroy()
+                return str(filename)
+        else:
+            filename = "Folder not seleceted"
+            root.destroy()
+            return str(filename)
 
-def image_classifier():
-    """
-    arr = np.expand_dims(im, axis=0)
-    arr = tf.keras.applications.mobilenet.preprocess_input(arr)
-    prediction = mobile_net.predict(arr).flatten()
-    return {labels[i]: float(prediction[i]) for i in range(1000)}
-    """
-    pass
 
+def main():
+    with gr.Blocks() as demo:
+        data_type = gr.Radio(
+            choices=["Files", "Folder"], value="Files", label="Offline data type"
+        )
+        input_path = gr.Textbox(
+            label="Select Multiple videos", scale=5, interactive=False
+        )
+        image_browse_btn = gr.Button("Browse", min_width=1)
+        image_browse_btn.click(
+            on_browse, inputs=data_type, outputs=input_path, show_progress="hidden"
+        )
+    return demo
 
-def test():
-    a = 2
-    pass
 
+demo = main()
+demo.launch(inbrowser=True)
 
-iface = gr.Interface
-(image_classifier, gr.Image(), "image")
 
+'''
+def get_image_name(_image):
+    if _image.any():
+        # print(type(_image))
+        output_info = f"""
+        Image shape: 
+        {_image.shape}
+        """
+        return output_info
+    else:
+        return "No file uploaded"
 
+
+def list_images(dir):
+    return [d.name for d in dir]
+
+
+with gr.Blocks() as interface:
+    gr.Markdown("Import your image and then click the button to see the output.")
+    with gr.Row():
+        input_img = gr.Image(label="Input Image", height=500, width=500)
+        # output_img = gr.Image(label="Recognized Image")
+        # display_df = gr.DataFrame(export_results)
+        output_info = gr.Textbox()
+        # export_info = gr.Textbox()
+    labelling_btn = gr.Button("Apply Species Recognition")
+    # export_btn = gr.Button("Export result as a CSV")
+    labelling_btn.click(fn=get_image_name, inputs=input_img, outputs=[output_info])
+    # export_btn.click(fn=export_results, inputs=input_img, outputs=[export_info])
+
+    with gr.Row():
+        gr.Dataframe(pd.DataFrame({"col1": [1, 2], "col2": [3, 4]}))
+
+# Launch the app
 if __name__ == "__main__":
-    iface.launch(share=True)
-    # demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-    # demo.launch(share=True)
+    interface.launch()
+'''

requirement.txt

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+aiofiles==23.2.1
+annotated-types==0.7.0
+anyio==4.8.0
+audioop-lts==0.2.1
+certifi==2024.12.14
+charset-normalizer==3.4.1
+click==8.1.8
+fastapi==0.115.7
+ffmpy==0.5.0
+filelock==3.17.0
+fsspec==2024.12.0
+gradio==5.13.1
+gradio_client==1.6.0
+h11==0.14.0
+httpcore==1.0.7
+httpx==0.28.1
+huggingface-hub==0.27.1
+idna==3.10
+Jinja2==3.1.5
+markdown-it-py==3.0.0
+MarkupSafe==2.1.5
+mdurl==0.1.2
+numpy==2.2.2
+orjson==3.10.15
+packaging==24.2
+pandas==2.2.3
+pillow==11.1.0
+pydantic==2.10.6
+pydantic_core==2.27.2
+pydub==0.25.1
+Pygments==2.19.1
+python-dateutil==2.9.0.post0
+python-multipart==0.0.20
+pytz==2024.2
+PyYAML==6.0.2
+requests==2.32.3
+rich==13.9.4
+ruff==0.9.3
+safehttpx==0.1.6
+semantic-version==2.10.0
+setuptools==75.1.0
+shellingham==1.5.4
+six==1.17.0
+sniffio==1.3.1
+starlette==0.45.3
+tomlkit==0.13.2
+tqdm==4.67.1
+typer==0.15.1
+typing_extensions==4.12.2
+tzdata==2025.1
+urllib3==2.3.0
+uvicorn==0.34.0
+websockets==14.2
+wheel==0.44.0