Delete app.py

app.py

@@ -1,182 +0,0 @@
-import gradio as gr
-import os
-import requests
-
-from PIL import Image
-
-def face_compare(frame1, frame2):
-    url = "https://face.miniai.live/api/face_match"
-    files = {'image1': open(frame1, 'rb'), 'image2': open(frame2, 'rb')}
-    r = requests.post(url=url, files=files)
-    response = r.json()
-
-    detections = response.get("detections", [])
-    matches = response.get("match", [])
-    detection_rows = ""
-    match_rows = ""
-
-    # Process detections
-    for detection in detections:
-        face_image = detection.get("face", "")
-        face_img_tag = f"<img src='data:image/png;base64,{face_image}' width='100' />" if face_image else "N/A"
-        first_face_index = detection.get("firstFaceIndex", "N/A")
-        second_face_index = detection.get("secondFaceIndex", "N/A")
-
-        detection_rows += f"""
-        <tr>
-            <td>{first_face_index}</td>
-            <td>{second_face_index}</td>
-            <td>{face_img_tag}</td>
-        </tr>
-        """
-
-    # Process matches
-    for match in matches:
-        first_face_index = match.get("firstFaceIndex", "N/A")
-        second_face_index = match.get("secondFaceIndex", "N/A")
-        similarity = match.get("similarity", "N/A")
-
-        match_rows += f"""
-        <tr>
-            <td>{first_face_index}</td>
-            <td>{second_face_index}</td>
-            <td>{similarity:.6f}</td>
-        </tr>
-        """
-
-    # Create HTML tables
-    detections_table = f"""
-    <h3>Face Detection</h3>
-    <table border="1" style="border-collapse: collapse; width: 100%;">
-        <tr>
-            <th>First Face Index</th>
-            <th>Second Face Index</th>
-            <th>Face Image</th>
-        </tr>
-        {detection_rows}
-    </table>
-    """
-
-    matches_table = f"""
-    <h3>Matching Results</h3>
-    <table border="1" style="border-collapse: collapse; width: 100%;">
-        <tr>
-            <th>First Face Index</th>
-            <th>Second Face Index</th>
-            <th>Similarity</th>
-        </tr>
-        {match_rows}
-    </table>
-    """
-
-    return detections_table + matches_table
-
-def check_liveness(frame):
-    url = "https://facelive.miniai.live/api/check_liveness"
-    files = {'image': open(frame, 'rb')}
-    r = requests.post(url=url, files=files)
-
-    html = None
-    table_value = ""
-
-    for key, value in r.json().items():
-        row_value = ("<tr>"
-                        "<td>{key}</td>"
-                        "<td>{value}</td>"
-                    "</tr>".format(key=key, value=value))
-        table_value = table_value + row_value
-
-    html = ("<table>"
-                "<tr>"
-                    "<th style=""width:30%"">Field</th>"
-                    "<th style=""width:50%"">Value</th>"
-                "</tr>"
-                "{table_value}"
-                "</table>".format(table_value=table_value))
-    
-    return html
-
-# APP Interface
-with gr.Blocks() as MiniAIdemo:
-    gr.Markdown(
-        """
-        <a href="https://miniai.live" style="display: flex; align-items: center;">
-            <img src="https://miniai.live/wp-content/uploads/2024/02/logo_name-1-768x426-1.png" style="width: 18%; margin-right: 15px;"/>
-            <div>
-                <p style="font-size: 40px; font-weight: bold; margin-right: 20px;">FaceRecognition-LivenessDetection SDK Demo</p>
-                <p style="font-size: 20px; margin-right: 0;">Experience our NIST FRVT Top Ranked FaceRecognition, iBeta 2 Certified Face Liveness Detection Engine</p>
-            </div>
-        </a>
-        <br/>
-        <div style="display: flex; justify-content: center; align-items: center;"> 
-           <table style="text-align: center;">
-              <tr>
-                 <td style="text-align: center; vertical-align: middle;"><a href="https://github.com/MiniAiLive"><img src="https://miniai.live/wp-content/uploads/2024/10/new_git-1-300x67.png" style="height: 50px; margin-right: 5px;" title="GITHUB"/></a></td> 
-                 <td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/MiniAiLive"><img src="https://miniai.live/wp-content/uploads/2024/10/new_hugging-1-300x67.png" style="height: 50px; margin-right: 5px;" title="HuggingFace"/></a></td> 
-                 <td style="text-align: center; vertical-align: middle;"><a href="https://demo.miniai.live"><img src="https://miniai.live/wp-content/uploads/2024/10/new_gradio-300x67.png" style="height: 50px; margin-right: 5px;" title="Gradio"/></a></td> 
-              </tr> 
-              <tr>
-                 <td style="text-align: center; vertical-align: middle;"><a href="https://docs.miniai.live/"><img src="https://miniai.live/wp-content/uploads/2024/10/a-300x70.png" style="height: 50px; margin-right: 5px;" title="Documentation"/></a></td> 
-                 <td style="text-align: center; vertical-align: middle;"><a href="https://www.youtube.com/@miniailive"><img src="https://miniai.live/wp-content/uploads/2024/10/Untitled-1-300x70.png" style="height: 50px; margin-right: 5px;" title="Youtube"/></a></td> 
-                 <td style="text-align: center; vertical-align: middle;"><a href="https://play.google.com/store/apps/dev?id=5831076207730531667"><img src="https://miniai.live/wp-content/uploads/2024/10/googleplay-300x62.png" style="height: 50px; margin-right: 5px;" title="Google Play"/></a></td>
-              </tr>
-           </table>
-        </div>
-        <br/>
-        """
-    )
-    with gr.Tabs():
-        with gr.Tab("Face Recognition"):
-            with gr.Row():
-                with gr.Column():
-                    im_match_in1 = gr.Image(type='filepath', height=300)
-                    gr.Examples(
-                        [
-                            "images/compare/demo-pic22.jpg",
-                            "images/compare/demo-pic60.jpg",
-                            "images/compare/demo-pic35.jpg",
-                            "images/compare/demo-pic33.jpg",
-                            "images/compare/demo-pic34.jpg",
-                        ],
-                        inputs=im_match_in1
-                    )
-                with gr.Column():
-                    im_match_in2 = gr.Image(type='filepath', height=300)
-                    gr.Examples(
-                        [
-                            "images/compare/demo-pic41.jpg",
-                            "images/compare/demo-pic32.jpg",
-                            "images/compare/demo-pic39.jpg",
-                            "images/compare/demo-pic61.jpg",
-                            "images/compare/demo-pic40.jpg",
-                        ],
-                        inputs=im_match_in2
-                    )
-                with gr.Column():
-                    txt_compare_out = gr.HTML()
-            btn_f_match = gr.Button("Check Comparing!", variant='primary')
-            btn_f_match.click(face_compare, inputs=[im_match_in1, im_match_in2], outputs=txt_compare_out)
-        with gr.Tab("Face Liveness Detection"):
-            with gr.Row():
-                with gr.Column():
-                    im_liveness_in = gr.Image(type='filepath', height=300)
-                    gr.Examples(
-                        [
-                            "images/liveness/f_real_andr.jpg",
-                            "images/liveness/f_fake_andr_mask3d.jpg",
-                            "images/liveness/f_fake_andr_monitor.jpg",
-                            "images/liveness/f_fake_andr_outline.jpg",
-                            "images/liveness/f_fake_andr_outline3d.jpg",
-                            "images/liveness/1.jpg",
-                            "images/liveness/3.png",
-                            "images/liveness/4.jpg",
-                        ],
-                        inputs=im_liveness_in
-                    )
-                    btn_f_liveness = gr.Button("Check Liveness!", variant='primary')
-                with gr.Column():
-                    livness_result_output = gr.HTML()
-            btn_f_liveness.click(check_liveness, inputs=im_liveness_in, outputs=livness_result_output)
-    gr.HTML('<a href="https://visitorbadge.io/status?path=https%3A%2F%2Fhuggingface.co%2Fspaces%2FMiniAiLive%2FFaceRecognition-LivenessDetection-Demo"><img src="https://api.visitorbadge.io/api/combined?path=https%3A%2F%2Fhuggingface.co%2Fspaces%2FMiniAiLive%2FFaceRecognition-LivenessDetection-Demo&label=VISITORS&labelColor=%2337d67a&countColor=%23ff8a65&style=plastic&labelStyle=none" /></a>')
-if __name__ == "__main__":
-    MiniAIdemo.launch()