Upload 4 files

app.py

@@ -0,0 +1,55 @@
+import requests
+import gradio as gr
+
+def analyze_images(image1, image2, api_key, org_id):
+    url = f"https://platform.bodygram.com/api/orgs/{org_id}/scans"
+
+    headers = {
+        "Authorization": api_key,
+    }
+
+    import base64
+
+    with open(image1, "rb") as img1_file:
+        image1_b64 = base64.b64encode(img1_file.read()).decode('utf-8')
+
+    with open(image2, "rb") as img2_file:
+        image2_b64 = base64.b64encode(img2_file.read()).decode('utf-8')
+
+    data = {
+        "customScanId": "myFirstScan",
+        "photoScan": {
+            "age": 29,
+            "weight": 54000,
+            "height": 1640,
+            "gender": "female",
+            "frontPhoto": image1_b64,
+            "rightPhoto": image2_b64,
+        },
+    }
+
+    response = requests.post(url, headers=headers, json=data).json()['entry']
+    print(response.keys())
+
+    if response['status'] == 'success':
+        return {key: value for key, value in response.items() if key != 'avatar'}
+    else:
+        return f"Request failed: {response['text']}"
+
+with gr.Blocks() as demo:
+    gr.Markdown("## 画像解析アプリ")
+    
+    with gr.Row():
+        image1 = gr.Image(type="filepath", label="前からの写真")
+        image2 = gr.Image(type="filepath", label="右側からの写真")
+    
+    api_key = gr.Textbox(label="APIキーを入力")
+    org_id = gr.Textbox(label="組織IDを入力")
+    
+    analyze_button = gr.Button("解析", variant='primary')
+    result = gr.TextArea(label="結果表示")
+    
+    analyze_button.click(analyze_images, inputs=[image1, image2, api_key, org_id], outputs=[result])
+
+if __name__ == '__main__':
+    demo.launch()

requirements.txt

@@ -0,0 +1 @@
+gradio