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app.py

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+import gradio as gr
+import requests
+import numpy as np
+from PIL import Image
+import io
+
+# Function to call the Hugging Face model
+def call_model(image):
+    # TODO: Replace with your actual Hugging Face model endpoint
+    API_URL = "YOUR_HUGGINGFACE_MODEL_ENDPOINT"
+    headers = {"Authorization": "Bearer YOUR_API_TOKEN"}
+    
+    # Convert image to bytes
+    img_byte_arr = io.BytesIO()
+    image.save(img_byte_arr, format='PNG')
+    img_byte_arr = img_byte_arr.getvalue()
+    
+    # Make API call
+    response = requests.post(API_URL, headers=headers, data=img_byte_arr)
+    
+    # Process response and modify image
+    # TODO: Implement your image modification logic based on model results
+    # This is a placeholder that just returns the original image
+    return image
+
+# Function to process the captured image
+def process_image(image):
+    if image is None:
+        return None
+    
+    # Convert to PIL Image if it's not already
+    if not isinstance(image, Image.Image):
+        image = Image.fromarray(image)
+    
+    # Call the model and get modified image
+    modified_image = call_model(image)
+    
+    return modified_image
+
+# Create the Gradio interface
+with gr.Blocks() as demo:
+    # Title and main description
+    gr.Markdown("# Target Analyzer")
+    gr.Markdown("### Instructions:")
+    gr.Markdown("""
+    1. Click the '📸 Take Photo' button in the camera view to capture an image
+    2. Click 'Analyze' to process the image
+    3. View the results in the 'Analyzed Image' section
+    4. Use 'Reset' to start over
+    """)
+    
+    with gr.Row():
+        # Left column for camera and controls
+        with gr.Column(scale=1):
+            gr.Markdown("### Step 1: Take a Picture")
+            camera = gr.Image(type="pil", label="Camera View", sources=["webcam"])
+            gr.Markdown("Click the '📸 Take Photo' button in the camera view above")
+            
+            with gr.Row():
+                analyze_btn = gr.Button("🔍 Analyze", variant="primary")
+                new_picture_btn = gr.Button("🔄 Reset")
+        
+        # Right column for results
+        with gr.Column(scale=1):
+            gr.Markdown("### Step 2: View Results")
+            modified_image = gr.Image(label="Analyzed Image")
+    
+    # Set up the event handlers
+    analyze_btn.click(
+        fn=process_image,
+        inputs=[camera],
+        outputs=[modified_image]
+    )
+    
+    new_picture_btn.click(
+        fn=lambda: (None, None),
+        inputs=[],
+        outputs=[camera, modified_image]
+    )
+
+# Launch the interface
+if __name__ == "__main__":
+    demo.launch() 

requirements.txt

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+gradio>=4.0.0
+Pillow>=10.0.0
+requests>=2.31.0
+numpy>=1.24.0