Create app.py

app.py

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+import base64
+import io
+import cv2
+import requests
+import json
+import gradio as gr
+
+# Define a function to call the API and get the results
+def get_results(imag):
+    threshold=0.5
+    # Convert the image to base64 string
+    with io.BytesIO() as output:
+        image.save(output, format="JPEG")
+        base64str = base64.b64encode(output.getvalue()).decode("utf-8")
+
+    # Prepare the payload
+    payload = json.dumps({"base64str": base64str, "threshold": threshold})
+
+    # Send the request to the API
+    response = requests.put("", data=payload)
+
+    # Parse the JSON response
+    data = response.json()
+
+    # Access the values
+    firstName = data['firstName']
+    secondName = data['secondName']
+    address1 = data['address1']
+    address2 = data['address2']
+    nationalIdNumber = data['nationalIdNumber']
+    timeOfResponse = data['timeOfResponse']
+    requestInfo = data['requestInfo']
+
+    # Return the values as a list
+    return [firstName, secondName, address1, address2, nationalIdNumber, timeOfResponse, requestInfo]
+
+# Define the input and output components for Gradio
+image_input = gr.inputs.Image()
+output_labels = ["First Name", "Second Name", "Address 1", "Address 2", "National ID Number", "Time of Response", "Request Info"]
+output_component = gr.outputs.Label(num_top_classes=len(output_labels), labels=output_labels)
+
+# Launch the Gradio interface
+gr.Interface(fn=get_results, inputs=image_input, outputs=output_component).launch()