Create app.py

app.py

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+import gradio as gr
+import google.generativeai as genai
+import base64
+import io
+from PIL import Image
+import os
+import json
+
+# Configure Google Cloud credentials (replace with your actual API key or setup)
+genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
+
+# Select the Gemini Pro Vision model
+model = genai.GenerativeModel('gemini-pro-vision')
+
+# Prompt definition
+prompt = """
+You are analyzing a medical document or an application form from patient.
+Extract the following fields as JSON:
+- Position applied for
+- Office/Ministry
+- Duty station
+- First name(s)
+- Surname
+- Date of birth
+- Gender
+- Citizenship
+- Postal Address
+- Residential Address
+- Email
+- Phone number (mobile)
+"""
+
+def process_image(image: Image.Image):
+    buffered = io.BytesIO()
+    image.save(buffered, format="JPEG")
+    base64_image = base64.b64encode(buffered.getvalue()).decode()
+
+    contents = [
+        genai.Part.from_text(prompt),
+        genai.Part.from_data(base64.b64decode(base64_image), mime_type="image/jpeg")
+    ]
+    response = model.generate_content(contents)
+    return response.text
+
+# Gradio interface
+demo = gr.Interface(
+    fn=process_image,
+    inputs=gr.Image(type="pil"),
+    outputs="textbox",
+    title="Healthelic Form Data Extractor (Doc Scaner)",
+    description="Upload a scanned medical form to extract key fields."
+)
+
+if __name__ == "__main__":
+    demo.launch()