Create app.py

app.py

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+import streamlit as st
+import os
+from google import genai
+from google.genai import types
+from pydantic import BaseModel, Field
+from PIL import Image
+
+# 1. Define the Data Structure (The "Schema")
+# This tells the AI exactly which fields to find on the license.
+class ProviderLicense(BaseModel):
+    provider_name: str = Field(description="Full name of the healthcare provider")
+    license_number: str = Field(description="The professional license number")
+    state: str = Field(description="The state where the license was issued")
+    expiration_date: str = Field(description="Format: YYYY-MM-DD")
+    is_valid: bool = Field(description="True if the license is not expired based on today's date")
+
+# 2. Page Configuration
+st.set_page_config(page_title="AI Credentialing Assistant", layout="wide")
+st.title("🩺 Provider Credentialing AI")
+st.markdown("Automated Intelligent Document Processing for Medical Licenses.")
+
+# 3. Initialize Gemini Client
+# Uses the 'Secret' you saved in Hugging Face Settings
+api_key = os.environ.get("GEMINI_API_KEY")
+if not api_key:
+    st.error("API Key not found. Please add GEMINI_API_KEY to your Space Secrets.")
+    st.stop()
+
+client = genai.Client(api_key=api_key)
+
+# 4. Sidebar - File Upload
+st.sidebar.header("Document Upload")
+uploaded_file = st.sidebar.file_uploader("Upload a medical license (JPG/PNG)", type=["jpg", "jpeg", "png"])
+
+if uploaded_file:
+    # Create two columns for a professional dashboard look
+    col1, col2 = st.columns(2)
+    
+    image = Image.open(uploaded_file)
+    
+    with col1:
+        st.subheader("Document Preview")
+        st.image(image, use_container_width=True)
+
+    with col2:
+        st.subheader("Extracted Credentials")
+        
+        with st.spinner("AI is analyzing the document..."):
+            try:
+                # The AI Logic
+                response = client.models.generate_content(
+                    model="gemini-2.0-flash",
+                    contents=["Extract the credentialing details from this document.", image],
+                    config=types.GenerateContentConfig(
+                        response_mime_type="application/json",
+                        response_schema=ProviderLicense,
+                    ),
+                )
+                
+                # Retrieve the structured data
+                data = response.parsed
+                
+                # Display results in a clean format
+                st.success("Extraction Complete")
+                st.metric("Provider Name", data.provider_name)
+                st.write(f"**License Number:** {data.license_number}")
+                st.write(f"**State:** {data.state}")
+                st.write(f"**Expires:** {data.expiration_date}")
+
+                if data.is_valid:
+                    st.info("✅ Status: Valid/Active")
+                else:
+                    st.warning("⚠️ Status: Expired or Invalid")
+                    
+            except Exception as e:
+                st.error(f"An error occurred: {e}")
+else:
+    st.info("Please upload a document to begin the automated verification process.")