Update app.py

app.py

@@ -9,12 +9,53 @@ from google.generativeai import types  # Add this import
 COURSE_PDF_URL = "https://huggingface.co/spaces/JeCabrera/copywriter2a/resolve/main/Oferta%20CopyXpert.pdf"
 
 # Simplify PDF content retrieval
+import os
+import gradio as gr
+import google.generativeai as genai
+from dotenv import load_dotenv
+import httpx
+from google.generativeai import types
+
+load_dotenv()
+genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
+
+# Create a client instance
+client = genai.Client()
+
+def verify_pdf_upload(pdf_content):
+    try:
+        # Create a temporary file to store the PDF content
+        temp_file = "temp_course.pdf"
+        with open(temp_file, "wb") as f:
+            f.write(pdf_content)
+        
+        # Upload and verify the file
+        file = client.files.upload(temp_file)
+        file_info = client.files.get(file.name)
+        
+        print("PDF Verification Status:")
+        print(f"File Name: {file_info.name}")
+        print(f"File Type: {file_info.mime_type}")
+        print(f"File Size: {file_info.size} bytes")
+        
+        # Clean up temporary file
+        os.remove(temp_file)
+        return True
+    except Exception as e:
+        print(f"Verification Error: {e}")
+        return False
+
 def get_pdf_content():
     try:
         response = httpx.get(COURSE_PDF_URL)
         if response.status_code == 200:
-            print(f"PDF Download Status: Success")
-            return response.content
+            content = response.content
+            if verify_pdf_upload(content):
+                print("PDF successfully verified")
+                return content
+            else:
+                print("PDF verification failed")
+                return None
     except Exception as e:
         print(f"Error loading PDF: {e}")
         return None