Update app.py

app.py

@@ -1550,14 +1550,14 @@ class RealEstateModelPipeline:
 
 if __name__ == "__main__":
     
-    def process_pdfs(pdf_files, api_key):
+    # Hardcoded API Key
+    GEMINI_API_KEY = "AIzaSyCy6GoBR724Hj9VyuW3hKM4N0P6liBOlDo"
+    
+    def process_pdfs(pdf_files):
         """Process uploaded PDFs and return Excel file"""
         if not pdf_files:
             return None, "Please upload at least one PDF file"
         
-        if not api_key or api_key.strip() == "":
-            return None, "Please enter your Gemini API key"
-        
         try:
             # Create temporary directory for PDFs
             temp_dir = tempfile.mkdtemp()
@@ -1566,8 +1566,8 @@ if __name__ == "__main__":
             for pdf_file in pdf_files:
                 shutil.copy(pdf_file.name, temp_dir)
             
-            # Initialize pipeline with provided API key
-            pipeline = RealEstateModelPipeline(api_key.strip())
+            # Initialize pipeline with hardcoded API key
+            pipeline = RealEstateModelPipeline(GEMINI_API_KEY)
             
             # Create output file in temp directory
             output_file = Path(temp_dir) / "Real_Estate_Financial_Model.xlsx"
@@ -1605,13 +1605,6 @@ if __name__ == "__main__":
         
         with gr.Row():
             with gr.Column(scale=2):
-                api_key_input = gr.Textbox(
-                    label="Gemini API Key",
-                    placeholder="Enter your Gemini API key (AIza...)",
-                    type="password",
-                    info="Get your API key from Google AI Studio"
-                )
-                
                 pdf_input = gr.File(
                     label="Upload PDF Files",
                     file_count="multiple",
@@ -1652,7 +1645,7 @@ if __name__ == "__main__":
         
         process_btn.click(
             fn=process_pdfs,
-            inputs=[pdf_input, api_key_input],
+            inputs=[pdf_input],
             outputs=[excel_output, output_text]
         )