Update app.py

app.py

@@ -812,9 +812,10 @@ def analyze_text(text: str, mode: str, classifier: TextClassifier) -> tuple:
 
 
 # Modified Gradio interface setup function to include file upload
-def setup_gradio_interface(classifier):
+Here's the modified code for the Gradio interface that adds a file upload button next to the analysis mode buttons, while maintaining the original interface:
+pythonCopydef setup_gradio_interface(classifier):
     """
-    Set up Gradio interface with text input and file upload options
+    Set up Gradio interface with text input and file upload button next to analysis mode
     
     Args:
         classifier: The TextClassifier instance
@@ -829,71 +830,73 @@ def setup_gradio_interface(classifier):
         return analyze_text(text, mode, classifier)
         
     def handle_file_upload_wrapper(file_obj, mode):
+        if file_obj is None:
+            return (
+                "No file uploaded",
+                "Please upload a file to analyze",
+                "No file uploaded for analysis"
+            )
         return handle_file_upload_and_analyze(file_obj, mode, classifier)
     
     with gr.Blocks(title="AI Text Detector") as demo:
-        gr.Markdown("# AI Text Detector with Document Upload")
-        gr.Markdown("Analyze text to detect if it was written by a human or AI. You can paste text directly or upload images, PDFs, or Word documents.")
-        
-        with gr.Tab("Text Input"):
-            text_input = gr.Textbox(
-                lines=8,
-                placeholder="Enter text to analyze...",
-                label="Input Text"
-            )
-            
-            mode_selection = gr.Radio(
-                choices=["quick", "detailed"],
-                value="quick",
-                label="Analysis Mode",
-                info="Quick mode for faster analysis, Detailed mode for sentence-level analysis"
-            )
-            
-            text_submit_button = gr.Button("Analyze Text")
-            
-            output_html = gr.HTML(label="Highlighted Analysis")
-            output_sentences = gr.Textbox(label="Sentence-by-Sentence Analysis", lines=10)
-            output_result = gr.Textbox(label="Overall Result", lines=4)
-            
-            text_submit_button.click(
-                analyze_text_wrapper,
-                inputs=[text_input, mode_selection],
-                outputs=[output_html, output_sentences, output_result]
-            )
+        gr.Markdown("# AI Text Detector")
+        gr.Markdown("Analyze text to detect if it was written by a human or AI. You can paste text directly or upload an image, PDF, or Word document.")
+        
+        # Text input
+        text_input = gr.Textbox(
+            lines=8,
+            placeholder="Enter text to analyze...",
+            label="Input Text"
+        )
         
-        with gr.Tab("File Upload"):
-            # FIXED: Changed type="file" to type="binary"
-            file_upload = gr.File(
-                label="Upload Document",
-                file_types=["image", "pdf", "doc", "docx"],
-                type="binary"
-            )
+        with gr.Row():
+            # Left side: Analysis mode radio buttons
+            with gr.Column(scale=1):
+                mode_selection = gr.Radio(
+                    choices=["quick", "detailed"],
+                    value="quick",
+                    label="Analysis Mode",
+                    info="Quick mode for faster analysis, Detailed mode for sentence-level analysis"
+                )
             
-            file_mode_selection = gr.Radio(
-                choices=["quick", "detailed"],
-                value="quick",
-                label="Analysis Mode",
-                info="Quick mode for faster analysis, Detailed mode for sentence-level analysis"
-            )
-            
-            upload_submit_button = gr.Button("Process and Analyze")
-            
-            file_output_html = gr.HTML(label="Highlighted Analysis")
-            file_output_sentences = gr.Textbox(label="Sentence-by-Sentence Analysis", lines=10)
-            file_output_result = gr.Textbox(label="Overall Result", lines=4)
-            
-            upload_submit_button.click(
-                handle_file_upload_wrapper,
-                inputs=[file_upload, file_mode_selection],
-                outputs=[file_output_html, file_output_sentences, file_output_result]
-            )
-            
-            gr.Markdown("""
-            ### File Upload Limitations
-            - Maximum file size: 1MB
-            - PDF files: Maximum 3 pages (OCR.space API limitation)
-            - Supported formats: Images (PNG, JPG, GIF), PDF, Word documents (DOCX, DOC)
-            """)
+            # Right side: File upload button
+            with gr.Column(scale=1):
+                file_upload = gr.File(
+                    label="Or upload a document",
+                    file_types=["image", "pdf", "doc", "docx"],
+                    type="binary"
+                )
+        
+        # Action buttons row
+        with gr.Row():
+            text_submit_button = gr.Button("Analyze Text", variant="primary")
+            upload_submit_button = gr.Button("Process Uploaded File", variant="primary")
+        
+        # Output areas
+        output_html = gr.HTML(label="Highlighted Analysis")
+        output_sentences = gr.Textbox(label="Sentence-by-Sentence Analysis", lines=10)
+        output_result = gr.Textbox(label="Overall Result", lines=4)
+        
+        # Connect buttons to functions
+        text_submit_button.click(
+            analyze_text_wrapper,
+            inputs=[text_input, mode_selection],
+            outputs=[output_html, output_sentences, output_result]
+        )
+        
+        upload_submit_button.click(
+            handle_file_upload_wrapper,
+            inputs=[file_upload, mode_selection],
+            outputs=[output_html, output_sentences, output_result]
+        )
+        
+        # Add file upload limitations info
+        gr.Markdown("""
+        ### File Upload Limitations
+        - Maximum file size: 1MB
+        - PDF files: Maximum 3 pages (OCR.space API limitation)
+        - Supported formats: Images (PNG, JPG, GIF), PDF, Word documents (DOCX, DOC)
+        """)
     
     return demo