Update app.py

app.py

@@ -128,7 +128,7 @@ Structure your responses to allow for seamless concatenation, presenting all tab
 
 
 def update_input():
-    return en_1  
+    return en_1
 
 
 with gr.Blocks(title="Automated Enzyme Kinetics Extractor") as demo:
@@ -137,33 +137,51 @@ with gr.Blocks(title="Automated Enzyme Kinetics Extractor") as demo:
         <p>How to use:
         <br><strong>1</strong>: Upload your PDF.
         <br><strong>2</strong>: Click "View PDF" to preview it.
-        <br><strong>3</strong>: Enter your extraction prompt in the input box.
-        <br><strong>4</strong>: Click "Generate" to extract, and the extracted information will display below.
+        <br><strong>3</strong>: Click "Extract Text" to extract Text.
+        <br><strong>4</strong>: Enter your extraction prompt in the input box.
+        <br><strong>5</strong>: Click "Generate" to extract, and the extracted information will display below.
         </p>'''
     )
     with gr.Row():
         with gr.Column(scale=1):
             file_input = gr.File(label="Upload your PDF", type="filepath")
             example = gr.Examples(examples=[["./sample.pdf"]], inputs=file_input)
-            viewer_button = gr.Button("View PDF")
+            with gr.Row():
+                viewer_button = gr.Button("View PDF", variant="secondary")
+                extract_button = gr.Button("Extract Text", variant="primary")
             file_out = gr.Gallery(label="PDF Viewer", columns=1, height="auto", object_fit="contain")
 
-        with gr.Column(scale=2):
-            model_input = gr.Textbox(lines=7, value=en_1, placeholder='Enter your extraction prompt here', label='Input Prompt')
-            exp = gr.Button("Example Prompt")
-            with gr.Row():
-                gen = gr.Button("Generate")
-                clr = gr.Button("Clear")
-            outputs = gr.Markdown(label='Output', value="""| Enzyme     | Organism          | Substrate   | Km  | Unit_Km | Kcat | Unit_Kcat | Kcat/Km | Unit_Kcat/Km | Commentary[Temp] | Commentary[pH] | Commentary[Mutant] | Commentary[Cosubstrate] |
+        with gr.Column(scale=1):
+            text_output = gr.Textbox(
+                label="Extracted Text",
+                interactive=True,
+                placeholder="Extracted text will appear here...",
+                lines=39,
+                max_lines=39,  # 设置最大行数，如果超过将显示滚动条
+                autoscroll=False,  # 设置自动滚动到底部
+                show_copy_button=True,
+                elem_id="text-output"
+            )
+
+    with gr.Column():
+        model_input = gr.Textbox(lines=7, value=en_1, placeholder='Enter your extraction prompt here', label='Input Prompt')
+        exp = gr.Button("Example Prompt")
+        with gr.Row():
+            gen = gr.Button("Generate")
+            clr = gr.Button("Clear")
+        outputs = gr.Markdown(label='Output', value="""| Enzyme     | Organism          | Substrate   | Km  | Unit_Km | Kcat | Unit_Kcat | Kcat/Km | Unit_Kcat/Km | Commentary[Temp] | Commentary[pH] | Commentary[Mutant] | Commentary[Cosubstrate] |
 |------------|-------------------|-------------|-----|---------|------|-----------|---------|--------------|------------------|----------------|--------------------|-------------------------|
 | Enzyme1    | Bacillus subtilis | Substrate_A | 7.3 | mM      | 6.4  | s^-1      | 1.4 × 10^4   | M^-1s^-1     | 37°C             | 5.0            | WT                 | NADP^+                  |
 | Enzyme2    | Escherichia coli  | Substrate_B | 5.9 | mM      | 9.8  | s^-1      | 29000   | mM^-1min^-1  | 60°C             | 10.0           | Q176E             | NADPH                   |
 | Enzyme3    | Homo sapiens      | Substrate_C | 6.9 | mM      | 15.6 | s^-1      | 43000   | µM^-1s^-1    | 65°C             | 8.0            | T253S             | NAD^+                   |
 
 """)
+    extract_button.click(extract_pdf_pypdf, inputs=file_input, outputs=text_output)
     exp.click(update_input, outputs=model_input)
     gen.click(fn=predict, inputs=[model_input, file_input], outputs=outputs)
     clr.click(fn=lambda: [gr.update(value=""), gr.update(value="")], inputs=None, outputs=[model_input, outputs])
     viewer_button.click(display_pdf_images, inputs=file_input, outputs=file_out)
 
+
 demo.launch()
+