Update app.py

app.py

@@ -161,16 +161,33 @@ example_text = """The Apollo 11 mission, launched by NASA in July 1969, was the
 with gr.Blocks() as iface:
     with gr.Row():
         with gr.Column():
-            input_text = gr.Textbox(label="Input Text")
-            question = gr.Textbox(label="Question")
-            example_box = gr.Markdown(f"### Example Paragraph\n\n{example_text}")
+            input_text = gr.Textbox(label="Input Text", lines=6, placeholder="Enter your text here...")
+            question = gr.Textbox(label="Question", lines=1, placeholder="Ask a question about the text...")
+            example_box = gr.Markdown(f"### Example Paragraph\n\nUse the following paragraph as a sample input:\n\n{example_text}")
             graph_viz = gr.Image(label="Graph Visualization", type="filepath")
         with gr.Column():
-            answer = gr.Textbox(label="Answer")
-            relations_table = gr.Dataframe(label="Relations Table")
-            summary = gr.Textbox(label="Summary")
+            answer = gr.Textbox(label="Answer", lines=3, placeholder="The answer will appear here.")
+            relations_table = gr.Dataframe(label="Relations Table", headers=["Node 1", "Node 2", "Relation"], interactive=False)
+            summary = gr.Textbox(label="Summary", lines=2, placeholder="Summary of the input text will appear here.")
             generated_image = gr.Image(label="Generated Image", type="filepath")
 
+    gr.Markdown("""
+    ### Instructions to Use the App:
+
+    1. **Input Text:** Enter the text you want to analyze in the "Input Text" field.
+    2. **Ask a Question:** Enter a question related to the text in the "Question" field.
+    3. **Run the Analysis:** Click the "Run" button to analyze the text.
+    4. **View Results:**
+       - The "Answer" field will display the response to your question.
+       - The "Graph Visualization" will show a graphical representation of entities and their relationships in the text.
+       - The "Relations Table" will display extracted relationships in tabular form.
+       - The "Summary" field will provide a concise summary of the input text.
+       - The "Generated Image" will depict a visual representation based on the summarized text.
+
+    **Example:** Use the provided example paragraph for a quick demo of the app.
+
+    """)
+
     gr.Button("Run").click(ui_function, inputs=[input_text, question], outputs=[answer, graph_viz, relations_table, summary, generated_image])
     
     footer_text = """
@@ -181,4 +198,5 @@ with gr.Blocks() as iface:
         </footer>
         """
     gr.Markdown(footer_text)
+
 iface.launch()