Update app.py

app.py

@@ -41,29 +41,29 @@ def compute_pca(data):
 
 def text_editor_app():
     with gr.Blocks() as demo:
-        # Use a DataFrame component for inputs with fixed columns
-        data_input = gr.Dataframe(
-            headers=["Identifier", "Text"],
-            datatype=["str", "str"],
-            row_count=(4, "dynamic"),
-            col_count=(2, "fixed"),
-            label="Input Data (Enter at least two texts)",
-            wrap=True
-        )
+        identifiers = []
+        texts = []
+        with gr.Row():
+            for i in range(4):  # Assuming 4 entries
+                with gr.Column():
+                    id_input = gr.Textbox(label=f"Identifier {i+1}")
+                    text_input = gr.Textbox(label=f"Text {i+1}")
+                    identifiers.append(id_input)
+                    texts.append(text_input)
 
-        # Button to run the analysis
         analyze_button = gr.Button("Run Analysis")
-
-        # Output plot
         output_plot = gr.Plot(label="PCA Visualization")
 
-        # Run analysis when the button is clicked
-        analyze_button.click(
-            fn=compute_pca, inputs=data_input, outputs=output_plot
-        )
+        def collect_inputs(*args):
+            data = list(zip(args[:4], args[4:]))  # Pair identifiers and texts
+            return compute_pca(data)
+
+        inputs = identifiers + texts
+        analyze_button.click(fn=collect_inputs, inputs=inputs, outputs=output_plot)
 
     return demo
 
 
+
 # Launch the app
 text_editor_app().launch()