Update app.py

app.py

@@ -56,93 +56,97 @@ gr.close_all()
 
 with gr.Blocks() as grady:
     gr.Markdown("## Grady - General AI Assistant")
-    gr.Markdown(os.environ.get("DESCRIPTION"))
 
-    with gr.Row():
-        with gr.Column(scale=3):
-            with gr.Row():
-                question = gr.Textbox(
-                    label="Question *",
-                    placeholder="In the 2025 Gradio Agents & MCP Hackathon, what percentage of participants submitted a solution during the last 24 hours?",
-                    interactive=True
-                )
-            with gr.Row():
-                level = gr.Radio(
-                    choices=[1, 2, 3],
-                    label="GAIA Benchmark Level",
-                    interactive=True,
-                    scale=1
-                )
-                ground_truth = gr.Textbox(
-                    label="Ground Truth",
-                    interactive=True,
-                    scale=1
-                )
-                file_name = gr.Textbox(
-                    label="File Name",
-                    interactive=True,
-                    scale=2
-                )
-            with gr.Row():
-                openai_api_key = gr.Textbox(
-                    label="OpenAI API Key *",
-                    type="password",
-                    placeholder="sk‑...",
-                    interactive=True
-                )
-                gemini_api_key = gr.Textbox(
-                    label="Gemini API Key *",
-                    type="password",
-                    interactive=True
-                )
-                anthropic_api_key = gr.Textbox(
-                    label="Anthropic API Key *",
-                    type="password",
-                    placeholder="sk‑ant-...",
-                    interactive=True
-                )
-            with gr.Row():
-                clear_btn = gr.ClearButton(
-                    components=[question, level, ground_truth, file_name]
-                )
-                submit_btn = gr.Button("Submit", variant="primary")
-        with gr.Column(scale=1):
-            answer = gr.Textbox(
-                label="Answer",
-                lines=1,
-                interactive=False
-            )
+    with gr.Tab("Solution"):
+        gr.Markdown(os.environ.get("DESCRIPTION"))
 
-    submit_btn.click(
-        fn=ask,
-        inputs=[question, openai_api_key, gemini_api_key, anthropic_api_key, file_name],
-        outputs=answer
-    )
-
-    QUESTION_FILE_PATH = "data/gaia_validation.jsonl"
+        with gr.Row():
+            with gr.Column(scale=3):
+                with gr.Row():
+                    question = gr.Textbox(
+                        label="Question *",
+                        placeholder="In the 2025 Gradio Agents & MCP Hackathon, what percentage of participants submitted a solution during the last 24 hours?",
+                        interactive=True
+                    )
+                with gr.Row():
+                    level = gr.Radio(
+                        choices=[1, 2, 3],
+                        label="GAIA Benchmark Level",
+                        interactive=True,
+                        scale=1
+                    )
+                    ground_truth = gr.Textbox(
+                        label="Ground Truth",
+                        interactive=True,
+                        scale=1
+                    )
+                    file_name = gr.Textbox(
+                        label="File Name",
+                        interactive=True,
+                        scale=2
+                    )
+                with gr.Row():
+                    openai_api_key = gr.Textbox(
+                        label="OpenAI API Key *",
+                        type="password",
+                        placeholder="sk‑...",
+                        interactive=True
+                    )
+                    gemini_api_key = gr.Textbox(
+                        label="Gemini API Key *",
+                        type="password",
+                        interactive=True
+                    )
+                    anthropic_api_key = gr.Textbox(
+                        label="Anthropic API Key *",
+                        type="password",
+                        placeholder="sk-ant-...",
+                        interactive=True
+                    )
+                with gr.Row():
+                    clear_btn = gr.ClearButton(
+                        components=[question, level, ground_truth, file_name]
+                    )
+                    submit_btn = gr.Button("Submit", variant="primary")
+            with gr.Column(scale=1):
+                answer = gr.Textbox(
+                    label="Answer",
+                    lines=1,
+                    interactive=False
+                )
     
-    gr.Examples(
-        label="GAIA Benchmark Level 1 Problems",
-        examples=get_questions(QUESTION_FILE_PATH, 1),
-        inputs=[question, level, ground_truth, file_name, openai_api_key, gemini_api_key, anthropic_api_key],
-        outputs=answer,
-        cache_examples=False
-    )
-
-    gr.Examples(
-        label="GAIA Benchmark Level 2 Problems",
-        examples=get_questions(QUESTION_FILE_PATH, 2),
-        inputs=[question, level, ground_truth, file_name, openai_api_key, gemini_api_key, anthropic_api_key],
-        outputs=answer,
-        cache_examples=False
-    )
-
-    gr.Examples(
-        label="GAIA Benchmark Level 3 Problems",
-        examples=get_questions(QUESTION_FILE_PATH, 3),
-        inputs=[question, level, ground_truth, file_name, openai_api_key, gemini_api_key, anthropic_api_key],
-        outputs=answer,
-        cache_examples=False
-    )
+        submit_btn.click(
+            fn=ask,
+            inputs=[question, openai_api_key, gemini_api_key, anthropic_api_key, file_name],
+            outputs=answer
+        )
+    
+        QUESTION_FILE_PATH = "data/gaia_validation.jsonl"
+        
+        gr.Examples(
+            label="GAIA Benchmark Level 1 Problems",
+            examples=get_questions(QUESTION_FILE_PATH, 1),
+            inputs=[question, level, ground_truth, file_name, openai_api_key, gemini_api_key, anthropic_api_key],
+            outputs=answer,
+            cache_examples=False
+        )
+    
+        gr.Examples(
+            label="GAIA Benchmark Level 2 Problems",
+            examples=get_questions(QUESTION_FILE_PATH, 2),
+            inputs=[question, level, ground_truth, file_name, openai_api_key, gemini_api_key, anthropic_api_key],
+            outputs=answer,
+            cache_examples=False
+        )
+    
+        gr.Examples(
+            label="GAIA Benchmark Level 3 Problems",
+            examples=get_questions(QUESTION_FILE_PATH, 3),
+            inputs=[question, level, ground_truth, file_name, openai_api_key, gemini_api_key, anthropic_api_key],
+            outputs=answer,
+            cache_examples=False
+        )
+    with gr.Tab("Documentation"):
+        gr.Markdown(os.environ.get("DOCUMENTATION"))
 
 grady.launch(mcp_server=True)