Update app.py

app.py

@@ -1,36 +1,73 @@
 import gradio as gr
 
-context = "What should be documented in a care plan?\n"
-context = context + "Regardless of what your preferences are, your care plan should include:\n"
-context = context + "What your assessed care needs are.\n"
-context = context + "What type of support you should receive.\n"
-context = context + "Your desired outcomes.\n"
-context = context + "Who should provide care.\n"
-context = context + "When care and support should be provided.\n"
-context = context + "Records of care provided.\n"
-context = context + "Your wishes and personal preferences.\n"
-context = context + "The costs of the services.\n"
-context = context + "Dimensions\n"
-context = context + "1-Ontology of Plan\n"
-context = context + "2-Problems as evidenced by Signs of Systems\n"
-context = context + "3-Assessment of Needs\n"
-context = context + "4-Questions about problems faced\n"
-context = context + "5-Goals for long and short term improvements\n"
-context = context + "6-Knowledge-Behavior-Status Quality Measures\n"
-context = context + "7-Intervention List of Options\n"
-context = context + "8-Quality Measures\n"
-context = context + "9-Pathways Available\n"
-
-with open('WritingCarePlans.txt', 'r') as file:
-        context = file.read()
-
-question = "What should be documented in a care plan?"
-
-gr.Interface.load(
-             "huggingface/deepset/roberta-base-squad2",
-             theme="default",
-             css=".footer{display:none !important}",
-             inputs=[gr.inputs.Textbox(lines=12, default=context, label="Context paragraph"), gr.inputs.Textbox(lines=3, default=question, label="Question")],
-             outputs=[gr.outputs.Textbox(label="Answer"), gr.outputs.Textbox(label="Score")],
-             title=None,
-             description="Provide your own paragraph and ask any question about the text. How well does the model answer?").launch()
+# --- Context Setup ---
+# The context provided in the original prompt is overwritten by reading the file.
+# I'll keep the file reading logic as it was in the original code.
+context_text = ""
+try:
+    with open('WritingCarePlans.txt', 'r', encoding='utf-8') as file:
+        context_text = file.read()
+except FileNotFoundError:
+    print("Warning: WritingCarePlans.txt not found. Using default context.")
+    # Fallback to the context string if the file doesn't exist
+    context_text = (
+        "What should be documented in a care plan?\n"
+        "Regardless of what your preferences are, your care plan should include:\n"
+        "What your assessed care needs are.\n"
+        "What type of support you should receive.\n"
+        "Your desired outcomes.\n"
+        "Who should provide care.\n"
+        "When care and support should be provided.\n"
+        "Records of care provided.\n"
+        "Your wishes and personal preferences.\n"
+        "The costs of the services.\n\n"
+        "Dimensions\n"
+        "1-Ontology of Plan\n"
+        "2-Problems as evidenced by Signs of Systems\n"
+        "3-Assessment of Needs\n"
+        "4-Questions about problems faced\n"
+        "5-Goals for long and short term improvements\n"
+        "6-Knowledge-Behavior-Status Quality Measures\n"
+        "7-Intervention List of Options\n"
+        "8-Quality Measures\n"
+        "9-Pathways Available"
+    )
+
+question_text = "What should be documented in a care plan?"
+
+# --- Gradio Blocks UI ---
+with gr.Blocks(theme=gr.themes.Default(), css=".footer {display: none !important}") as demo:
+    gr.Markdown("# Question Answering with RoBERTa 🤖")
+    gr.Markdown("Provide your own paragraph and ask any question about the text. The model will find the answer within the text.")
+
+    # Load the model from Hugging Face. gr.load returns a function.
+    model_fn = gr.load("huggingface/deepset/roberta-base-squad2")
+
+    with gr.Row():
+        # Input Column
+        with gr.Column(scale=2):
+            context_box = gr.Textbox(
+                value=context_text,
+                lines=15,
+                label="Context Paragraph"
+            )
+            question_box = gr.Textbox(
+                value=question_text,
+                lines=2,
+                label="Question"
+            )
+            submit_btn = gr.Button("Find Answer", variant="primary")
+
+        # Output Column
+        with gr.Column(scale=1):
+            answer_box = gr.Textbox(label="Answer", interactive=False, lines=8)
+            score_box = gr.Textbox(label="Confidence Score", interactive=False)
+
+    # Define the click action for the button
+    submit_btn.click(
+        fn=model_fn,
+        inputs=[context_box, question_box],
+        outputs=[answer_box, score_box]
+    )
+
+demo.launch()