Update app.py

app.py

@@ -33,16 +33,17 @@ class QADataGenerator:
         self._setup_input_handlers()
         self._initialize_session_state()
         # This prompt instructs the LLM to generate three Q&A pairs.
+        # Note: Literal curly braces in the example are escaped with double braces.
         self.custom_prompt_template = (
             "You are an expert in extracting question and answer pairs from documents. "
             "Generate 3 Q&A pairs from the following data, formatted as a JSON list of dictionaries. "
             "Each dictionary must have keys 'question' and 'answer'. "
             "The questions should be clear and concise, and the answers must be based solely on the provided data with no external information. "
-            "Do not hallucinate. \n\n"
+            "Do not hallucinate.\n\n"
             "Example JSON Output:\n"
-            "[{'question': 'What is the capital of France?', 'answer': 'Paris'}, "
-            "{'question': 'What is the highest mountain in the world?', 'answer': 'Mount Everest'}, "
-            "{'question': 'What is the chemical symbol for gold?', 'answer': 'Au'}]\n\n"
+            "[{{'question': 'What is the capital of France?', 'answer': 'Paris'}}, "
+            "{{'question': 'What is the highest mountain in the world?', 'answer': 'Mount Everest'}}, "
+            "{{'question': 'What is the chemical symbol for gold?', 'answer': 'Au'}}]\n\n"
             "Now, generate 3 Q&A pairs from this data:\n{data}"
         )
     
@@ -250,7 +251,7 @@ class QADataGenerator:
                     self.log_error("Unexpected HuggingFace response format.")
                     return []
             else:
-                # For OpenAI (and similar providers) assume the response is similar to:
+                # For OpenAI (and similar providers), assume the response is similar to:
                 # response.choices[0].message.content
                 if response and hasattr(response, "choices") and response.choices:
                     raw_text = response.choices[0].message.content