simpler english

app.py

@@ -34,6 +34,8 @@ headers = {"Authorization": f"Bearer {HF_TOKEN}"}
 # Global variable to control debug printing
 DEBUG_MODE = True
 
+file_content = "Not yet loaded"
+
 try:
     file_path = "issun-boshi.txt"
     # Open the file in read mode ('r')
@@ -155,16 +157,17 @@ def predict(message, history):
     except Exception as e:
         debug_print("Error in streaming output", str(e))
 
-strategies = '''making connections between the text and their prior knowledge;
-forming and testing hypotheses about texts;
-asking questions about  the text;
-creating mental images or visualising;
-inferring meaning from  the text;
-identifying the writer’s purpose and point of view;
-identifying the main idea or theme in the text;
-summarising the information or events in  the text;
-analysing and synthesising ideas, information, structures, and features in  the text;
-evaluating ideas and information'''
+strategies = '''
+- making connections between the text and their prior knowledge;
+- forming and testing hypotheses about texts;
+- asking questions about  the text;
+- creating mental images or visualising;
+- inferring meaning from  the text;
+- identifying the writer’s purpose and point of view;
+- identifying the main idea or theme in the text;
+- summarising the information or events in  the text;
+- analysing and synthesising ideas, information, structures, and features in  the text;
+- evaluating ideas and information'''
 
 
 with gr.Blocks() as demo:
@@ -172,7 +175,7 @@ with gr.Blocks() as demo:
         learner_data = gr.Textbox(label="Learner Data", placeholder="Enter learner data here...", lines=4, value="Honoka is a Japanese EFL student. [summary of relevant student data]")
         learning_content = gr.Textbox(label="Learning Content", placeholder="Enter learning content here...", lines=4, value=learning_content)
         teacher_prompt = gr.Textbox(label="Teacher Prompt", placeholder="Enter chat guidance here...", lines=4, 
-                                    value=f"You are a professional EFL teacher. Help the student actively read the text using these strategies: {strategies}. Guide the conversation to discuss the Learning Content below.")
+                                    value=f"You are a professional EFL teacher. Help the student actively read the text using these strategies: {strategies}. Use simple vocabulary and short sentences a beginner would understand. Guide the conversation to discuss the Learning Content below.")
         
         # pre prompt the history_openai_format list
         history_openai_format.append({"role": "system", "content": f"{teacher_prompt.value} Learner Data: {learner_data.value}. Learning Content: {learning_content.value}. "})