final changes demo

demo.py

@@ -35,7 +35,7 @@ BASE_URL = "https://skapi.polyglot-edu.com/"
 
 levels = ["Primary School", "Middle School", "High School", "College", "Academy"]
 languages = ["English", "Italian", "French", "German", "Spanish"]
-type_of_exercise = ["Open Question", "Short Answer Question", "True or False", "Fill in the Blanks", "Single Choice", "Multiple Choice", "Debate", "Essay", "Brainstorming", "Knoledge Exposition"]
+type_of_exercise = ["Open Question", "Short Answer Question", "True or False", "Fill in the Blanks", "Single Choice", "Multiple Choice", "Debate", "Essay", "Brainstorming", "Knowledge Exposition"]
 bloom_levels = ["Remembering", "Understanding", "Applying", "Analyzing", "Evaluating", "Creating"]
 
 def like():
@@ -65,7 +65,8 @@ def analyze_resource(url):
     )
 
     if response.status_code != 200:
-        raise gr.Error(f"Failed to analyze resource: {response.text}")
+        raise gr.Error(f"""Failed to analyze resource: {response.text}
+Please try again with different parameters""")
     
     return response.json()
 
@@ -82,7 +83,8 @@ def generate_learning_objective(topic, context, level):
     )
 
     if response.status_code != 200:
-        raise gr.Error(f"Failed to generate learning objective: {response.text}")
+        raise gr.Error(f"""Failed to generate learning objective: {response.text}
+Please try again with different parameters""")
     
     return response.json()
 
@@ -93,7 +95,9 @@ def generate_exercise(state):
                 return key
         return None
     
-    gr.Info(find_key(state["learningObjectiveList"], state['learningObjective']))
+    gr.Info(f"Generating exercise with Bloom level: {find_key(state["learningObjectiveList"], state['learningObjective'])}")
+
+    print(state["correctAnswersNumber"], state["distractorsNumber"], state["easyDistractorsNumber"])
 
     try:
         _json = {
@@ -126,7 +130,8 @@ def generate_exercise(state):
     )
 
     if step3.status_code != 200:
-        raise gr.Error(f"Failed to generate exercise: {step3.text}")
+        raise gr.Error(f"""Failed to generate exercise: {step3.text}
+Please try again with different parameters""")
     
     global firebase_current_ref
     firebase_current_ref = firebase_data_ref.push({
@@ -150,7 +155,7 @@ def format_output(output, exercise_type):
         return f"""<div class='markdown-body'><h3>Question:</h3><p>{output['Assignment']}</p><h3>Options:</h3><p>{
             "<br/>".join(["✅" + x for x in output['Solutions']] + ["❌" + x for x in output['Distractors'] + output["EasilyDiscardableDistractors"]])
         }</p></div>"""
-    elif type_of_exercise[exercise_type] in ["Debate", "Essay", "Brainstorming", "Knoledge Exposition"]:
+    elif type_of_exercise[exercise_type] in ["Debate", "Essay", "Brainstorming", "Knowledge Exposition"]:
         return f"<div class='markdown-body'><h3>Assignment:</h3><p>{output['Assignment']}</p></div>"
     elif type_of_exercise[exercise_type] in ["Fill in the Blanks"]:
         return f"""<div class='markdown-body'><h3>Paragraph:</h3><p>{output['Plus']}</p><h3>Question:</h3><p>{output['Assignment']}</p><h3>Options:</h3><p>{
@@ -200,6 +205,7 @@ body, html {
 }
 .row-content {
     height: 90vh;        /* Full height */
+    overflow: auto;   /* Scrollable content */
 }
 .column-content {
     display: flex;
@@ -321,7 +327,7 @@ with gr.Blocks(title="Educational AI", css=css) as demo:
     with gr.Row(elem_classes=["row-content"]):
         with gr.Column(scale=3, elem_classes=["column-content"]):
             level_component = gr.Dropdown(label="Level", choices=levels, value=levels[-1])
-            url_component = gr.Textbox(label="Input URL", placeholder="Enter URL here...")
+            url_component = gr.Textbox(label="Input URL - Do not provide pages that are too long (e.g. Wikipedia pages) or too short, as they may not be analyzed correctly", placeholder="Enter URL here...")
             iframe_component = gr.HTML("<iframe class='second-row' src='' allowfullscreen></iframe>")
 
         with gr.Column(scale=3):
@@ -376,7 +382,6 @@ with gr.Blocks(title="Educational AI", css=css) as demo:
 
 
     # on generate question
-    generate_btn.click(lambda: gr.Info("Generating question..."))
     generate_btn.click(generate_exercise, [state], [output_component])
 
 demo.launch(show_api=False)