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Add welcome screen for student name collection at app start with personalized VIVA greetings
Browse files
app.py
CHANGED
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@@ -25,9 +25,10 @@ ELEVENLABS_API_URL = "https://api.elevenlabs.io/v1/text-to-speech"
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# Voice ID for "Brian": nPczCjzI2devNBz1zQrb
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ELEVENLABS_VOICE_ID = "nPczCjzI2devNBz1zQrb"
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def generate_audio(text: str) -> str:
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"""
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Generate audio from text using ElevenLabs API.
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Returns path to temporary audio file or None if failed.
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"""
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if not ELEVENLABS_API_KEY:
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@@ -37,6 +38,10 @@ def generate_audio(text: str) -> str:
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if not text:
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print("⚠️ No text provided for audio generation")
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return None
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print(f"Generating audio for text: {text[:50]}...")
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@@ -550,13 +555,13 @@ Be professional, accurate, and suitable for medical school level study."""
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# VIVA Mode Handler Functions
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def start_viva_mode(topic, image):
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"""Initialize VIVA mode with questions."""
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if not topic or not image:
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return (
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gr.update(visible=False), # viva_container
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"Please learn about a topic first before starting VIVA mode!", # viva_status
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None, None, None, None, None, None, [] # other outputs
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)
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questions = generate_viva_questions(topic)
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@@ -565,33 +570,42 @@ def start_viva_mode(topic, image):
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return (
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gr.update(visible=False),
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"Error generating VIVA questions. Please try again.",
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None, None, None, None, None,
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)
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# Start with question 1
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q1 = questions[0]
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# Generate audio for first question
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audio_path = generate_audio(q1['question'])
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return (
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gr.update(visible=True), # Show VIVA container
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f"**VIVA MODE ACTIVE** 📝\nTopic: {topic}", # viva_status
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image, # viva_image
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f"### Question 1 of 5\n\n**{q1['question']}**", #
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f"💡 **Hint:** {q1.get('hint', 'Think about the key anatomical features.')}", # hint_display
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"", # Clear answer input
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"", # Clear feedback
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gr.update(interactive=True, value="Submit Answer"), # Enable submit button
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questions, # Store questions in state
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audio_path # Return audio path
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)
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def submit_viva_answer(answer, questions, current_q_idx):
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"""Process student's answer and move to next question."""
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if not questions or current_q_idx >= len(questions):
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return ("VIVA Complete!", "", "", gr.update(interactive=False), current_q_idx)
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q = questions[current_q_idx]
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feedback_text, emoji = evaluate_viva_answer(q['question'], answer, q.get('answer', ''))
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@@ -604,8 +618,8 @@ def submit_viva_answer(answer, questions, current_q_idx):
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next_question = f"### Question {next_idx + 1} of 5\n\n**{next_q['question']}**"
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next_hint = f"💡 **Hint:** {next_q.get('hint', 'Think carefully about the anatomical relationships.')}"
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# Generate audio for next question
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audio_path = generate_audio(next_q['question'])
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return (
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next_question, # Show next question
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@@ -632,21 +646,59 @@ def submit_viva_answer(answer, questions, current_q_idx):
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# Create Gradio interface
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with gr.Blocks(title="AnatomyBot - MBBS Anatomy Tutor") as demo:
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# 🩺 AnatomyBot - Your MBBS Anatomy Tutor
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Master anatomy through AI-powered learning and interactive VIVA practice!
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"""
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)
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# State variables for VIVA mode
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viva_questions_state = gr.State([])
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current_question_idx = gr.State(0)
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current_topic = gr.State("")
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current_image_state = gr.State(None)
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# LEARNING MODE TAB
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with gr.Tab("📚 Learning Mode"):
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# Search and examples at the top
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@@ -697,6 +749,9 @@ with gr.Blocks(title="AnatomyBot - MBBS Anatomy Tutor") as demo:
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with gr.Tab("🎯 VIVA Training Mode") as viva_tab:
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viva_status = gr.Markdown("Click 'Start VIVA Training' from Learning Mode after studying a topic!")
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with gr.Column(visible=False) as viva_container:
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with gr.Row():
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with gr.Column(scale=1):
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@@ -793,33 +848,55 @@ with gr.Blocks(title="AnatomyBot - MBBS Anatomy Tutor") as demo:
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outputs=[selected_page_image, analysis_output, current_book_topic, start_viva_book_btn]
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)
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# Start VIVA from Book Mode
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fn=lambda: gr.update(value="🎯 Start VIVA Training from this Page", interactive=True),
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outputs=[start_viva_book_btn]
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).then(
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fn=lambda: 0,
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outputs=[current_question_idx]
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)
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# Event handlers for Learning Mode
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def handle_query(query):
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"""Handle learning mode query and store topic/image."""
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@@ -840,19 +917,20 @@ with gr.Blocks(title="AnatomyBot - MBBS Anatomy Tutor") as demo:
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outputs=[image_output, info_output, error_output, current_topic, current_image_state, start_viva_btn]
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)
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# Start VIVA Mode
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start_viva_btn.click(
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fn=lambda: gr.update(value="⏳ Processing VIVA Question...", interactive=False),
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outputs=[start_viva_btn]
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).then(
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fn=start_viva_mode,
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inputs=[current_topic, current_image_state],
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outputs=[
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viva_container, viva_status, viva_image,
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current_question_display, hint_display,
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student_answer, feedback_display, submit_answer_btn,
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viva_questions_state,
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question_audio # Output audio
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]
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).then(
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fn=lambda: gr.update(selected=1), # Switch to VIVA tab
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).then(
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fn=lambda: gr.update(value="🎯 Start VIVA Training", interactive=True), # Reset button
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outputs=[start_viva_btn]
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).then(
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fn=lambda: gr.update(selected=1), # Switch to VIVA tab
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outputs=[tabs]
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).then(
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fn=lambda: 0, # Reset question index
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outputs=[current_question_idx]
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@@ -871,7 +946,7 @@ with gr.Blocks(title="AnatomyBot - MBBS Anatomy Tutor") as demo:
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# Submit VIVA Answer
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submit_answer_btn.click(
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fn=submit_viva_answer,
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inputs=[student_answer, viva_questions_state, current_question_idx],
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outputs=[
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current_question_display, hint_display, student_answer,
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feedback_display, submit_answer_btn, current_question_idx,
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# Voice ID for "Brian": nPczCjzI2devNBz1zQrb
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ELEVENLABS_VOICE_ID = "nPczCjzI2devNBz1zQrb"
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def generate_audio(text: str, student_name: str = None) -> str:
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"""
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Generate audio from text using ElevenLabs API.
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If student_name is provided, prepends a personalized greeting.
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Returns path to temporary audio file or None if failed.
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"""
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if not ELEVENLABS_API_KEY:
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if not text:
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print("⚠️ No text provided for audio generation")
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return None
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# Add personalized greeting if student name is provided
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if student_name:
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text = f"Welcome to Viva, Doctor {student_name}, let's start. {text}"
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print(f"Generating audio for text: {text[:50]}...")
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# VIVA Mode Handler Functions
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def start_viva_mode(topic, image, student_name=""):
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"""Initialize VIVA mode with questions."""
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if not topic or not image:
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return (
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gr.update(visible=False), # viva_container
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"Please learn about a topic first before starting VIVA mode!", # viva_status
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None, None, None, None, None, None, [], None, student_name # other outputs
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)
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questions = generate_viva_questions(topic)
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return (
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gr.update(visible=False),
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"Error generating VIVA questions. Please try again.",
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None, None, None, None, None, gr.update(interactive=False), [], None, student_name
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)
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# Start with question 1
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q1 = questions[0]
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# Generate audio for first question with student name
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audio_path = generate_audio(q1['question'], student_name if student_name else None)
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return (
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gr.update(visible=True), # Show VIVA container
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f"**VIVA MODE ACTIVE** 📝\nTopic: {topic}", # viva_status
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image, # viva_image
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f"### Question 1 of 5\n\n**{q1['question']}**", # current_question_display
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f"💡 **Hint:** {q1.get('hint', 'Think about the key anatomical features.')}", # hint_display
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"", # Clear answer input
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"", # Clear feedback
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gr.update(interactive=True, value="Submit Answer"), # Enable submit button
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questions, # Store questions in state
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audio_path, # Return audio path
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student_name # Return student name to maintain in state
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)
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# Wrapper to start VIVA with personalized greeting
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def start_viva_with_name(name, topic, image):
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viva_container_out, viva_status_out, viva_image_out, cur_q_disp, hint_disp, stu_ans, fb_disp, sub_btn, viva_q_state, q_audio, student_name_out = start_viva_mode(topic, image, name)
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greeting = f"Doctor {name}, let's go to VIVA!"
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# Add greeting as separate markdown component above question
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viva_greeting_out = greeting
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return viva_container_out, viva_status_out, viva_image_out, cur_q_disp, hint_disp, stu_ans, fb_disp, sub_btn, viva_q_state, q_audio, viva_greeting_out, student_name_out
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def submit_viva_answer(answer, questions, current_q_idx, student_name=""):
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"""Process student's answer and move to next question."""
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if not questions or current_q_idx >= len(questions):
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return ("VIVA Complete!", "", "", gr.update(interactive=False), current_q_idx, None)
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q = questions[current_q_idx]
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feedback_text, emoji = evaluate_viva_answer(q['question'], answer, q.get('answer', ''))
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next_question = f"### Question {next_idx + 1} of 5\n\n**{next_q['question']}**"
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next_hint = f"💡 **Hint:** {next_q.get('hint', 'Think carefully about the anatomical relationships.')}"
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# Generate audio for next question with student name
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audio_path = generate_audio(next_q['question'], student_name if student_name else None)
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return (
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next_question, # Show next question
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# Create Gradio interface
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with gr.Blocks(title="AnatomyBot - MBBS Anatomy Tutor") as demo:
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# State variables
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student_name_state = gr.State("")
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viva_questions_state = gr.State([])
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current_question_idx = gr.State(0)
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current_topic = gr.State("")
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current_image_state = gr.State(None)
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# Welcome Screen (shown first)
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with gr.Column(visible=True) as welcome_screen:
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gr.Markdown(
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"""
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# 🩺 Welcome to AnatomyBot
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### Your Personal MBBS Anatomy Tutor
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Master anatomy through AI-powered learning and interactive VIVA practice!
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"""
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)
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gr.Markdown("---")
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gr.Markdown("## 👨⚕️ Let's Get Started!")
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gr.Markdown("Please enter your name to begin your personalized learning journey.")
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with gr.Row():
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with gr.Column(scale=1):
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pass # Empty column for centering
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with gr.Column(scale=2):
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welcome_name_input = gr.Textbox(
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label="Your Name",
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placeholder="Enter your name (e.g., Ahmed, Sarah, etc.)",
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lines=1,
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scale=1
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)
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welcome_submit_btn = gr.Button(
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"🚀 Start Learning",
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variant="primary",
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size="lg"
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)
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with gr.Column(scale=1):
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pass # Empty column for centering
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# Main Application (hidden initially)
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with gr.Column(visible=False) as main_app:
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gr.Markdown(
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"""
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# 🩺 AnatomyBot - Your MBBS Anatomy Tutor
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Master anatomy through AI-powered learning and interactive VIVA practice!
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"""
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)
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# Display student name
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student_name_display = gr.Markdown("")
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with gr.Tabs(visible=False) as tabs:
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# LEARNING MODE TAB
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with gr.Tab("📚 Learning Mode"):
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# Search and examples at the top
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with gr.Tab("🎯 VIVA Training Mode") as viva_tab:
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viva_status = gr.Markdown("Click 'Start VIVA Training' from Learning Mode after studying a topic!")
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# Additional greeting component (initially hidden)
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viva_greeting = gr.Markdown("", visible=False)
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with gr.Column(visible=False) as viva_container:
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with gr.Row():
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with gr.Column(scale=1):
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outputs=[selected_page_image, analysis_output, current_book_topic, start_viva_book_btn]
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)
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# Start VIVA from Book Mode - Use pre-collected name
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start_viva_book_btn.click(
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fn=lambda name, topic, image: start_viva_with_name(name, topic, image),
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inputs=[student_name_state, current_book_topic, selected_page_image],
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outputs=[
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viva_container, viva_status, viva_image,
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current_question_display, hint_display,
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student_answer, feedback_display, submit_answer_btn,
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viva_questions_state,
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question_audio, viva_greeting, student_name_state
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]
|
| 862 |
+
).then(
|
| 863 |
+
fn=lambda: gr.update(selected=1), # Switch to VIVA tab
|
| 864 |
+
outputs=[tabs]
|
| 865 |
+
).then(
|
| 866 |
+
fn=lambda: 0,
|
| 867 |
+
outputs=[current_question_idx]
|
| 868 |
+
)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 869 |
|
| 870 |
|
| 871 |
|
| 872 |
+
# Welcome Screen Handler
|
| 873 |
+
def handle_welcome_submit(name):
|
| 874 |
+
"""Handle welcome screen submission."""
|
| 875 |
+
if not name or not name.strip():
|
| 876 |
+
return gr.update(), gr.update(), gr.update(), gr.update(), "" # Don't proceed if name is empty
|
| 877 |
+
|
| 878 |
+
greeting = f"**Welcome, Doctor {name}!** 👋"
|
| 879 |
+
return (
|
| 880 |
+
gr.update(visible=False), # Hide welcome screen
|
| 881 |
+
gr.update(visible=True), # Show main app
|
| 882 |
+
gr.update(visible=True), # Show tabs
|
| 883 |
+
greeting, # Display greeting
|
| 884 |
+
name # Store name in state
|
| 885 |
+
)
|
| 886 |
+
|
| 887 |
+
welcome_submit_btn.click(
|
| 888 |
+
fn=handle_welcome_submit,
|
| 889 |
+
inputs=[welcome_name_input],
|
| 890 |
+
outputs=[welcome_screen, main_app, tabs, student_name_display, student_name_state]
|
| 891 |
+
)
|
| 892 |
+
|
| 893 |
+
# Also allow Enter key to submit
|
| 894 |
+
welcome_name_input.submit(
|
| 895 |
+
fn=handle_welcome_submit,
|
| 896 |
+
inputs=[welcome_name_input],
|
| 897 |
+
outputs=[welcome_screen, main_app, tabs, student_name_display, student_name_state]
|
| 898 |
+
)
|
| 899 |
+
|
| 900 |
# Event handlers for Learning Mode
|
| 901 |
def handle_query(query):
|
| 902 |
"""Handle learning mode query and store topic/image."""
|
|
|
|
| 917 |
outputs=[image_output, info_output, error_output, current_topic, current_image_state, start_viva_btn]
|
| 918 |
)
|
| 919 |
|
| 920 |
+
# Start VIVA Mode - Directly start with pre-collected name
|
| 921 |
start_viva_btn.click(
|
| 922 |
fn=lambda: gr.update(value="⏳ Processing VIVA Question...", interactive=False),
|
| 923 |
outputs=[start_viva_btn]
|
| 924 |
).then(
|
| 925 |
+
fn=lambda name, topic, image: start_viva_mode(topic, image, name),
|
| 926 |
+
inputs=[student_name_state, current_topic, current_image_state],
|
| 927 |
outputs=[
|
| 928 |
viva_container, viva_status, viva_image,
|
| 929 |
current_question_display, hint_display,
|
| 930 |
student_answer, feedback_display, submit_answer_btn,
|
| 931 |
viva_questions_state,
|
| 932 |
+
question_audio, # Output audio
|
| 933 |
+
student_name_state # Return student name (unchanged)
|
| 934 |
]
|
| 935 |
).then(
|
| 936 |
fn=lambda: gr.update(selected=1), # Switch to VIVA tab
|
|
|
|
| 938 |
).then(
|
| 939 |
fn=lambda: gr.update(value="🎯 Start VIVA Training", interactive=True), # Reset button
|
| 940 |
outputs=[start_viva_btn]
|
|
|
|
|
|
|
|
|
|
| 941 |
).then(
|
| 942 |
fn=lambda: 0, # Reset question index
|
| 943 |
outputs=[current_question_idx]
|
|
|
|
| 946 |
# Submit VIVA Answer
|
| 947 |
submit_answer_btn.click(
|
| 948 |
fn=submit_viva_answer,
|
| 949 |
+
inputs=[student_answer, viva_questions_state, current_question_idx, student_name_state],
|
| 950 |
outputs=[
|
| 951 |
current_question_display, hint_display, student_answer,
|
| 952 |
feedback_display, submit_answer_btn, current_question_idx,
|