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import streamlit as st
import openai
from datetime import datetime
import json
from collections import defaultdict
# Initialize OpenAI
openai.api_key = st.secrets["OPENAI_API_KEY"]
# Initialize session state variables
if 'story' not in st.session_state:
st.session_state.story = []
if 'current_level' not in st.session_state:
st.session_state.current_level = 'beginner'
if 'story_started' not in st.session_state:
st.session_state.story_started = False
if 'badges' not in st.session_state:
st.session_state.badges = defaultdict(int)
if 'vocabulary_used' not in st.session_state:
st.session_state.vocabulary_used = set()
if 'learning_summary' not in st.session_state:
st.session_state.learning_summary = []
def get_ai_response(prompt, level):
"""Get response from OpenAI API"""
system_prompt = f"""You are an English teacher helping a {level} level student write a story.
Provide the following in JSON format:
1. next_sentence: Continue the story naturally
2. feedback: Constructive feedback about their writing
3. vocabulary_suggestions: 3 new words they could use, appropriate for their level
4. question: An open-ended question about the story to stimulate creativity
5. grammar_check: Any grammar corrections needed
6. visual_description: A simple description of the current scene
Keep responses appropriate for the student's level."""
try:
response = openai.ChatCompletion.create(
model="gpt-4-turbo-preview",
messages=[
{"role": "system", "content": system_prompt},
{"role": "user", "content": f"Story so far: {prompt}\n\nProvide response in JSON format."}
],
temperature=0.7
)
return json.loads(response.choices[0].message.content)
except Exception as e:
st.error(f"Error with AI response: {e}")
return get_default_response(level)
def get_default_response(level):
"""Fallback response if API fails"""
return {
"next_sentence": "The story continues...",
"feedback": "Please try again.",
"vocabulary_suggestions": ["word1", "word2", "word3"],
"question": "What happens next?",
"grammar_check": "No issues found.",
"visual_description": "A simple scene"
}
def award_badge(category):
"""Award badges based on achievements"""
st.session_state.badges[category] += 1
st.balloons()
st.success(f"🏆 New Badge Earned: {category}!")
def generate_learning_summary():
"""Generate end-of-story learning summary"""
unique_words = len(st.session_state.vocabulary_used)
story_length = len(st.session_state.story)
summary = {
"total_sentences": story_length,
"unique_vocabulary": unique_words,
"badges_earned": dict(st.session_state.badges),
"level": st.session_state.current_level,
"completion_date": datetime.now().strftime("%Y-%m-%d %H:%M:%S")
}
return summary
def main():
st.title("🎨 Interactive Story Adventure")
# Level selection
if not st.session_state.story_started:
col1, col2 = st.columns([2, 1])
with col1:
st.write("### Welcome to Story Adventure!")
st.write("Let's create an amazing story together. Choose your level and start writing!")
level = st.selectbox(
"Choose your English level:",
['beginner', 'intermediate', 'advanced'],
key='level_select'
)
if st.button("Start Story!"):
st.session_state.current_level = level
st.session_state.story_started = True
st.rerun()
# Main story interface
if st.session_state.story_started:
# Story display area
with st.container():
st.write("### Our Story So Far:")
for i, entry in enumerate(st.session_state.story):
if entry['author'] == 'AI':
st.info(entry['text'])
if 'visual_description' in entry:
st.caption(f"🎨 Scene: {entry['visual_description']}")
else:
st.success(entry['text'])
# Writing area
with st.container():
# Show AI's question if available
if st.session_state.story and 'question' in st.session_state.story[-1]:
st.write(f"🤔 Think about: {st.session_state.story[-1]['question']}")
user_input = st.text_area("Add to the story:", key='story_input')
col1, col2, col3 = st.columns([1,1,1])
with col1:
if st.button("Submit"):
if user_input:
# Get story so far as context
story_context = " ".join([entry['text'] for entry in st.session_state.story])
# Add user's sentence to story
st.session_state.story.append({
'author': 'User',
'text': user_input,
'timestamp': datetime.now().isoformat()
})
# Get AI response
ai_response = get_ai_response(f"{story_context}\n{user_input}",
st.session_state.current_level)
# Add AI's sentence to story
st.session_state.story.append({
'author': 'AI',
'text': ai_response['next_sentence'],
'question': ai_response['question'],
'visual_description': ai_response['visual_description'],
'timestamp': datetime.now().isoformat()
})
# Show feedback and grammar check
st.write("### Feedback:")
st.write(ai_response['feedback'])
if ai_response['grammar_check'] != "No issues found.":
st.warning(ai_response['grammar_check'])
# Update vocabulary used
words = set(user_input.lower().split())
st.session_state.vocabulary_used.update(words)
# Check for badges
if len(st.session_state.story) >= 10:
award_badge("Storyteller")
if len(st.session_state.vocabulary_used) >= 20:
award_badge("Vocabulary Master")
st.rerun()
with col2:
if st.button("Get Help"):
if st.session_state.story:
ai_response = get_ai_response(" ".join([entry['text'] for entry in st.session_state.story]),
st.session_state.current_level)
st.write("### Suggested Words:")
for word in ai_response['vocabulary_suggestions']:
st.write(f"- {word}")
with col3:
if st.button("Finish Story"):
if len(st.session_state.story) > 0:
# Generate learning summary
summary = generate_learning_summary()
st.session_state.learning_summary.append(summary)
st.write("### Story Complete! 🎉")
st.write("#### Your Achievements:")
st.write(f"- Total sentences written: {summary['total_sentences']}")
st.write(f"- Unique words used: {summary['unique_vocabulary']}")
st.write("- Badges earned:")
for badge, count in summary['badges_earned'].items():
st.write(f" * {badge}: {count} 🏆")
# Download options
story_text = "\n".join([entry['text'] for entry in st.session_state.story])
st.download_button(
label="Download Story",
data=story_text,
file_name="my_story.txt",
mime="text/plain"
)
# Download progress report for parents/teachers
progress_report = {
"student_level": st.session_state.current_level,
"story_summary": summary,
"learning_progress": st.session_state.learning_summary
}
st.download_button(
label="Download Progress Report",
data=json.dumps(progress_report, indent=2),
file_name="progress_report.json",
mime="application/json"
)
# Reset session state
if st.button("Start New Story"):
st.session_state.story = []
st.session_state.story_started = False
st.session_state.vocabulary_used = set()
st.rerun()
if __name__ == "__main__":
main() |