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Browse files- .env +1 -0
- app.py +167 -0
- requirements.txt +3 -0
.env
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GROQ_API_KEY="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"
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app.py
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import os
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from dotenv import load_dotenv
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from langchain_groq import ChatGroq
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import streamlit as st
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# Load environment variables from .env file
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load_dotenv()
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# Retrieve the API key from environment variables
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api_key = os.getenv('GROQ_API_KEY')
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# Initialize ChatGroq
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llm = ChatGroq(
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api_key=api_key,
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model="llama-3.1-70b-versatile", # Specify your desired model
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temperature=1.0, # Set temperature for creative output
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max_retries=2 # Set maximum retries for requests
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)
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# Function to generate quiz questions
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def generate_questions(topic="math", num_questions=3):
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"""
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Generate quiz questions without answers.
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"""
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try:
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prompt = f"Generate {num_questions} {topic} multiple-choice quiz questions with 4 options each. Do not include answers."
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response = llm.invoke([
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{"role": "system", "content": "You are a helpful assistant."},
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{"role": "user", "content": prompt}
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])
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content = response.content if hasattr(response, 'content') else str(response)
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# Debug: Print raw content
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print("Raw Questions Content:", content)
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# Parse questions
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questions = []
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current_question = {"options": []}
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for line in content.split("\n"):
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line = line.strip()
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if line.startswith("1.") or line.startswith("2.") or line.startswith("3."):
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# Save the previous question if present
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if current_question and "question" in current_question:
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questions.append(current_question)
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current_question = {"options": []}
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current_question["question"] = line
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elif line.startswith("A)") or line.startswith("B)") or line.startswith("C)") or line.startswith("D)"):
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# Append options
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current_question["options"].append(line)
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# Add the last question if it exists
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if current_question and "question" in current_question:
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questions.append(current_question)
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return questions if questions else []
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except Exception as e:
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st.error(f"Error generating questions: {e}")
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return []
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# Function to fetch concise answers (A, B, C, D) for the provided questions
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def fetch_answers(questions):
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"""
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Fetch concise answers (A, B, C, or D) for the provided questions.
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"""
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try:
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prompt = "Provide the correct answers for the following multiple-choice questions in concise form (e.g., A, B, C, or D). Only return the letter of the correct answer for each question:\n"
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for i, question in enumerate(questions):
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prompt += f"\n{i + 1}. {question['question']}\n"
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for option in question["options"]:
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prompt += f"{option}\n"
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response = llm.invoke([
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{"role": "system", "content": "You are a helpful assistant."},
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{"role": "user", "content": prompt}
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])
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content = response.content if hasattr(response, 'content') else str(response)
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# Debug: Print raw answers content
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print("Raw Answers Content:", content)
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# Extract concise answers (e.g., A, B, C, or D)
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answers = {}
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for line in content.split("\n"):
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line = line.strip()
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if line and len(line) == 1 and line.upper() in ["A", "B", "C", "D"]:
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question_number = len(answers) # Match order with the question index
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answers[question_number] = line.upper()
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return answers
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except Exception as e:
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st.error(f"Error fetching answers: {e}")
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return {}
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# Initialize session state
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if "score" not in st.session_state:
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st.session_state.score = 0
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if "current_question" not in st.session_state:
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st.session_state.current_question = 0
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if "attempts" not in st.session_state:
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st.session_state.attempts = 0
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if "lives" not in st.session_state:
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st.session_state.lives = 3
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if "questions" not in st.session_state or not st.session_state.questions:
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st.session_state.questions = generate_questions("math", num_questions=3)
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if "answers" not in st.session_state or not st.session_state.answers:
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st.session_state.answers = fetch_answers(st.session_state.questions)
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# Function to reset the quiz
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def reset_quiz():
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st.session_state.current_question = 0
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st.session_state.score = 0
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st.session_state.attempts = 0
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st.session_state.lives = 3
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st.session_state.questions = generate_questions("math", num_questions=3)
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st.session_state.answers = fetch_answers(st.session_state.questions)
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# Main quiz logic
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st.title("Dino Game - Quiz Mode")
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st.write("Answer the questions to regain lives!")
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if st.session_state.lives > 0: # Check if the player has lives left
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if st.session_state.current_question < len(st.session_state.questions):
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current_quiz = st.session_state.questions[st.session_state.current_question]
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correct_answer = st.session_state.answers.get(st.session_state.current_question, "").lower()
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# Display the question and options
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st.write(f"**Question:** {current_quiz['question']}")
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for option in current_quiz["options"]:
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st.write(option)
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# Input for user answer
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user_answer = st.text_input("Your Answer (e.g., A, B, C, or D)", key=f"q{st.session_state.current_question}")
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if st.button("Submit", key=f"submit_{st.session_state.current_question}"):
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if user_answer:
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print("correct answer", correct_answer)
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print("user answer", user_answer.lower())
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if user_answer.lower() == correct_answer: # Compare with the correct answer
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st.success("Correct!")
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st.session_state.score += 1
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st.session_state.current_question += 1
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st.session_state.attempts = 0
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else:
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st.error("Wrong! Try again.")
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st.session_state.attempts += 1
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if st.session_state.attempts >= 3: # Max retries reached
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st.warning("Maximum attempts reached! Moving to the next question.")
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st.session_state.lives -= 1 # Decrease life if wrong attempts exceed limit
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st.session_state.current_question += 1
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st.session_state.attempts = 0
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else:
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st.warning("Please enter an answer before submitting.")
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else:
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st.write(f"Quiz completed! **Score:** {st.session_state.score}/{len(st.session_state.questions)}")
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if st.session_state.score == len(st.session_state.questions):
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st.write("You answered all questions correctly! Restoring lives.")
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st.session_state.lives = 3 # Restore lives if all questions were answered correctly
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if st.button("Restart Quiz"):
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reset_quiz()
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else:
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st.write("You have no lives left! Returning to the main game.")
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if st.button("Exit Quiz Mode"):
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# Reset quiz and return to main game
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reset_quiz()
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requirements.txt
ADDED
@@ -0,0 +1,3 @@
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1 |
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streamlit
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2 |
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langchain-groq
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3 |
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python-dotenv
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