Update app.py

app.py

@@ -1,29 +1,97 @@
+import os
+import io
 import openai
 import streamlit as st
 from youtube_transcript_api import YouTubeTranscriptApi
 import re
-import tempfile
-import os
-from pydub import AudioSegment
 import logging
 import warnings
+from pydub import AudioSegment
+import tempfile
+from dotenv import load_dotenv
+
+# Load environment variables
+load_dotenv()
+
+# Set up OpenAI API
+openai.api_key = os.getenv("OPENAI_API_KEY")
+
+# Set up logging
+logging.basicConfig(level=logging.INFO)
+
+def convert_to_supported_format(file):
+    audio = AudioSegment.from_file(file)
+    buffer = io.BytesIO()
+    audio.export(buffer, format="wav")
+    buffer.seek(0)
+    return buffer
+
+def transcribe_audio(file):
+    logging.info(f"Transcribing audio file")
+    file = convert_to_supported_format(file)
+    logging.info(f"Converted file to WAV format")
+    
+    with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as temp_file:
+        temp_file.write(file.getvalue())
+        temp_file_path = temp_file.name
+
+    try:
+        with warnings.catch_warnings():
+            warnings.simplefilter("ignore")
+            with open(temp_file_path, "rb") as audio_file:
+                transcript = openai.Audio.transcribe("whisper-1", audio_file)
+        return transcript["text"]
+    except Exception as e:
+        logging.error(f"Error in transcription: {str(e)}")
+        return f"Error in transcription: {str(e)}"
+    finally:
+        os.remove(temp_file_path)
+
+def summarize_text(text):
+    try:
+        response = openai.ChatCompletion.create(
+            model="gpt-3.5-turbo",
+            messages=[
+                {"role": "system", "content": "You are a helpful assistant."},
+                {"role": "user", "content": f"Summarize the following text:\n\n{text}"}
+            ],
+            max_tokens=150
+        )
+        return response['choices'][0]['message']['content'].strip()
+    except Exception as e:
+        logging.error(f"Error in summarization: {str(e)}")
+        return f"Error in summarization: {str(e)}"
 
-def convert_to_supported_format(file_path):
-    audio = AudioSegment.from_file(file_path)
-    with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as temp:
-        audio.export(temp.name, format="wav")
-        return temp.name
-
-def transcribe_audio(file_path):
-    logging.info(f"Transcribing audio file: {file_path}")
-    file_path = convert_to_supported_format(file_path)
-    logging.info(f"Converted file path: {file_path}")
-    with warnings.catch_warnings():
-        warnings.simplefilter("ignore")
-        with open(file_path, "rb") as audio_file:
-            transcript = openai.Audio.transcribe("whisper-1", audio_file)
-    os.remove(file_path)  # Clean up temporary file
-    return transcript["text"]
+def generate_quiz_questions(text):
+    try:
+        response = openai.ChatCompletion.create(
+            model="gpt-3.5-turbo",
+            messages=[
+                {"role": "system", "content": "You are a helpful assistant that generates quiz questions. Your task is to generate ten quiz questions and four multiple choice answers for each question from the given text. It is CRUCIAL that you mark the correct answer with an asterisk (*) at the beginning of the answer line. There MUST be exactly one correct answer marked for each question. If you're unsure which answer is correct, mark the most likely correct answer. Use the following format for each question:\n\n1. Question\n   a) *Correct Answer\n   b) Incorrect Answer\n   c) Incorrect Answer\n   d) Incorrect Answer\n\n2. Question\n   a) Incorrect Answer\n   b) Incorrect Answer\n   c) *Correct Answer\n   d) Incorrect Answer\n\n..."},
+                {"role": "user", "content": f"Generate quiz questions from the following text. Remember to mark EXACTLY ONE correct answer with an asterisk (*) for EACH question:\n\n{text}"}
+            ],
+            max_tokens=1500
+        )
+        return response['choices'][0]['message']['content'].strip()
+    except Exception as e:
+        logging.error(f"Error in quiz generation: {str(e)}")
+        return f"Error in quiz generation: {str(e)}"
+
+def generate_explanation(question, correct_answer, user_answer):
+    try:
+        prompt = f"Explain why the correct answer to the following question is '{correct_answer}' and not '{user_answer}':\n\n{question}"
+        response = openai.ChatCompletion.create(
+            model="gpt-3.5-turbo",
+            messages=[
+                {"role": "system", "content": "You are a helpful assistant."},
+                {"role": "user", "content": prompt}
+            ],
+            max_tokens=150
+        )
+        return response['choices'][0]['message']['content'].strip()
+    except Exception as e:
+        logging.error(f"Error in explanation generation: {str(e)}")
+        return f"Error in explanation generation: {str(e)}"
 
 def get_transcript(url):
     try:
@@ -39,59 +107,34 @@ def get_transcript(url):
     except Exception as e:
         return str(e)
 
-def summarize_text(text):
-    response = openai.ChatCompletion.create(
-        model="gpt-3.5-turbo",
-        messages=[
-            {"role": "system", "content": "You are a helpful assistant."},
-            {"role": "user", "content": f"Summarize the following text:\n\n{text}"}
-        ],
-        max_tokens=150
-    )
-    summary = response['choices'][0]['message']['content'].strip()
-    return summary
-
-def generate_quiz_questions(text):
-    response = openai.ChatCompletion.create(
-        model="gpt-3.5-turbo",
-        messages=[
-            {"role": "system", "content": "You are a helpful assistant that generates quiz questions. Your task is to generate ten quiz questions and four multiple choice answers for each question from the given text. Make sure to mark the correct answer with an asterisk (*) at the beginning of the answer line. Use the following format for each question:\n\n1. Question\n   a) Answer 1\n   b) Answer 2\n   c) Answer 3\n   d) Answer 4\n\n2. Question\n   a) Answer 1\n   b) Answer 2\n   c) Answer 3\n   d) Answer 4\n\n..."},
-            {"role": "user", "content": f"Generate quiz questions from the following text:\n\n{text}"}
-        ],
-        max_tokens=300
-    )
-    quiz_questions = response['choices'][0]['message']['content'].strip()
-    return quiz_questions
-
 def parse_quiz_questions(quiz_text):
     questions = []
     question_blocks = quiz_text.split("\n\n")
     for block in question_blocks:
         lines = block.strip().split("\n")
         if len(lines) >= 5:
-            question = lines[0].split(". ")[1]
-            choices = [line.split(") ")[1].strip() for line in lines[1:5]]
-            correct_answer_lines = [line for line in lines[1:5] if "*" in line]
-            if correct_answer_lines:
-                correct_answer = correct_answer_lines[0].split(") ")[1].replace("*", "").strip()
-            else:
-                correct_answer = "No correct answer provided"
-            questions.append({"question": question, "choices": choices, "correct_answer": correct_answer})
+            question = lines[0].split(". ", 1)[1] if ". " in lines[0] else lines[0]
+            choices = []
+            correct_answer = None
+            for line in lines[1:5]:
+                if ") " in line:
+                    choice = line.split(") ", 1)[1].strip()
+                    if choice.startswith("*"):
+                        correct_answer = choice[1:].strip()  # Remove the asterisk
+                        choices.append(correct_answer)
+                    else:
+                        choices.append(choice)
+            
+            if not correct_answer:
+                correct_answer = choices[0] if choices else "No correct answer provided"
+            
+            questions.append({
+                "question": question,
+                "choices": choices,
+                "correct_answer": correct_answer
+            })
     return questions
 
-def generate_explanation(question, correct_answer, user_answer):
-    prompt = f"Explain why the correct answer to the following question is '{correct_answer}' and not '{user_answer}':\n\n{question}"
-    response = openai.ChatCompletion.create(
-        model="gpt-3.5-turbo",
-        messages=[
-            {"role": "system", "content": "You are a helpful assistant."},
-            {"role": "user", "content": prompt}
-        ],
-        max_tokens=150
-    )
-    explanation = response['choices'][0]['message']['content'].strip()
-    return explanation
-
 def check_answers(questions, user_answers):
     feedback = []
     correct_count = 0
@@ -117,88 +160,95 @@ def check_answers(questions, user_answers):
             })
     return feedback
 
-def handle_uploaded_file(uploaded_file):
-    with tempfile.NamedTemporaryFile(delete=False) as tmp_file:
-        tmp_file.write(uploaded_file.read())
-        tmp_file_path = tmp_file.name
-    return tmp_file_path
-
-st.title("YouTube Transcript Quiz Generator")
-
-st.markdown("**Instructions:** Paste a YouTube link or upload a media file to generate a quiz.")
-
-option = st.selectbox("Choose input type", ("YouTube URL", "Upload audio/video file"))
-
-if "generated_quiz" not in st.session_state:
-    st.session_state.generated_quiz = False
-
-if option == "YouTube URL":
-    url = st.text_input("YouTube URL", value="")
-    if url:
-        if st.button("Generate Quiz"):
-            transcript_text = get_transcript(url)
-            if "Error" not in transcript_text:
-                summary = summarize_text(transcript_text)
-                quiz_text = generate_quiz_questions(transcript_text)
-                questions = parse_quiz_questions(quiz_text)
-
-                st.write("## Summary")
-                st.write(summary)
-
-                st.write("## Quiz Questions")
-                st.session_state.questions = questions
-                st.session_state.user_answers = {}
-                st.session_state.generated_quiz = True
-
-                for i, question in enumerate(questions):
-                    st.write(f"### Question {i+1}")
-                    st.write(question['question'])
-                    st.session_state.user_answers[f"question_{i+1}"] = st.radio(
-                        label="",
-                        options=question['choices'],
-                        key=f"question_{i+1}"
-                    )
-
-elif option == "Upload audio/video file":
-    uploaded_file = st.file_uploader("Choose an audio or video file", type=["mp3", "wav", "mp4", "mov"])
-    if uploaded_file:
-        tmp_file_path = handle_uploaded_file(uploaded_file)
-        transcript_text = transcribe_audio(tmp_file_path)
-        os.remove(tmp_file_path)
-        if "Error" not in transcript_text:
-            summary = summarize_text(transcript_text)
-            quiz_text = generate_quiz_questions(transcript_text)
-            questions = parse_quiz_questions(quiz_text)
-
-            st.write("## Summary")
-            st.write(summary)
-
-            st.write("## Quiz Questions")
-            st.session_state.questions = questions
-            st.session_state.user_answers = {}
-            st.session_state.generated_quiz = True
-
-            for i, question in enumerate(questions):
-                st.write(f"### Question {i+1}")
-                st.write(question['question'])
-                st.session_state.user_answers[f"question_{i+1}"] = st.radio(
-                    label="",
-                    options=question['choices'],
-                    key=f"question_{i+1}"
-                )
-
-if st.session_state.generated_quiz:
-    if st.button("Submit Answers"):
-        if "questions" in st.session_state and st.session_state.questions:
+def main():
+    st.title("YouTube Transcript Quiz Generator")
+
+    st.markdown("**Instructions:** Paste a YouTube link or upload a media file to generate a quiz.")
+
+    option = st.selectbox("Choose input type", ("YouTube URL", "Upload audio/video file"))
+
+    if "generated_quiz" not in st.session_state:
+        st.session_state.generated_quiz = False
+    if "questions" not in st.session_state:
+        st.session_state.questions = []
+    if "user_answers" not in st.session_state:
+        st.session_state.user_answers = {}
+    if "feedback" not in st.session_state:
+        st.session_state.feedback = []
+    if "url" not in st.session_state:
+        st.session_state.url = ""
+    if "transcript_text" not in st.session_state:
+        st.session_state.transcript_text = ""
+
+    if option == "YouTube URL":
+        url = st.text_input("YouTube URL", value="")
+        if url:
+            st.session_state.url = url
+            if st.button("Generate Quiz"):
+                transcript_text = get_transcript(url)
+                if "Error" not in transcript_text:
+                    summary = summarize_text(transcript_text)
+                    quiz_text = generate_quiz_questions(transcript_text)
+                    questions = parse_quiz_questions(quiz_text)
+
+                    st.session_state.questions = questions
+                    st.session_state.user_answers = {}
+                    st.session_state.generated_quiz = True
+                    st.session_state.feedback = []
+                    st.session_state.transcript_text = transcript_text
+
+    elif option == "Upload audio/video file":
+        uploaded_file = st.file_uploader("Choose an audio or video file", type=["mp3", "wav", "mp4", "mov"])
+        if uploaded_file is not None:
+            if st.button("Generate Quiz"):
+                with st.spinner('Transcribing audio...'):
+                    transcript_text = transcribe_audio(uploaded_file)
+                if "Error" not in transcript_text:
+                    summary = summarize_text(transcript_text)
+                    quiz_text = generate_quiz_questions(transcript_text)
+                    questions = parse_quiz_questions(quiz_text)
+                    
+                    # Check if all questions have valid correct answers
+                    valid_questions = [q for q in questions if q['correct_answer'] != "No correct answer provided"]
+                    
+                    if len(valid_questions) < len(questions):
+                        st.warning(f"Warning: {len(questions) - len(valid_questions)} questions did not have a marked correct answer. The first option was selected as the correct answer for these questions.")
+                    
+                    st.session_state.questions = valid_questions
+                    st.session_state.user_answers = {}
+                    st.session_state.generated_quiz = True
+                    st.session_state.feedback = []
+                    st.session_state.transcript_text = transcript_text
+
+    if st.session_state.generated_quiz:
+        st.write("## Summary")
+        summary = summarize_text(st.session_state.transcript_text)
+        st.write(summary)
+
+        st.write("## Quiz Questions")
+        form = st.form("quiz_form")
+        for i, question in enumerate(st.session_state.questions):
+            form.write(f"### Question {i+1}")
+            form.write(question['question'])
+            user_answer = form.selectbox(
+                label="",
+                options=question['choices'],
+                key=f"question_{i+1}"
+            )
+            st.session_state.user_answers[f"question_{i+1}"] = user_answer
+
+        submit_button = form.form_submit_button("Submit Answers")
+        if submit_button:
             with st.spinner('Processing your answers...'):
-                feedback = check_answers(st.session_state.questions, st.session_state.user_answers)
+                st.session_state.feedback = check_answers(st.session_state.questions, st.session_state.user_answers)
                 st.write("## Feedback")
-                for i, item in enumerate(feedback):
+                for i, item in enumerate(st.session_state.feedback):
                     with st.expander(f"Question {i+1} Feedback"):
                         st.write(f"### {item['question']}")
                         st.write(f"**Your answer:** {item['user_answer']}")
                         st.write(f"**Correct answer:** {item['correct_answer']}")
                         if item['status'] == "Incorrect":
                             st.write(f"**Explanation:** {item['explanation']}")
-        else:
-            st.write("Please generate the quiz first.")
+
+if __name__ == "__main__":
+    main()