Delete app-BACKUP.py

app-BACKUP.py

@@ -1,137 +0,0 @@
-import streamlit as st
-from langchain.prompts import PromptTemplate
-from langchain.chains import LLMChain
-from langchain_google_genai import ChatGoogleGenerativeAI
-import fitz
-import json
-import docx
-import os
-
-
-# Title
-st.title("📄 File-based MCQ Generator")
-
-# Sidebar
-st.sidebar.title("Upload & Settings")
-
-# Upload file
-uploaded_file = st.sidebar.file_uploader("Upload a file (PDF or Word)", type=["pdf", "docx"])
-
-# Number of questions
-number_of_questions = st.sidebar.slider("Number of questions", min_value=1, max_value=20, value=5)
-
-# Session states
-if "mcqs" not in st.session_state:
-    st.session_state.mcqs = []
-if "current_q" not in st.session_state:
-    st.session_state.current_q = 0
-if "user_answers" not in st.session_state:
-    st.session_state.user_answers = {}
-if "quiz_finished" not in st.session_state:
-    st.session_state.quiz_finished = False
-
-# Gemini setup
-GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
-llm = ChatGoogleGenerativeAI(
-    model="gemini-2.0-flash",
-    google_api_key=GOOGLE_API_KEY,
-    temperature=0.7
-)
-
-template = """
-You are an expert MCQ generator. Generate {number} unique multiple-choice questions from the given text.
-Each question must have exactly 1 correct answer and 3 incorrect options.
-Strictly return output in the following JSON format (no explanations, no markdown):
-
-[
-  {{
-    "question": "What is ...?",
-    "options": ["Option A", "Option B", "Option C", "Option D"],
-    "answer": "Option D"
-  }},
-  ...
-]
-
-TEXT:
-{text}
-"""
-
-
-prompt = PromptTemplate(
-    input_variables=["text", "number"],
-    template=template
-)
-
-mcq_chain = LLMChain(llm=llm, prompt=prompt)
-
-# Extract text from PDF or Word
-def extract_text(file):
-    if file.name.endswith(".pdf"):
-        # Read the entire file content into memory
-        file_bytes = file.read()
-        # Open the PDF from the byte stream
-        doc = fitz.open(stream=file_bytes, filetype="pdf")
-        # Extract text from all pages
-        text = ""
-        for page in doc:
-            text += page.get_text()
-        return text
-    elif file.name.endswith(".docx"):
-        doc = docx.Document(file)
-        return "\n".join([para.text for para in doc.paragraphs])
-    return ""
-
-# Generate MCQs
-if st.sidebar.button("Generate MCQs"):
-    if uploaded_file is None:
-        st.error("Please upload a file.")
-    else:
-        with st.spinner("Extracting text and generating MCQs..."):
-            text = extract_text(uploaded_file)
-            try:
-                response = mcq_chain.run(text=text, number=str(number_of_questions))
-                mcqs_json = json.loads(response[8:-3])
-                st.session_state.mcqs = mcqs_json
-                st.session_state.current_q = 0
-                st.session_state.user_answers = {}
-                st.session_state.quiz_finished = False
-                st.success("✅ MCQs generated successfully!")
-            except Exception as e:
-                st.error(f"Error generating MCQs: {e}")
-
-# Display question
-if st.session_state.mcqs and not st.session_state.quiz_finished:
-    idx = st.session_state.current_q
-    q_data = st.session_state.mcqs[idx]
-
-    st.subheader(f"Question {idx + 1}: {q_data['question']}")
-    
-    with st.form(key=f"form_{idx}"):
-        selected_option = st.radio("Choose an answer:", q_data["options"], key=f"radio_{idx}")
-        submitted = st.form_submit_button("Next")
-
-        if submitted:
-            st.session_state.user_answers[idx] = selected_option
-            if idx < len(st.session_state.mcqs) - 1:
-                st.session_state.current_q += 1
-            else:
-                st.session_state.quiz_finished = True
-                st.success("🎉 Quiz completed!")
-
-# Show result
-if st.session_state.quiz_finished:
-    st.header("📊 Quiz Results")
-    score = 0
-    total = len(st.session_state.mcqs)
-
-    for i, q in enumerate(st.session_state.mcqs):
-        user_ans = st.session_state.user_answers.get(i)
-        correct_ans = q["answer"]
-        if user_ans == correct_ans:
-            score += 1
-        st.markdown(f"**Q{i+1}: {q['question']}**")
-        st.markdown(f"- Your answer: {user_ans}")
-        st.markdown(f"- Correct answer: {correct_ans}")
-        st.markdown("---")
-
-    st.success(f"✅ You scored {score} out of {total}")