Delete v1.txt

v1.txt

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-import gradio as gr
-import PyPDF2
-import docx
-from openai import OpenAI
-import io
-import json
-import time
-from typing import List, Dict, Any, Optional
-import spaces
-import os
-
-# Global variables to store API key and document text
-API_KEY = ""
-DOCUMENT_TEXT = ""
-MODEL = "google/gemma-3-27b-it:free"
-
-def setup_client(api_key: str):
-    """Initialize and test API key"""
-    global API_KEY
-    try:
-        if not api_key or api_key.strip() == "":
-            return "❌ Please enter a valid API key"
-            
-        # Test the API key by creating a client
-        client = OpenAI(
-            base_url="https://openrouter.ai/api/v1",
-            api_key=api_key.strip(),
-        )
-        # Store the API key globally
-        API_KEY = api_key.strip()
-        return "✅ API Key configured successfully!"
-    except Exception as e:
-        return f"❌ Error configuring API: {str(e)}"
-
-def create_client() -> Optional[OpenAI]:
-    """Create OpenAI client with stored API key"""
-    if not API_KEY:
-        return None
-    return OpenAI(
-        base_url="https://openrouter.ai/api/v1",
-        api_key=API_KEY,
-    )
-
-def extract_text_from_pdf(file_path: str) -> str:
-    """Extract text from PDF file"""
-    try:
-        with open(file_path, 'rb') as file:
-            pdf_reader = PyPDF2.PdfReader(file)
-            text = ""
-            for page_num, page in enumerate(pdf_reader.pages):
-                try:
-                    page_text = page.extract_text()
-                    if page_text:
-                        text += page_text + "\n"
-                except Exception as e:
-                    print(f"Error extracting text from page {page_num}: {e}")
-                    continue
-            return text.strip()
-    except Exception as e:
-        return f"Error reading PDF: {str(e)}"
-
-def extract_text_from_docx(file_path: str) -> str:
-    """Extract text from DOCX file"""
-    try:
-        doc = docx.Document(file_path)
-        text = ""
-        for paragraph in doc.paragraphs:
-            if paragraph.text.strip():
-                text += paragraph.text + "\n"
-        
-        # Also extract text from tables
-        for table in doc.tables:
-            for row in table.rows:
-                for cell in row.cells:
-                    if cell.text.strip():
-                        text += cell.text + "\n"
-        
-        return text.strip()
-    except Exception as e:
-        return f"Error reading DOCX: {str(e)}"
-
-def process_document(file):
-    """Process uploaded document and extract text"""
-    global DOCUMENT_TEXT
-    
-    print(f"Processing file: {file}")  # Debug print
-    
-    if file is None:
-        DOCUMENT_TEXT = ""
-        return "❌ No file uploaded", "❌ No document loaded"
-    
-    try:
-        file_path = file.name if hasattr(file, 'name') else str(file)
-        print(f"File path: {file_path}")  # Debug print
-        
-        # Check if file exists
-        if not os.path.exists(file_path):
-            DOCUMENT_TEXT = ""
-            return "❌ File not found", "❌ No document loaded"
-        
-        # Get file extension
-        file_extension = file_path.lower().split('.')[-1]
-        print(f"File extension: {file_extension}")  # Debug print
-        
-        # Extract text based on file type
-        if file_extension == 'pdf':
-            extracted_text = extract_text_from_pdf(file_path)
-        elif file_extension in ['docx', 'doc']:
-            extracted_text = extract_text_from_docx(file_path)
-        else:
-            DOCUMENT_TEXT = ""
-            return "❌ Unsupported file format. Please upload PDF or DOCX files.", "❌ No document loaded"
-        
-        print(f"Extracted text length: {len(extracted_text) if extracted_text else 0}")  # Debug print
-        
-        # Check if extraction was successful
-        if extracted_text.startswith("Error"):
-            DOCUMENT_TEXT = ""
-            return extracted_text, "❌ No document loaded"
-        
-        # Clean and set the global variable
-        DOCUMENT_TEXT = extracted_text.strip()
-        
-        if DOCUMENT_TEXT and len(DOCUMENT_TEXT) > 10:  # Minimum length check
-            word_count = len(DOCUMENT_TEXT.split())
-            char_count = len(DOCUMENT_TEXT)
-            preview = DOCUMENT_TEXT[:300] + "..." if len(DOCUMENT_TEXT) > 300 else DOCUMENT_TEXT
-            
-            status_msg = f"✅ Document loaded ({word_count} words, {char_count} characters)"
-            process_msg = f"✅ Document processed successfully!\n📄 Word count: {word_count}\n📝 Character count: {char_count}\n\n📖 Preview:\n{preview}"
-            
-            print(f"Document processed successfully. Word count: {word_count}")  # Debug print
-            return process_msg, status_msg
-        else:
-            DOCUMENT_TEXT = ""
-            return "❌ Could not extract meaningful text from the document. The document might be empty, contain only images, or be corrupted.", "❌ No document loaded"
-            
-    except Exception as e:
-        DOCUMENT_TEXT = ""
-        error_msg = f"❌ Error processing document: {str(e)}"
-        print(f"Error: {error_msg}")  # Debug print
-        return error_msg, "❌ No document loaded"
-
-def generate_content(prompt: str, max_tokens: int = 2000) -> str:
-    """Generate content using the AI model"""
-    global DOCUMENT_TEXT, API_KEY
-    
-    print(f"Generate content called. API_KEY exists: {bool(API_KEY)}, DOCUMENT_TEXT length: {len(DOCUMENT_TEXT) if DOCUMENT_TEXT else 0}")  # Debug print
-    
-    if not API_KEY or API_KEY.strip() == "":
-        return "❌ Please configure your API key first"
-    
-    if not DOCUMENT_TEXT or len(DOCUMENT_TEXT.strip()) < 10:
-        return "❌ Please upload and process a document first. Make sure the document contains readable text."
-    
-    try:
-        client = create_client()
-        if not client:
-            return "❌ Failed to create API client"
-        
-        print("Sending request to API...")  # Debug print
-        
-        completion = client.chat.completions.create(
-            extra_headers={
-                "HTTP-Referer": "https://educational-assistant.app",
-                "X-Title": "Educational Content Creator",
-            },
-            model=MODEL,
-            messages=[
-                {
-                    "role": "system",
-                    "content": "You are an expert educational content creator. Create comprehensive, engaging, and pedagogically sound educational materials based on the provided document content."
-                },
-                {
-                    "role": "user",
-                    "content": f"Document Content:\n{DOCUMENT_TEXT[:4000]}\n\n{prompt}"  # Limit document content to avoid token limits
-                }
-            ],
-            max_tokens=max_tokens,
-            temperature=0.7
-        )
-        
-        result = completion.choices[0].message.content
-        print(f"API response received. Length: {len(result) if result else 0}")  # Debug print
-        return result
-        
-    except Exception as e:
-        error_msg = f"❌ Error generating content: {str(e)}"
-        print(f"API Error: {error_msg}")  # Debug print
-        return error_msg
-
-# Content generation functions with @spaces.GPU decorator
-@spaces.GPU
-def generate_summary():
-    """Generate comprehensive summary"""
-    prompt = """Create a comprehensive summary of this document with the following structure:
-    
-    ## 📋 Executive Summary
-    Provide a brief overview in 2-3 sentences.
-    
-    ## 🎯 Key Points
-    List the main concepts, ideas, or arguments presented.
-    
-    ## 📚 Detailed Summary
-    Provide a thorough summary organized by topics or sections.
-    
-    ## 💡 Important Takeaways
-    Highlight the most crucial information students should remember.
-    """
-    return generate_content(prompt)
-
-@spaces.GPU
-def generate_study_notes():
-    """Generate structured study notes"""
-    prompt = """Create comprehensive study notes from this document with:
-    
-    ## 📖 Study Notes
-    
-    ### 🔑 Key Concepts
-    - Define important terms and concepts
-    - Explain their significance
-    
-    ### 📊 Main Topics
-    Organize content into clear sections with:
-    - Topic headings
-    - Key points under each topic
-    - Supporting details and examples
-    
-    ### 🧠 Memory Aids
-    - Create mnemonics for complex information
-    - Suggest visualization techniques
-    - Provide connection points between concepts
-    
-    ### ⚡ Quick Review Points
-    - Bullet points for rapid review
-    - Essential facts and figures
-    """
-    return generate_content(prompt)
-
-@spaces.GPU
-def generate_quiz():
-    """Generate quiz questions"""
-    prompt = """Create a comprehensive quiz based on this document:
-    
-    ## 📝 Quiz Questions
-    
-    ### Multiple Choice Questions (5 questions)
-    For each question, provide:
-    - Clear question
-    - 4 options (A, B, C, D)
-    - Correct answer
-    - Brief explanation
-    
-    ### Short Answer Questions (5 questions)
-    - Questions requiring 2-3 sentence answers
-    - Cover key concepts and applications
-    
-    ### Essay Questions (2 questions)
-    - Thought-provoking questions requiring detailed responses
-    - Focus on analysis, synthesis, or evaluation
-    
-    ### Answer Key
-    Provide all correct answers with explanations.
-    """
-    return generate_content(prompt, max_tokens=3000)
-
-@spaces.GPU
-def generate_flashcards():
-    """Generate flashcards"""
-    prompt = """Create 15-20 flashcards based on this document:
-    
-    ## 🎴 Flashcards
-    
-    Format each flashcard as:
-    **Card X:**
-    **Front:** [Question/Term]
-    **Back:** [Answer/Definition/Explanation]
-    
-    Include flashcards for:
-    - Key terms and definitions
-    - Important concepts
-    - Facts and figures
-    - Cause and effect relationships
-    - Applications and examples
-    
-    Make questions clear and answers comprehensive but concise.
-    """
-    return generate_content(prompt, max_tokens=2500)
-
-@spaces.GPU
-def generate_mind_map():
-    """Generate mind map structure"""
-    prompt = """Create a detailed mind map structure for this document:
-    
-    ## 🧠 Mind Map Structure
-    
-    **Central Topic:** [Main subject of the document]
-    
-    ### Primary Branches:
-    For each main topic, create branches with:
-    - **Branch 1:** [Topic Name]
-      - Sub-branch 1.1: [Subtopic]
-        - Detail 1.1.1
-        - Detail 1.1.2
-      - Sub-branch 1.2: [Subtopic]
-        - Detail 1.2.1
-        - Detail 1.2.2
-    
-    ### Connections:
-    - Identify relationships between different branches
-    - Note cross-references and dependencies
-    - Highlight cause-effect relationships
-    
-    ### Visual Elements Suggestions:
-    - Color coding recommendations
-    - Symbol suggestions for different types of information
-    - Emphasis techniques for key concepts
-    """
-    return generate_content(prompt)
-
-@spaces.GPU
-def generate_lesson_plan():
-    """Generate lesson plan"""
-    prompt = """Create a detailed lesson plan based on this document:
-    
-    ## 📚 Lesson Plan
-    
-    ### Learning Objectives
-    By the end of this lesson, students will be able to:
-    - [Specific, measurable objectives]
-    
-    ### Prerequisites
-    - Required background knowledge
-    - Recommended prior reading
-    
-    ### Lesson Structure (60 minutes)
-    
-    **Introduction (10 minutes)**
-    - Hook/attention grabber
-    - Learning objectives overview
-    
-    **Main Content (35 minutes)**
-    - Key concepts presentation
-    - Activities and examples
-    - Discussion points
-    
-    **Practice & Application (10 minutes)**
-    - Practice exercises
-    - Real-world applications
-    
-    **Wrap-up & Assessment (5 minutes)**
-    - Summary of key points
-    - Quick assessment questions
-    
-    ### Materials Needed
-    - List of required resources
-    
-    ### Assessment Methods
-    - How to evaluate student understanding
-    
-    ### Homework/Extension Activities
-    - Additional practice opportunities
-    """
-    return generate_content(prompt, max_tokens=2500)
-
-@spaces.GPU
-def generate_concept_explanations():
-    """Generate detailed concept explanations"""
-    prompt = """Provide detailed explanations of key concepts from this document:
-    
-    ## 🔍 Concept Deep Dive
-    
-    For each major concept, provide:
-    
-    ### Concept Name
-    **Definition:** Clear, precise definition
-    
-    **Explanation:** Detailed explanation in simple terms
-    
-    **Examples:** Real-world examples and applications
-    
-    **Analogies:** Helpful comparisons to familiar concepts
-    
-    **Common Misconceptions:** What students often get wrong
-    
-    **Connection to Other Concepts:** How it relates to other topics
-    
-    **Practice Application:** Simple exercise or question
-    
-    ---
-    
-    Repeat this structure for all major concepts in the document.
-    """
-    return generate_content(prompt, max_tokens=3000)
-
-@spaces.GPU
-def generate_practice_problems():
-    """Generate practice problems"""
-    prompt = """Create practice problems based on this document:
-    
-    ## 💪 Practice Problems
-    
-    ### Beginner Level (5 problems)
-    - Basic application of concepts
-    - Direct recall and simple calculations
-    - Step-by-step solutions provided
-    
-    ### Intermediate Level (5 problems)
-    - Multi-step problems
-    - Requires understanding of relationships
-    - Guided solutions with explanations
-    
-    ### Advanced Level (3 problems)
-    - Complex scenarios
-    - Requires analysis and synthesis
-    - Detailed solution strategies
-    
-    ### Challenge Problems (2 problems)
-    - Extension beyond document content
-    - Creative application
-    - Multiple solution approaches
-    
-    **For each problem, include:**
-    - Clear problem statement
-    - Required formulas/concepts
-    - Step-by-step solution
-    - Common mistakes to avoid
-    """
-    return generate_content(prompt, max_tokens=3500)
-
-def get_document_status():
-    """Get current document status"""
-    global DOCUMENT_TEXT
-    if DOCUMENT_TEXT and len(DOCUMENT_TEXT.strip()) > 10:
-        word_count = len(DOCUMENT_TEXT.split())
-        char_count = len(DOCUMENT_TEXT)
-        return f"✅ Document loaded ({word_count} words, {char_count} characters)"
-    else:
-        return "❌ No document loaded"
-
-def get_api_status():
-    """Get current API status"""
-    global API_KEY
-    if API_KEY and API_KEY.strip():
-        return "✅ API Key configured"
-    else:
-        return "❌ API Key not configured"
-
-# Create Gradio interface
-def create_interface():
-    with gr.Blocks(title="📚 Educational Content Creator Assistant", theme=gr.themes.Soft()) as app:
-        gr.Markdown("""
-        # 📚 Educational Content Creator Assistant
-        Transform your documents into comprehensive educational materials using AI!
-        
-        **Features:** Study Notes • Quizzes • Flashcards • Mind Maps • Lesson Plans • Practice Problems & More!
-        
-        *Powered by ZeroGPU for enhanced performance*
-        """)
-        
-        with gr.Row():
-            with gr.Column(scale=1):
-                gr.Markdown("### 🔑 Setup")
-                api_key = gr.Textbox(
-                    label="OpenRouter API Key",
-                    type="password",
-                    placeholder="Enter your OpenRouter API key...",
-                    info="Get your API key from https://openrouter.ai/"
-                )
-                setup_btn = gr.Button("🔧 Configure API", variant="primary")
-                setup_status = gr.Textbox(label="API Status", value=get_api_status(), interactive=False)
-                
-                gr.Markdown("### 📄 Document Upload")
-                file_upload = gr.File(
-                    label="Upload Document (PDF or DOCX)",
-                    file_types=[".pdf", ".docx", ".doc"],
-                    type="filepath"
-                )
-                process_btn = gr.Button("🔄 Process Document", variant="secondary")
-                process_status = gr.Textbox(label="Processing Status", interactive=False, lines=4)
-                
-                # Document status indicator
-                doc_status = gr.Textbox(
-                    label="Document Status", 
-                    value=get_document_status(), 
-                    interactive=False
-                )
-            
-            with gr.Column(scale=2):
-                gr.Markdown("### 🎯 Generate Educational Content")
-                
-                with gr.Row():
-                    summary_btn = gr.Button("📋 Generate Summary", variant="primary")
-                    notes_btn = gr.Button("📖 Study Notes", variant="primary")
-                    quiz_btn = gr.Button("📝 Create Quiz", variant="primary")
-                
-                with gr.Row():
-                    flashcards_btn = gr.Button("🎴 Flashcards", variant="secondary")
-                    mindmap_btn = gr.Button("🧠 Mind Map", variant="secondary")
-                    lesson_btn = gr.Button("📚 Lesson Plan", variant="secondary")
-                
-                with gr.Row():
-                    concepts_btn = gr.Button("🔍 Concept Explanations", variant="secondary")
-                    problems_btn = gr.Button("💪 Practice Problems", variant="secondary")
-                
-                output = gr.Textbox(
-                    label="Generated Content",
-                    lines=20,
-                    max_lines=30,
-                    placeholder="Generated educational content will appear here...",
-                    show_copy_button=True
-                )
-        
-        gr.Markdown("""
-        ### 📋 How to Use:
-        1. **Get API Key:** Sign up at [OpenRouter](https://openrouter.ai/) and get your free API key
-        2. **Configure:** Enter your API key and click "Configure API" 
-        3. **Upload:** Upload a PDF or DOCX document (make sure it contains readable text)
-        4. **Process:** Click "Process Document" to extract text
-        5. **Generate:** Choose any educational content type to generate
-        
-        ### 🎯 Content Types:
-        - **Summary:** Comprehensive overview with key points
-        - **Study Notes:** Structured notes with key concepts and memory aids
-        - **Quiz:** Multiple choice, short answer, and essay questions with answers
-        - **Flashcards:** Question-answer pairs for memorization
-        - **Mind Map:** Visual structure of document concepts
-        - **Lesson Plan:** Complete teaching plan with objectives and activities
-        - **Concept Explanations:** Deep dive into key concepts with examples
-        - **Practice Problems:** Graded exercises from beginner to advanced
-        
-        ### 💡 Tips:
-        - Make sure your PDF contains selectable text (not just images)
-        - For best results, use documents with clear structure and headings
-        - The app works with academic papers, textbooks, reports, and study materials
-        
-        ### ⚡ Performance Note:
-        This app uses ZeroGPU for enhanced processing. Functions will automatically utilize GPU resources when needed.
-        """)
-        
-        # Event handlers
-        def setup_api_and_update_status(api_key):
-            result = setup_client(api_key)
-            status = get_api_status()
-            return result, status
-        
-        setup_btn.click(
-            setup_api_and_update_status,
-            inputs=[api_key],
-            outputs=[setup_status, setup_status]
-        )
-        
-        def process_and_update_all_status(file):
-            process_result, doc_status_result = process_document(file)
-            return process_result, doc_status_result
-        
-        process_btn.click(
-            process_and_update_all_status,
-            inputs=[file_upload],
-            outputs=[process_status, doc_status]
-        )
-        
-        # Content generation button handlers
-        summary_btn.click(generate_summary, outputs=[output])
-        notes_btn.click(generate_study_notes, outputs=[output])
-        quiz_btn.click(generate_quiz, outputs=[output])
-        flashcards_btn.click(generate_flashcards, outputs=[output])
-        mindmap_btn.click(generate_mind_map, outputs=[output])
-        lesson_btn.click(generate_lesson_plan, outputs=[output])
-        concepts_btn.click(generate_concept_explanations, outputs=[output])
-        problems_btn.click(generate_practice_problems, outputs=[output])
-        
-        # Update status on app load
-        def update_initial_status():
-            return get_api_status(), get_document_status()
-        
-        app.load(
-            update_initial_status,
-            outputs=[setup_status, doc_status]
-        )
-    
-    return app
-
-# Launch the application
-if __name__ == "__main__":
-    app = create_interface()
-    app.launch(
-        debug=True,
-        share=False
-    )