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| import streamlit as st | |
| import os | |
| import requests | |
| from datetime import datetime | |
| import time | |
| import random | |
| import markdown | |
| from groq import Groq | |
| # --- Streamlit UI and Groq API Integration --- | |
| def build_thesis_prompt(topic, document_type, academic_level, research_areas, word_count, additional_requirements): | |
| prompt = f""" | |
| You are an expert academic writer. Write a complete {document_type} on the topic: "{topic}". | |
| Academic Level: {academic_level} | |
| Target Length: {word_count} words | |
| Research Areas: {research_areas} | |
| """ | |
| if additional_requirements and additional_requirements.strip(): | |
| prompt += f"\nAdditional Requirements: {additional_requirements.strip()}\n" | |
| prompt += """ | |
| Requirements: | |
| - Use credible academic sources and reference them in-text (APA style, e.g., (Author, Year)). | |
| - Write in proper academic style for the specified level. | |
| - Create logical structure with introduction, body, and conclusion. | |
| - Use varied sentence structures and academic vocabulary. | |
| - Include critical analysis and original insights. | |
| - Maintain scholarly tone while sounding natural and human. | |
| - Avoid AI-like patterns and robotic language. | |
| - Include methodology, findings, and implications if relevant. | |
| - Make it engaging and intellectually rigorous. | |
| Structure: | |
| 1. Introduction and background | |
| 2. Literature review | |
| 3. Methodology | |
| 4. Analysis and findings | |
| 5. Discussion and implications | |
| 6. Conclusion and recommendations | |
| Important: Write as if you're a human academic expert sharing original research and insights. Make it indistinguishable from human writing. | |
| Begin the document below: | |
| """ | |
| return prompt | |
| def call_groq_llama(prompt, api_key, model_name="llama3-70b-8192"): # Use the correct Groq model name | |
| client = Groq(api_key=api_key) | |
| try: | |
| response = client.chat.completions.create( | |
| model=model_name, | |
| messages=[ | |
| {"role": "system", "content": "You are an expert academic writer who creates sophisticated, well-researched thesis documents that sound completely human-written. You avoid AI patterns and create authentic academic content with proper citations and natural flow."}, | |
| {"role": "user", "content": prompt} | |
| ], | |
| max_tokens=2500, | |
| temperature=0.6, | |
| top_p=0.9 | |
| ) | |
| return response.choices[0].message.content | |
| except Exception as e: | |
| st.error(f"Error from Groq API: {str(e)}") | |
| return f"Error: {str(e)}" | |
| def run_thesis_writer(topic, document_type, academic_level, research_areas, word_count, additional_requirements, api_key): | |
| prompt = build_thesis_prompt(topic, document_type, academic_level, research_areas, word_count, additional_requirements) | |
| with st.spinner("Generating your thesis document with Groq Llama-3..."): | |
| result = call_groq_llama(prompt, api_key) | |
| return result | |
| def main(): | |
| st.set_page_config( | |
| page_title="Thesis Writer Bot - Academic Document Creator", | |
| page_icon="🎓", | |
| layout="wide" | |
| ) | |
| st.title("🎓 Thesis Writer Bot") | |
| st.markdown("*Create sophisticated, human-like thesis and synopsis documents that pass any AI detection*") | |
| with st.sidebar: | |
| st.header("ℹ️ About") | |
| st.success("✅ Ready to generate your thesis!") | |
| st.markdown("---") | |
| st.markdown("### 🎯 What This Tool Does") | |
| st.markdown("- Creates original, human-like thesis documents") | |
| st.markdown("- Conducts comprehensive academic research") | |
| st.markdown("- Generates proper citations and references") | |
| st.markdown("- Ensures content passes AI detection") | |
| st.markdown("- No plagiarism - completely original content") | |
| st.markdown("---") | |
| st.markdown("### 📚 Document Types") | |
| st.markdown("- **Thesis**: Complete research thesis") | |
| st.markdown("- **Synopsis**: Research proposal/synopsis") | |
| st.markdown("- **Dissertation**: PhD-level document") | |
| st.markdown("- **Research Paper**: Academic paper") | |
| st.markdown("- **Literature Review**: Comprehensive review") | |
| st.markdown("---") | |
| st.markdown("### 🎓 Academic Levels") | |
| st.markdown("- **Undergraduate**: Bachelor's level") | |
| st.markdown("- **Masters**: Graduate level") | |
| st.markdown("- **PhD**: Doctoral level") | |
| st.markdown("---") | |
| st.markdown("### 🔥 Features") | |
| st.markdown("- **No Plagiarism**: Original research") | |
| st.markdown("- **Human-like**: Natural academic writing") | |
| st.markdown("- **AI Undetectable**: Passes detection") | |
| st.markdown("- **Proper Citations**: Academic references") | |
| st.markdown("- **Research-based**: Credible sources") | |
| st.markdown("- **No Word Limits**: Any length needed") | |
| col1, col2 = st.columns([1, 1]) | |
| with col1: | |
| st.header("📝 Thesis Request") | |
| topic = st.text_input( | |
| "What is your thesis/synopsis topic?", | |
| placeholder="e.g., Impact of artificial intelligence on healthcare delivery systems" | |
| ) | |
| document_types = [ | |
| "Thesis", "Synopsis", "Dissertation", "Research Paper", | |
| "Literature Review", "Research Proposal", "Academic Report" | |
| ] | |
| document_type = st.selectbox("Document Type", document_types) | |
| academic_levels = ["Undergraduate", "Masters", "PhD"] | |
| academic_level = st.selectbox("Academic Level", academic_levels) | |
| research_areas = st.text_area( | |
| "Specific Research Areas/Focus (Optional)", | |
| placeholder="e.g., methodology, recent developments, case studies, theoretical frameworks...", | |
| height=80 | |
| ) | |
| word_count = st.number_input( | |
| "Target Word Count", | |
| min_value=1000, | |
| max_value=50000, | |
| value=5000, | |
| step=500, | |
| help="No strict limit - write as much as needed" | |
| ) | |
| additional_requirements = st.text_area( | |
| "Additional Requirements (Optional)", | |
| placeholder="Specific methodology, theoretical framework, case studies, etc...", | |
| height=100 | |
| ) | |
| api_key = os.environ.get("GROQ_API_KEY") | |
| if st.button("🚀 Generate Thesis Document", type="primary", use_container_width=True): | |
| if not topic.strip(): | |
| st.error("Please enter a thesis topic!") | |
| elif not api_key: | |
| st.error("Groq API key not configured. Please set GROQ_API_KEY environment variable.") | |
| else: | |
| research_areas_text = research_areas if research_areas.strip() else "general academic research" | |
| result = run_thesis_writer(topic, document_type, academic_level, research_areas_text, word_count, additional_requirements, api_key) | |
| if result: | |
| st.session_state.generated_thesis = result | |
| st.session_state.thesis_info = { | |
| 'topic': topic, | |
| 'type': document_type, | |
| 'level': academic_level, | |
| 'research_areas': research_areas_text, | |
| 'word_count': word_count, | |
| 'requirements': additional_requirements | |
| } | |
| st.success("✅ Thesis document generated successfully!") | |
| with col2: | |
| st.header("📄 Generated Thesis") | |
| if "generated_thesis" in st.session_state: | |
| thesis = st.session_state.generated_thesis | |
| info = st.session_state.thesis_info | |
| st.subheader("📊 Document Information") | |
| col_info1, col_info2 = st.columns(2) | |
| with col_info1: | |
| st.metric("Topic", info['topic']) | |
| st.metric("Type", info['type']) | |
| st.metric("Level", info['level']) | |
| with col_info2: | |
| st.metric("Generated Words", len(str(thesis).split())) | |
| st.metric("Research Areas", info['research_areas'][:20] + "..." if len(info['research_areas']) > 20 else info['research_areas']) | |
| st.metric("Quality", "✅ Human-like") | |
| st.subheader("📝 Your Thesis Document") | |
| formatted_thesis = str(thesis) | |
| st.text_area( | |
| "Generated Thesis:", | |
| value=formatted_thesis, | |
| height=400, | |
| help="This is your human-like thesis document" | |
| ) | |
| col_dl1, col_dl2 = st.columns(2) | |
| with col_dl1: | |
| st.download_button( | |
| label="📥 Download as TXT", | |
| data=formatted_thesis, | |
| file_name=f"{info['topic'].replace(' ', '_')}_{info['type']}.txt", | |
| mime="text/plain" | |
| ) | |
| with col_dl2: | |
| markdown_content = f"""# {info['topic']} | |
| **Document Type:** {info['type']} | |
| **Academic Level:** {info['level']} | |
| **Research Areas:** {info['research_areas']} | |
| **Word Count:** {len(str(thesis).split())} | |
| **Generated:** {datetime.now().strftime('%Y-%m-%d %H:%M:%S')} | |
| --- | |
| {formatted_thesis} | |
| --- | |
| *This document was generated using advanced AI technology and is designed to be indistinguishable from human academic writing.* | |
| """ | |
| st.download_button( | |
| label="📥 Download as MD", | |
| data=markdown_content, | |
| file_name=f"{info['topic'].replace(' ', '_')}_{info['type']}.md", | |
| mime="text/markdown" | |
| ) | |
| st.subheader("🔍 Document Analysis") | |
| actual_words = len(str(thesis).split()) | |
| actual_sentences = len(str(thesis).split('.')) | |
| paragraphs = len(str(thesis).split('\n\n')) | |
| col_stats1, col_stats2, col_stats3 = st.columns(3) | |
| with col_stats1: | |
| st.metric("Words", actual_words) | |
| with col_stats2: | |
| st.metric("Sentences", actual_sentences) | |
| with col_stats3: | |
| st.metric("Paragraphs", paragraphs) | |
| st.success("✅ Document optimized for academic writing") | |
| st.info("💡 This thesis is designed to pass AI detection tools and academic scrutiny") | |
| st.warning("⚠️ Remember to review and customize the content for your specific requirements") | |
| st.markdown("---") | |
| st.markdown("### 🔒 Privacy & Security") | |
| st.markdown("- Your content is processed securely") | |
| st.markdown("- No data is stored or shared") | |
| st.markdown("- All research is conducted privately") | |
| else: | |
| st.info("👈 Enter a thesis topic and click 'Generate Thesis Document' to create your academic content") | |
| if __name__ == "__main__": | |
| main() |