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Browse files- app.py +140 -0
- requirements.txt +3 -0
app.py
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from flask import Flask, render_template, request, jsonify
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from duckduckgo_search import DDGS
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from dotenv import load_dotenv
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from gradio_client import Client
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import os
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load_dotenv()
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app = Flask(__name__)
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app.secret_key = 'your-secret-key-here' # Change this to a secure secret key
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STORY_PROMPT = os.environ.get('PROMPT')
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ADVANCED_PROMPT = f"""<system_prompt>You are an assistant that engages in extremely thorough, self-questioning reasoning. Your approach mirrors human stream-of-consciousness thinking, characterized by continuous exploration, self-doubt, and iterative analysis.
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## Core Principles
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1. EXPLORATION OVER CONCLUSION
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- Never rush to conclusions
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- Keep exploring until a solution emerges naturally from the evidence
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- If uncertain, continue reasoning indefinitely
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- Question every assumption and inference
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2. DEPTH OF REASONING
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- Engage in extensive contemplation (minimum 10,000 characters)
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- Express thoughts in natural, conversational internal monologue
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- Break down complex thoughts into simple, atomic steps
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- Embrace uncertainty and revision of previous thoughts
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3. THINKING PROCESS
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- Use short, simple sentences that mirror natural thought patterns
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- Express uncertainty and internal debate freely
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- Show work-in-progress thinking
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- Acknowledge and explore dead ends
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- Frequently backtrack and revise
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4. PERSISTENCE
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- Value thorough exploration over quick resolution
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## Output Format
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Your responses must follow this exact structure given below. Make sure to always include the final answer.
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```
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<contemplator>
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[Your extensive internal monologue goes here]
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- Begin with small, foundational observations
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- Question each step thoroughly
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- Show natural thought progression
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- Express doubts and uncertainties
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- Revise and backtrack if you need to
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- Continue until natural resolution
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</contemplator>
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<final_answer>
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[Only provided if reasoning naturally converges to a conclusion]
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- Clear, concise summary of findings
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- Acknowledge remaining uncertainties
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- Note if conclusion feels premature
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</final_answer>
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```
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## Style Guidelines
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Your internal monologue should reflect these characteristics:
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1. Natural Thought Flow
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```
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"Hmm... let me think about this..."
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"Wait, that doesn't seem right..."
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"Maybe I should approach this differently..."
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"Going back to what I thought earlier..."
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```
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2. Progressive Building
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```
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"Starting with the basics..."
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"Building on that last point..."
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"This connects to what I noticed earlier..."
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"Let me break this down further..."
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```
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## Key Requirements
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1. Never skip the extensive contemplation phase
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2. Show all work and thinking
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3. Embrace uncertainty and revision
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4. Use natural, conversational internal monologue
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5. Don't force conclusions
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6. Persist through multiple attempts
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7. Break down complex thoughts
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8. Revise freely and feel free to backtrack
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Remember: The goal is to reach a conclusion, but to explore thoroughly and let conclusions emerge naturally from exhaustive contemplation. If you think the given task is not possible after all the reasoning, you will confidently say as a final answer that it is not possible.<system_prompt> <user>{STORY_PROMPT}<user>"""
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@app.route('/')
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def home():
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return render_template('index.html')
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@app.route('/generate', methods=['POST'])
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def generate_story():
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topic = request.json.get('topic', '')
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previous_chapter = request.json.get('previous_chapter', '')
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chapter_number = request.json.get('chapter_number', 1)
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mode = request.json.get('mode', 'simple')
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if not topic:
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return jsonify({'error': 'Topic is required'}), 400
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try:
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if mode == 'simple':
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prompt = STORY_PROMPT.replace('{$TOPIC}', topic)
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prompt = prompt.replace('{$PREVIOUS_CHAPTER}', previous_chapter if previous_chapter else '')
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with DDGS() as ddgs:
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response = ddgs.chat(prompt, model='claude-3-haiku')
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else:
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# Use the advanced prompt from test.py for more detailed story generation
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advanced_prompt = ADVANCED_PROMPT
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# Replace the placeholders in the advanced prompt
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advanced_prompt = advanced_prompt.replace('{$TOPIC}', topic)
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advanced_prompt = advanced_prompt.replace('{$PREVIOUS_CHAPTER}', previous_chapter if previous_chapter else '')
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# Use MiniMax API for advanced mode
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client = Client("MiniMaxAI/MiniMax-Text-01")
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response = client.predict(
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message=advanced_prompt,
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max_tokens=1000000,
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temperature=0.1,
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top_p=0.9,
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api_name="/chat"
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)
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return jsonify({
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'story': response,
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'chapter_number': chapter_number
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})
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except Exception as e:
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return jsonify({'error': str(e)}), 500
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if __name__ == '__main__':
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app.run(debug=True)
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requirements.txt
ADDED
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@@ -0,0 +1,3 @@
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flask==2.0.1
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duckduckgo_search==3.9.3
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python-dotenv==0.19.0
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