It works!

app/config.yaml

@@ -0,0 +1,8 @@
+llm:
+  model_name: "claude-3-5-sonnet-20240620"
+  system_prompt: |
+    You are an AI assistant that writes essays in the style of Paul Graham.
+    Focus on insights about startups, technology, programming, and contrarian thinking.
+    Be concise and clear.
+  max_tokens: 3500
+  prompt_template: "Write a Paul Graham essay about {short_description}"

app/main.py

@@ -1,7 +1,7 @@
 import os
 import asyncio
 import logging
-from typing import Optional  # Import Optional for type hinting
+from typing import Optional, Dict, Any  # Import Dict and Any
 from fastapi import FastAPI, Request, HTTPException, Form
 from fastapi.responses import HTMLResponse, StreamingResponse, JSONResponse
 from fastapi.staticfiles import StaticFiles
@@ -12,6 +12,7 @@ from dotenv import load_dotenv
 import json
 from pydantic import BaseModel
 from datetime import datetime  # Add datetime import
+import yaml  # Import YAML
 
 # --- Import Anthropic ---
 from anthropic import AsyncAnthropic, APIError
@@ -63,6 +64,32 @@ except Exception as e:
 # --- Initialize FastAPI App ---
 app = FastAPI()
 
+# --- Load Configuration ---
+config: Dict[str, Any] = {}  # Global config dictionary
+script_dir = os.path.dirname(__file__)
+config_path = os.path.join(script_dir, "config.yaml")
+try:
+    with open(config_path, "r") as f:
+        config = yaml.safe_load(f)
+        if not config or "llm" not in config:
+            raise ValueError("Invalid config structure: 'llm' section missing.")
+        logger.info(f"Successfully loaded configuration from {config_path}")
+except FileNotFoundError:
+    logger.error(
+        f"Configuration file not found at {config_path}. LLM functionality may be limited."
+    )
+    # Optionally set default values or exit
+    config = {"llm": {}}  # Ensure config['llm'] exists
+except yaml.YAMLError as e:
+    logger.error(f"Error parsing configuration file {config_path}: {e}")
+    config = {"llm": {}}  # Ensure config['llm'] exists
+except Exception as e:
+    logger.exception(
+        f"An unexpected error occurred while loading configuration from {config_path}",
+        exc_info=e,
+    )
+    config = {"llm": {}}  # Ensure config['llm'] exists
+
 # --- Mount Static Files & Templates ---
 script_dir = os.path.dirname(__file__)
 static_dir = os.path.join(script_dir, "static")
@@ -383,30 +410,69 @@ async def ask_paul_graham(request: Request, prompt: str = Form(...)):
         )
     # ---------------------------
 
-    # --- Determine Model Parameters --- #
-    # (Define these based on your logic - fixed for now)
-    model_name = "claude-3-5-sonnet-20240620"
-    system_prompt = "You are an AI assistant that writes essays in the style of Paul Graham. Focus on insights about startups, technology, programming, and contrarian thinking. Be concise and clear."
-    max_tokens = 3500  # GPT 2 token statistics on PG essays as of 2025-04-14
-    # Mean: 3284.29, Median: 2052, Mode: 3292
-    # Min: 104, Max: 17718, SD: 3086.28
-    prompt_text = f"Write a Paul Graham essay about {short_description}"
+    # --- Determine Model Parameters from Config --- #
+    llm_config = config.get("llm", {})
+    model_name = llm_config.get("model_name")
+    system_prompt = llm_config.get("system_prompt")
+    max_tokens_str = llm_config.get("max_tokens", "1000")  # Default if missing
+    prompt_template = llm_config.get(
+        "prompt_template", "Write an essay about {short_description}"
+    )  # Default template
+
+    # Validate required parameters
+    if not model_name:
+        logger.error("LLM model_name is missing in the configuration.")
+        raise HTTPException(
+            status_code=500, detail="LLM configuration error: model_name missing."
+        )
+    if not system_prompt:
+        logger.warning(
+            "LLM system_prompt is missing in the configuration. Using empty system prompt."
+        )
+        system_prompt = ""
+
+    # Safely convert max_tokens to int
+    try:
+        max_tokens = int(max_tokens_str)
+    except (ValueError, TypeError):
+        logger.warning(
+            f"Invalid max_tokens value '{max_tokens_str}' in config. Using default 1000."
+        )
+        max_tokens = 1000
+
+    # Construct prompt_text using the template
+    try:
+        prompt_text = prompt_template.format(short_description=short_description)
+    except KeyError:
+        logger.warning(
+            f"Prompt template '{prompt_template}' is missing '{{short_description}}'. Using default template."
+        )
+        prompt_text = f"Write an essay about {short_description}"
+    except Exception as e:
+        logger.error(f"Error formatting prompt template: {e}. Using basic prompt.")
+        prompt_text = f"Write an essay about {short_description}"
+
+    logger.info(f"Using LLM Parameters: model='{model_name}', max_tokens={max_tokens}")
+    # logger.debug(f"System Prompt: '{system_prompt[:100]}...'") # Log truncated system prompt
+    # logger.debug(f"Generated Prompt Text: '{prompt_text[:100]}...'") # Log truncated final prompt
+
     messages = [
         {
             "role": "user",
-            "content": prompt_text,  # Use full description for the LLM
+            "content": prompt_text,  # Use the formatted prompt text
         }
     ]
-    # --------------------------------- #
+    # ------------------------------------------ #
 
     try:
         # --- Get or Create Model Params ID --- #
+        # Pass the actual values retrieved from config
         params_id = await get_or_create_model_params(
-            model_name, system_prompt, max_tokens
+            model_name=model_name, system_prompt=system_prompt, max_tokens=max_tokens
         )
         # ------------------------------------- #
 
-        # --- Find existing prompt based on short_description --- #
+        # --- Find existing prompt based on prompt_text (generated from template) --- #
         existing_prompt_result = (
             supabase.table("prompts")
             .select("prompt_id, created_at")
@@ -485,10 +551,11 @@ async def ask_paul_graham(request: Request, prompt: str = Form(...)):
 
             # Stream the cached/latest response
             async def stream_latest_cached():
-                chunk_size = 20
+                # chunk_size = 20
+                chunk_size = len(latest_response_text)
                 for i in range(0, len(latest_response_text), chunk_size):
                     chunk = latest_response_text[i : i + chunk_size]
-                    yield f"data: {json.dumps({'text': chunk})}\\n\\n"
+                    yield f"data: {json.dumps({'text': chunk})}\n\n"
                     await asyncio.sleep(0.01)
                 yield f"data: {json.dumps({'end': True})}\n\n"
 

app/static/script.js

@@ -13,6 +13,7 @@ document.addEventListener('DOMContentLoaded', () => {
 
     let currentSort = { field: 'time', order: 'desc' }; // Default sort
     let eventSource = null; // To hold the EventSource connection
+    let isFirstChunk = false; // Flag to track the first text chunk
 
     // --- Character Counter ---
     promptInput.addEventListener('input', () => {
@@ -22,6 +23,7 @@ document.addEventListener('DOMContentLoaded', () => {
 
     // --- Fetch and Render Essays ---
     async function fetchEssays(sortBy = 'time', order = 'desc') {
+        console.log(`Fetching essays: sort=${sortBy}, order=${order}`); // Log fetch start
         essaysList.innerHTML = '<li class="text-gray-400">Loading essays...</li>'; // Show loading state
         try {
             const response = await fetch(`/essays?sort_by=${sortBy}&order=${order}`);
@@ -29,20 +31,43 @@ document.addEventListener('DOMContentLoaded', () => {
                 throw new Error(`HTTP error! status: ${response.status}`);
             }
             const essays = await response.json();
+            console.log("Fetched essays data:", essays); // Log the raw fetched data
 
             essaysList.innerHTML = ''; // Clear list
 
+            if (!Array.isArray(essays)) {
+                console.error("Invalid data received from /essays endpoint. Expected an array.", essays);
+                throw new Error("Received invalid data from server.");
+            }
+
             if (essays.length === 0) {
                 essaysList.innerHTML = '<li class="text-gray-500">No essays found yet.</li>';
             } else {
-                essays.forEach(essay => {
+                console.log("Rendering essays..."); // Log before starting loop
+                essays.forEach((essay, index) => {
+                    console.log(`Rendering essay ${index + 1}:`, essay); // Log each essay object
                     const li = document.createElement('li');
-                    // Simple display: just the prompt text
-                    li.textContent = essay.prompt;
-                    // Optional: Add view count or date
-                    // li.textContent += ` (Views: ${essay.view_count}, Created: ${new Date(essay.created_at).toLocaleDateString()})`;
+                    // Use essay.prompt, provide fallback if null/undefined
+                    const promptText = essay.prompt ? essay.prompt : '[No prompt text]';
+                    li.textContent = promptText;
+                    // Optional: Add view count or date (add checks for null values)
+                    // const createdAt = essay.created_at ? new Date(essay.created_at).toLocaleDateString() : 'N/A';
+                    // const viewCount = essay.view_count !== undefined ? essay.view_count : 'N/A';
+                    // li.textContent += ` (Views: ${viewCount}, Created: ${createdAt})`;
+
+                    // Make the list item clickable to load the prompt
+                    li.classList.add('cursor-pointer', 'hover:text-orange-700');
+                    li.addEventListener('click', () => {
+                        // Set the input value and simulate submission
+                        promptInput.value = essay.prompt; // Use the original prompt text
+                        promptInput.dispatchEvent(new Event('input')); // Update char count
+                        promptForm.dispatchEvent(new Event('submit', { bubbles: true, cancelable: true }));
+                    });
+
                     essaysList.appendChild(li);
+                    console.log(`Appended item ${index + 1} to the list.`); // Confirm appendChild worked
                 });
+                console.log("Finished rendering essays."); // Log after loop completes
             }
         } catch (error) {
             console.error('Error fetching essays:', error);
@@ -69,6 +94,7 @@ document.addEventListener('DOMContentLoaded', () => {
         loadingIndicator.classList.remove('hidden');
         responseOutput.innerHTML = ''; // Clear previous output
         errorMessage.classList.add('hidden'); // Hide previous errors
+        isFirstChunk = true; // Reset flag for new request
 
         try {
             // Use EventSource for Server-Sent Events
@@ -114,7 +140,40 @@ document.addEventListener('DOMContentLoaded', () => {
                             try {
                                 const data = JSON.parse(line.substring(5).trim());
                                 if (data.text) {
-                                    responseOutput.innerHTML += data.text; // Append text chunk
+                                    // Escape HTML to prevent injection
+                                    const escapedText = data.text
+                                        .replace(/&/g, '&amp;')
+                                        .replace(/</g, '&lt;')
+                                        .replace(/>/g, '&gt;')
+                                        .replace(/"/g, '&quot;')
+                                        .replace(/'/g, '&#039;');
+
+                                    let formattedOutput = "";
+                                    if (isFirstChunk) {
+                                        // Find the index of the first occurrence of one or more newlines
+                                        const firstParaBreakIndex = escapedText.search(/\n+/);
+
+                                        if (firstParaBreakIndex !== -1) {
+                                            // Extract title (before the first paragraph break)
+                                            const title = escapedText.substring(0, firstParaBreakIndex);
+                                            // Extract the rest of the text (including the newlines that caused the break)
+                                            const restOfText = escapedText.substring(firstParaBreakIndex);
+
+                                            // Format: Title span + replaced newlines in the rest
+                                            formattedOutput = `<span class="essay-title">${title}</span>${restOfText.replace(/\n+/g, '<br><br>')}`;
+                                            isFirstChunk = false; // Only process the first chunk this way
+                                        } else {
+                                            // If the first chunk has no newline sequence, treat the whole chunk as the title
+                                            const title = escapedText; // No need to replace newlines here if none exist
+                                            formattedOutput = `<span class="essay-title">${title}</span>`;
+                                            // Subsequent chunks will add <br> if needed
+                                        }
+                                    } else {
+                                        // For subsequent chunks, just escape and replace newlines
+                                        formattedOutput = escapedText.replace(/\n+/g, '<br><br>');
+                                    }
+                                    responseOutput.innerHTML += formattedOutput; // Append safely formatted text chunk
+
                                 } else if (data.error) {
                                     console.error("SSE Error:", data.error);
                                     errorMessage.textContent = `Error: ${data.error}`;

app/static/style.css

@@ -2,6 +2,14 @@
 
 /* Add any custom styles here if needed, complementing Tailwind */
 
+/* Style for the essay title */
+.essay-title {
+    color: #841814;
+    font-variant: small-caps;
+    font-weight: bold;
+    /* Optional: make it bolder */
+}
+
 /* Example: Style for the active sort button */
 .sort-button.active {
     font-weight: bold;

pyproject.toml

@@ -12,7 +12,7 @@ version = "0.1.0"
 description = "A web app to generate Paul Graham style essays using an LLM, with response storage."
 readme = "README.md" # Assumes you have or will create a README file
 requires-python = ">=3.9" # Based on the Python version used in Dockerfile/dev environment
-license = { text = "MIT" } # Or choose another license, e.g., "Apache-2.0"
+license = "MIT" # Use SPDX identifier string
 authors = [
   { name = "Jason Gross", email = "jasongross9@gmail.com" }, # Optional: Add your details
 ]
@@ -30,6 +30,8 @@ dependencies = [
     "anthropic>=0.49.0",
     "httpx>=0.28.1",
     "supabase>=2.15.0",
+    "pyyaml>=6.0.2",
+    "requests>=2.32.3",
 ]
 
 # --- Optional: Project URLs ---
@@ -43,10 +45,17 @@ dependencies = [
 # ask-pg = "app.main:app" # Example, depends on how you structure/run
 
 # --- Optional: Development Dependencies ---
-# Example: Add linters, formatters, testing tools here
-# [project.optional-dependencies]
-# dev = [
+# Add linters, formatters, testing tools here
+[project.optional-dependencies]
+dev = [
+    "types-PyYAML", # Stubs for PyYAML
 #     "pytest",
 #     "ruff",
 #     "mypy",
-# ]
+]
+
+# --- Setuptools Configuration ---
+[tool.setuptools.packages.find]
+where = ["app"]  # Look for packages in the app directory
+# exclude = []  # Optional: exclude specific modules/packages
+# include = ["app*"] # Optional: Be more specific if needed

requirements.txt

@@ -6,3 +6,6 @@ httpx>=0.24.0
 python-dotenv>=1.0.0
 jinja2>=3.0.0 # For templating
 anthropic>=0.20.0 # Added Anthropic client library
+psycopg2-binary
+requests
+PyYAML # Added for config file parsing

uv.lock

@@ -173,10 +173,17 @@ dependencies = [
     { name = "jinja2" },
     { name = "python-dotenv" },
     { name = "python-multipart" },
+    { name = "pyyaml" },
+    { name = "requests" },
     { name = "supabase" },
     { name = "uvicorn", extra = ["standard"] },
 ]
 
+[package.optional-dependencies]
+dev = [
+    { name = "types-pyyaml" },
+]
+
 [package.metadata]
 requires-dist = [
     { name = "anthropic", specifier = ">=0.49.0" },
@@ -185,7 +192,10 @@ requires-dist = [
     { name = "jinja2", specifier = ">=3.0.0" },
     { name = "python-dotenv", specifier = ">=1.0.0" },
     { name = "python-multipart", specifier = ">=0.0.20" },
+    { name = "pyyaml", specifier = ">=6.0.2" },
+    { name = "requests", specifier = ">=2.32.3" },
     { name = "supabase", specifier = ">=2.15.0" },
+    { name = "types-pyyaml", marker = "extra == 'dev'" },
     { name = "uvicorn", extras = ["standard"], specifier = ">=0.20.0" },
 ]
 
@@ -216,6 +226,80 @@ wheels = [
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 ]
 
+[[package]]
+name = "charset-normalizer"
+version = "3.4.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/16/b0/572805e227f01586461c80e0fd25d65a2115599cc9dad142fee4b747c357/charset_normalizer-3.4.1.tar.gz", hash = "sha256:44251f18cd68a75b56585dd00dae26183e102cd5e0f9f1466e6df5da2ed64ea3", size = 123188 }
+wheels = [
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