Upload app.py

app.py

@@ -12,16 +12,51 @@ import shutil
 import requests
 import glob
 
-# Free models from OpenRouter (as of 2025)
+# Free models from OpenRouter (as of 2025) - Comprehensive list
 FREE_MODELS = [
-    "google/gemini-2.0-flash-001:free",
-    "google/gemini-flash-1.5-8b:free",
-    "meta-llama/llama-3.2-3b-instruct:free",
-    "meta-llama/llama-3.2-1b-instruct:free",
-    "microsoft/phi-3-mini-128k-instruct:free",
-    "microsoft/phi-3-medium-128k-instruct:free",
-    "qwen/qwen-2-7b-instruct:free",
-    "mistralai/mistral-7b-instruct:free",
+    # Top-tier (heavily rate-limited)
+    "meta-llama/llama-3.1-405b-instruct:free",  # 405B - Top-tier reasoning, multilingual
+    "nousresearch/hermes-3-llama-3.1-405b:free",  # 405B - Creative/roleplay fine-tune
+
+    # High-capability (rate-limited)
+    "qwen/qwen2.5-72b-instruct:free",  # 72B - Strong in coding/math/multilingual
+    "meta-llama/llama-3.1-70b-instruct:free",  # 70B - Advanced reasoning
+    "mistralai/mixtral-8x7b-instruct:free",  # 46.7B equiv - MoE efficient
+    "deepseek/deepseek-chat:free",  # 67B - Conversational focus
+    "deepseek/deepseek-coder:free",  # 33B - Coding specialist
+
+    # Mid-tier (good balance)
+    "qwen/qwen2.5-32b-instruct:free",  # 32B - Detailed responses, math/coding
+    "google/gemma-2-27b-it:free",  # 27B - Strong instruction-tuned
+    "qwen/qwen2.5-14b-instruct:free",  # 14B - Mid-level tasks
+    "microsoft/phi-3-medium-128k-instruct:free",  # 14B - Long context
+    "mistralai/pixtral-12b-2409:free",  # 12B - Multimodal (text+image)
+
+    # Efficient (7-9B)
+    "qwen/qwen2.5-7b-instruct:free",  # 7B - Balanced instruct
+    "meta-llama/llama-3-8b-instruct:free",  # 8B - General-purpose
+    "meta-llama/llama-3.1-8b-instruct:free",  # 8B - Improved multilingual
+    "google/gemma-2-9b-it:free",  # 9B - Quick capable responses
+    "microsoft/phi-3-small-128k-instruct:free",  # 7B - Extended context
+    "mistralai/mistral-7b-instruct:free",  # 7B - Reliable baseline
+    "nousresearch/nous-hermes-2-mixtral-8x7b-dpo:free",  # 46.7B equiv - Helpful aligned
+    "cognitivecomputations/dolphin-2.9-llama3-8b:free",  # 8B - Uncensored
+    "huggingfaceh4/zephyr-7b-beta:free",  # 7B - Basic assistance
+    "teknium/openhermes-2.5-mistral-7b:free",  # 7B - Creative
+
+    # Lightweight (3-4B)
+    "openai/gpt-4o-mini:free",  # ~8B equiv - Fast, capable mini
+    "undi95/replit-code-v1.5-3b-instruct:free",  # 3B - Code-focused
+    "meta-llama/llama-3.2-3b-instruct:free",  # 3B - Compact text gen
+    "qwen/qwen2.5-3b-instruct:free",  # 3B - Quick responses
+    "sophosympatheia/nemotron-mini-4b-instruct:free",  # 4B - Entry-level
+    "microsoft/phi-3-mini-128k-instruct:free",  # 3.8B - Long context
+    "microsoft/phi-3-mini-4k-instruct:free",  # 3.8B - Standard
+
+    # Ultra-light (0.5-1.5B)
+    "qwen/qwen2.5-1.5b-instruct:free",  # 1.5B - Lightweight apps
+    "meta-llama/llama-3.2-1b-instruct:free",  # 1B - Ultra-light multimodal
+    "qwen/qwen2.5-0.5b-instruct:free",  # 0.5B - Minimalist
 ]
 
 
@@ -608,7 +643,7 @@ with gr.Blocks(title="OpenEvolve Prompt Optimizer", theme=gr.themes.Soft()) as d
                 choices=FREE_MODELS,
                 value=FREE_MODELS[0],
                 label="Select Model",
-                info="Free models available on OpenRouter"
+                info="Choose from 30+ free models on OpenRouter (0.5B to 405B parameters)"
             )
 
             dataset_name = gr.Textbox(
@@ -672,13 +707,25 @@ with gr.Blocks(title="OpenEvolve Prompt Optimizer", theme=gr.themes.Soft()) as d
     | openai/gsm8k | test | question | answer | Math Reasoning |
     | fancyzhx/ag_news | test | text | label | News Classification |
 
-    ### Important Notes:
-    - **API Key**: Must be set as `OPENAI_API_KEY` environment variable in Space secrets
-    - **HF Token**: Optional `HF_TOKEN` environment variable for private datasets
-    - **Dataset Name**: Use full name (org/dataset or dataset-name)
-    - **Validation**: All inputs are validated before starting optimization
-    - **Time**: Evolution takes 5-15 minutes (10 iterations)
-    - **Samples**: 100 random samples per evaluation
+    ### About This Demo Space:
+
+    **This is a demonstration space** showcasing OpenEvolve's prompt optimization capabilities.
+    The interface shows you how the system works, but **you'll need to set up your own instance to run optimizations**.
+
+    ### How to Run This Yourself:
+
+    1. **Clone this Space**: Click "⋮" (three dots) at top-right → "Duplicate this Space"
+    2. **Set Environment Variables** in your cloned Space's settings:
+       - `OPENAI_API_KEY`: Your OpenRouter API key (get free key at [openrouter.ai/keys](https://openrouter.ai/keys))
+       - `HF_TOKEN`: (Optional) HuggingFace token for private datasets
+    3. **Configure Your Optimization**:
+       - Dataset: Use full name format (e.g., `stanfordnlp/imdb` or `openai/gsm8k`)
+       - Fields: Specify exact field names from the dataset schema
+       - Model: Choose from 30+ free models (larger models = better results but slower/rate-limited)
+    4. **Run & Monitor**:
+       - All inputs are validated before starting
+       - Evolution takes 5-15 minutes (10 iterations, 100 samples per evaluation)
+       - Watch evolution progress visualization in real-time
 
     ### About OpenEvolve:
     OpenEvolve is an open-source evolutionary optimization framework. Learn more at: