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Diagnostic App - Find out why the full model isn't working
"""
import streamlit as st
import os
import sys
st.set_page_config(
page_title="Model Diagnostic",
page_icon="🔍",
layout="wide"
)
st.title("🔍 Model Diagnostic Tool")
st.markdown("### Let's find out why your full model isn't working!")
# Diagnostic section
st.header("📊 System Diagnostics")
# Check 1: Python environment
st.subheader("1. Python Environment")
st.write(f"**Python Version:** {sys.version}")
st.write(f"**Working Directory:** {os.getcwd()}")
# Check 2: Required packages
st.subheader("2. Required Packages")
try:
import streamlit
st.success(f"✅ Streamlit: {streamlit.__version__}")
except ImportError as e:
st.error(f"❌ Streamlit: {e}")
try:
import torch
st.success(f"✅ PyTorch: {torch.__version__}")
except ImportError as e:
st.error(f"❌ PyTorch: {e}")
try:
import transformers
st.success(f"✅ Transformers: {transformers.__version__}")
except ImportError as e:
st.error(f"❌ Transformers: {e}")
try:
import accelerate
st.success(f"✅ Accelerate: {accelerate.__version__}")
except ImportError as e:
st.error(f"❌ Accelerate: {e}")
# Check 3: Fine-tuned model components
st.subheader("3. Fine-tuned Model Components")
try:
from fine import ProgrammingEducationAI, ComprehensiveFeedback
st.success("✅ Fine-tuned model components imported successfully")
MODEL_AVAILABLE = True
except Exception as e:
st.error(f"❌ Fine-tuned model components failed: {e}")
MODEL_AVAILABLE = False
# Check 4: Environment variables
st.subheader("4. Environment Variables")
HF_TOKEN = None # Using public model
st.success("✅ Using public model - no HF_TOKEN required")
st.info("💡 Public models don't need authentication tokens")
# Check 5: Model path
st.subheader("5. Model Path Configuration")
model_path = "FaroukTomori/codellama-7b-programming-education"
st.write(f"**Current model path:** {model_path}")
st.info("💡 Make sure this matches your actual model name on Hugging Face")
# Check 6: File structure
st.subheader("6. File Structure")
current_dir = os.getcwd()
st.write(f"**Current directory:** {current_dir}")
files = os.listdir(current_dir)
st.write("**Files in current directory:**")
for file in files:
if file.endswith('.py'):
st.write(f" 📄 {file}")
# Check 7: Fine.py file
st.subheader("7. Fine.py File Analysis")
fine_path = os.path.join(current_dir, "fine.py")
if os.path.exists(fine_path):
st.success("✅ fine.py exists")
file_size = os.path.getsize(fine_path)
st.write(f"**File size:** {file_size:,} bytes")
# Check if it has the required classes
try:
with open(fine_path, 'r', encoding='utf-8') as f:
content = f.read()
if "class ProgrammingEducationAI" in content:
st.success("✅ ProgrammingEducationAI class found")
else:
st.error("❌ ProgrammingEducationAI class not found")
if "class ComprehensiveFeedback" in content:
st.success("✅ ComprehensiveFeedback class found")
else:
st.error("❌ ComprehensiveFeedback class not found")
except Exception as e:
st.error(f"❌ Error reading fine.py: {e}")
else:
st.error("❌ fine.py not found")
# Check 8: Model files
st.subheader("8. Model Files")
models_dir = os.path.join(current_dir, "models")
if os.path.exists(models_dir):
st.success("✅ models directory exists")
model_files = os.listdir(models_dir)
st.write("**Model files:**")
for file in model_files:
st.write(f" 📁 {file}")
else:
st.warning("⚠️ models directory not found")
# Summary and recommendations
st.header("🎯 Summary & Recommendations")
if MODEL_AVAILABLE:
st.success("🎉 Everything looks good! Your public model should work.")
st.info("💡 Try using the full app now.")
else:
st.error("❌ Fine-tuned model components are not available")
st.markdown("""
**Possible causes:**
1. `fine.py` file is missing or corrupted
2. Required dependencies are not installed
3. Import error in `fine.py`
**Solutions:**
1. Make sure `fine.py` exists and is complete
2. Install missing dependencies: `pip install torch transformers accelerate`
3. Check for syntax errors in `fine.py`
""")
# Test model loading
st.header("🧪 Test Model Loading")
if st.button("🚀 Test Model Loading"):
if MODEL_AVAILABLE:
with st.spinner("Testing model loading..."):
try:
model_path = "FaroukTomori/codellama-7b-programming-education"
ai_tutor = ProgrammingEducationAI(model_path)
st.success("✅ Model class instantiated successfully")
# Try to load the model
try:
ai_tutor.load_model()
st.success("✅ Model loaded successfully!")
except Exception as e:
st.error(f"❌ Model loading failed: {e}")
st.info(
"💡 This usually means the model isn't uploaded to HF Model Hub yet")
except Exception as e:
st.error(f"❌ Model instantiation failed: {e}")
else:
st.error("❌ Cannot test - model components not available")
st.markdown("---")
st.info("💡 **Next Steps:** Fix the issues above, then try the main app again!")
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