Spaces:
Running
Running
File size: 3,503 Bytes
a885b4f ec92724 a885b4f ec92724 a885b4f ec92724 a885b4f ec92724 aff60ee ec92724 a885b4f ec92724 a885b4f |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 |
"""
Hugging Face Spaces entry point for Fitness AI Assistant
"""
import sys
import os
from pathlib import Path
# Add the necessary paths
current_dir = Path(__file__).parent
# Add shared library to path
shared_path = current_dir / "shared" / "src"
if str(shared_path) not in sys.path:
sys.path.insert(0, str(shared_path))
# Add gradio app to path
gradio_app_path = current_dir / "apps" / "gradio-app" / "src"
if str(gradio_app_path) not in sys.path:
sys.path.insert(0, str(gradio_app_path))
# Add fitness_agent to path
fitness_agent_path = current_dir / "fitness_agent"
if str(fitness_agent_path) not in sys.path:
sys.path.insert(0, str(fitness_agent_path))
print("🚀 Starting Fitness AI Assistant...")
print(f"📂 Working directory: {current_dir}")
print(f"🔍 Python paths added:")
print(f" - {shared_path}")
print(f" - {gradio_app_path}")
print(f" - {fitness_agent_path}")
try:
print("📦 Testing core imports...")
import gradio as gr
print("✓ Gradio imported successfully")
# Try to import our modules step by step
print("📦 Testing fitness_core imports...")
from fitness_core import setup_logging, Config, get_logger
print("✓ fitness_core base imports successful")
print("📦 Testing fitness_gradio imports...")
try:
import scipy
print("✓ scipy imported successfully")
except ImportError as e:
print(f"⚠️ scipy not available - audio processing will be limited: {e}")
try:
import groq
print("✓ groq imported successfully")
except ImportError as e:
print(f"⚠️ groq not available - voice transcription will be limited: {e}")
from fitness_gradio.ui import create_fitness_app
print("✓ fitness_gradio imports successful")
# Configure logging
setup_logging(level=Config.LOG_LEVEL, log_file=Config.LOG_FILE)
logger = get_logger(__name__)
print("🎨 Creating Gradio app...")
app = create_fitness_app()
print("✅ Successfully created full fitness app!")
except Exception as e:
print(f"⚠️ Import error: {e}")
print("🔄 Creating fallback Gradio interface...")
import gradio as gr
def respond(message, history):
return (f"🏋️ Hello! I'm the Fitness AI Assistant. I'm currently in fallback mode due to missing dependencies.\n\n"
f"You said: {message}\n\n"
f"Please ensure all required dependencies are installed:\n"
f"- openai-agents[litellm]\n"
f"- python-dotenv\n"
f"- pydantic\n\n"
f"Once properly configured, I can help with:\n"
f"- Fitness program design\n"
f"- Nutrition advice\n"
f"- Workout planning\n"
f"- Health and wellness guidance")
app = gr.ChatInterface(
respond,
title="🏋️ Fitness AI Assistant",
description="Your personal AI-powered fitness and nutrition coach (Fallback Mode)",
examples=[
"Create a beginner workout plan",
"What should I eat after a workout?",
"How many calories should I eat per day?",
"Design a 30-day fitness challenge"
]
)
print("✅ Created fallback interface")
if __name__ == "__main__":
print("🚀 Launching Fitness AI Assistant...")
app.launch(
server_name="0.0.0.0",
server_port=7860,
share=False
)
|