curl-python-file.py

# Working Python code with correct FileData format for Gradio

from gradio_client import Client, handle_file
import json

try:
    print("🔗 Connecting to Baby Cry Classifier...")
    client = Client("https://jitender1278-babycry.hf.space")
    
    print("📥 Testing with correct FileData format...")
    
    # Method 1: Using handle_file() with URL
    try:
        print("🧪 Method 1: Using handle_file() with URL...")
        
        # handle_file() creates proper FileData object
        audio_file = handle_file("https://raw.githubusercontent.com/jiten-kmar/python-projects/main/baby-crying-32232.mp3")
        
        result = client.predict(
            audio_file,
            fn_index=0  # Try the web interface first
        )
        
        print("✅ Method 1 with fn_index=0 worked!")
        print("Result type:", type(result))
        print("Result:")
        if isinstance(result, (list, tuple)):
            for i, item in enumerate(result):
                print(f"  Output {i}:")
                print(f"    {item}")
        else:
            print(json.dumps(result, indent=2))
            
    except Exception as e:
        print(f"❌ Method 1 fn_index=0 failed: {e}")
        
        # Try fn_index=1
        try:
            print("🧪 Method 1b: Using handle_file() with fn_index=1...")
            audio_file = handle_file("https://raw.githubusercontent.com/jiten-kmar/python-projects/main/baby-crying-32232.mp3")
            
            result = client.predict(
                audio_file,
                fn_index=1
            )
            
            print("✅ Method 1 with fn_index=1 worked!")
            print("Result type:", type(result))
            print("Result:")
            print(json.dumps(result, indent=2))
            
        except Exception as e2:
            print(f"❌ Method 1 fn_index=1 also failed: {e2}")

    # Method 2: Try with API name
    try:
        print("\n🧪 Method 2: Using api_name...")
        audio_file = handle_file("https://raw.githubusercontent.com/jiten-kmar/python-projects/main/baby-crying-32232.mp3")
        
        result = client.predict(
            audio_file,
            api_name="/web_interface_predict"
        )
        
        print("✅ Method 2 worked!")
        print("Result type:", type(result))
        print("Result:")
        if isinstance(result, (list, tuple)):
            for i, item in enumerate(result):
                print(f"  Output {i}:")
                print(f"    {item}")
        else:
            print(json.dumps(result, indent=2))
            
    except Exception as e:
        print(f"❌ Method 2 failed: {e}")

    # Method 3: Download file locally first, then upload
    try:
        print("\n🧪 Method 3: Download and use local file...")
        import requests
        import tempfile
        import os
        
        # Download the file
        response = requests.get("https://raw.githubusercontent.com/jiten-kmar/python-projects/main/baby-crying-32232.mp3")
        
        # Save to temporary file
        with tempfile.NamedTemporaryFile(delete=False, suffix='.mp3') as tmp_file:
            tmp_file.write(response.content)
            local_file_path = tmp_file.name
        
        print(f"📁 Downloaded to: {local_file_path}")
        
        # Use local file with handle_file
        audio_file = handle_file(local_file_path)
        
        result = client.predict(
            audio_file,
            fn_index=0
        )
        
        print("✅ Method 3 worked!")
        print("Result type:", type(result))
        print("Result:")
        if isinstance(result, (list, tuple)):
            for i, item in enumerate(result):
                print(f"  Output {i}:")
                print(f"    {item}")
        else:
            print(json.dumps(result, indent=2))
        
        # Clean up
        os.unlink(local_file_path)
        
    except Exception as e:
        print(f"❌ Method 3 failed: {e}")

except Exception as main_error:
    print(f"❌ Failed to connect to the Space: {main_error}")

print("\n" + "="*60)
print("🎯 KEY LEARNING:")
print("Gradio expects FileData objects, not string URLs!")
print("Use: handle_file(url_or_path) to create proper FileData")
print("\n✅ Working Python pattern:")
print("""
from gradio_client import Client, handle_file

client = Client("https://jitender1278-babycry.hf.space")
audio_file = handle_file("your_audio_url_or_path")
result = client.predict(audio_file, fn_index=WORKING_INDEX)
print(result)
""")