Spaces:
Runtime error
Runtime error
File size: 1,260 Bytes
10e9b7d eccf8e4 7d65c66 3c4371f be3b5a2 4b8b9e9 d59f015 e80aab9 3db6293 c89d174 b2ab5d7 4b8b9e9 b2ab5d7 4b8b9e9 b2ab5d7 4b8b9e9 b2ab5d7 4b8b9e9 |
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 |
import os
import gradio as gr
import requests
import inspect
import pandas as pd
from smolagents.models import InferenceClientModel
from smolagents import ToolCallingAgent
from smolagents import DuckDuckGoSearchTool
from smolagents import Tool
import traceback
from huggingface_hub import InferenceClient, HfApi
from huggingface_hub.utils import HfHubHTTPError
# (Keep Constants as is)
# --- Constants ---
DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
print("Token loaded:", bool(os.getenv("chatbotagenthf")))
from huggingface_hub import InferenceClient, HfApi
api_key=os.getenv("chatbotagenthf")
api = HfApi()
client = InferenceClient(token=api_key)
# Example list of chat/instruction models to test
models = [
"mistralai/Mistral-7B-Instruct-v0.3",
"HuggingFaceH4/zephyr-7b-beta",
"google/gemma-2b-it",
"tiiuae/falcon-7b-instruct",
"meta-llama/Llama-3.1-8B-Instruct"
]
client = InferenceClient()
api = HfApi()
for model in models:
print(f"🔎 Testing {model}...")
try:
# just check if model exists and is accessible
api.model_info(model, token="your_HF_token_here")
print(f"✅ Accessible: {model}")
except HfHubHTTPError as e:
print(f"❌ Not accessible: {model} -> {e}") |