Allow users to provide their own tokens in case they want to upload the model to under their own account
Browse files
README.md
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@@ -52,11 +52,9 @@ This project provides a Streamlit application that converts Hugging Face models
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```bash
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# Option 1: Environment variables
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export HF_TOKEN="your_token"
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-
export HF_USERNAME="your_username"
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# Option 2: Create .streamlit/secrets.toml
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echo 'HF_TOKEN = "your_token"' > .streamlit/secrets.toml
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echo 'HF_USERNAME = "your_username"' >> .streamlit/secrets.toml
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```
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## Usage
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```bash
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# Option 1: Environment variables
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export HF_TOKEN="your_token"
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# Option 2: Create .streamlit/secrets.toml
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echo 'HF_TOKEN = "your_token"' > .streamlit/secrets.toml
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```
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## Usage
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app.py
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@@ -8,7 +8,7 @@ from typing import Optional, Tuple
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from urllib.request import urlopen, urlretrieve
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import streamlit as st
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from huggingface_hub import HfApi
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger(__name__)
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@@ -30,15 +30,17 @@ class Config:
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@classmethod
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def from_env(cls) -> "Config":
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"""Create config from environment variables and secrets."""
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-
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hf_username = (
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-
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or os.getenv("
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or
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)
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if not hf_token
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raise ValueError("HF_TOKEN
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return cls(hf_token=hf_token, hf_username=hf_username)
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@@ -162,6 +164,12 @@ def main():
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if not input_model_id:
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return
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model_name = (
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input_model_id.replace(f"{config.hf_base_url}/", "")
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.replace("/", "-")
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from urllib.request import urlopen, urlretrieve
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import streamlit as st
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from huggingface_hub import whoami, HfApi
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger(__name__)
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@classmethod
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def from_env(cls) -> "Config":
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"""Create config from environment variables and secrets."""
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system_token = st.secrets.get("HF_TOKEN") or os.getenv("HF_TOKEN", "")
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user_token = st.session_state.get("user_hf_token", "")
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hf_username = (
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whoami(token=user_token)["name"]
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or os.getenv("SPACE_AUTHOR_NAME")
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or whoami(token=system_token)["name"]
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)
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hf_token = user_token or system_token
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if not hf_token:
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raise ValueError("HF_TOKEN must be set")
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return cls(hf_token=hf_token, hf_username=hf_username)
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if not input_model_id:
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return
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st.text_input(
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f"Optional: Your Hugging Face write token. Leave empty to upload under {config.hf_username}'s account.",
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type="password",
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key="user_hf_token",
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)
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model_name = (
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input_model_id.replace(f"{config.hf_base_url}/", "")
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.replace("/", "-")
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