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Secure API token using .env
Browse files
app.py
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import gradio as gr
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from transformers import AutoModelForCausalLM, AutoTokenizer
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import torch
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# ✅ Load the trained chatbot model from Hugging Face
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MODEL_NAME = "eabybabu/chatbot_model" # Replace with your actual model name
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tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME, token=
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model = AutoModelForCausalLM.from_pretrained(MODEL_NAME, token=
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# ✅ Function to generate chatbot responses
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def chatbot_response(user_input):
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import gradio as gr
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from transformers import AutoModelForCausalLM, AutoTokenizer
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import torch
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import os
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from dotenv import load_dotenv
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import os
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# ✅ Load API Token Securely from .env
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load_dotenv()
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HF_TOKEN = os.getenv("HF_TOKEN")
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# ✅ Load the trained chatbot model from Hugging Face
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MODEL_NAME = "eabybabu/chatbot_model" # Replace with your actual model name
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tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME, token=HF_TOKEN)
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model = AutoModelForCausalLM.from_pretrained(MODEL_NAME, token=HF_TOKEN)
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# ✅ Function to generate chatbot responses
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def chatbot_response(user_input):
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