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Update app.py
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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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import os
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#
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hf_token = os.getenv("HF_TOKEN")
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# Define model name and local cache directory
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model_name = "facebook/chameleon-7b"
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# Load the model and tokenizer
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tokenizer = AutoTokenizer.from_pretrained(
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model = AutoModelForCausalLM.from_pretrained(
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# Function to generate response
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def generate_response(input_text):
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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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# Define model name and local directory
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model_name = "facebook/chameleon-7b"
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local_model_dir = "./chameleon-7b"
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# Load the model and tokenizer from the local directory
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tokenizer = AutoTokenizer.from_pretrained(local_model_dir)
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model = AutoModelForCausalLM.from_pretrained(local_model_dir)
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# Function to generate response
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def generate_response(input_text):
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