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Update app.py
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app.py
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@@ -1,10 +1,13 @@
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import gradio as gr
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from transformers import AutoTokenizer, AutoModelForCausalLM
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# Load the tokenizer and model
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model_id = "mistralai/Mixtral-8x22B-v0.1"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(model_id)
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# Function to generate text using the model
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def generate_text(prompt, max_length=500, temperature=0.7, top_k=50, top_p=0.95, num_return_sequences=1):
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import os
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import gradio as gr
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from transformers import AutoTokenizer, AutoModelForCausalLM
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access_token = os.environ["GATED_ACCESS_TOKEN"]
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# Load the tokenizer and model
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model_id = "mistralai/Mixtral-8x22B-v0.1"
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tokenizer = AutoTokenizer.from_pretrained(model_id, token=access_token)
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model = AutoModelForCausalLM.from_pretrained(model_id, token=access_token)
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# Function to generate text using the model
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def generate_text(prompt, max_length=500, temperature=0.7, top_k=50, top_p=0.95, num_return_sequences=1):
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