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Update app.py
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app.py
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@@ -78,19 +78,21 @@
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# # ).launch()
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from transformers import AutoModelForCausalLM, AutoTokenizer
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import gradio as gr
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import torch
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title = "
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description = "
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examples = [["How are you?"]]
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tokenizer = AutoTokenizer.from_pretrained("Cogwisechat/falcon-7b-finance")
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model = AutoModelForCausalLM.from_pretrained(
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def predict(input, history=[]):
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inputs=["text", "state"],
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outputs=["chatbot", "state"],
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theme="finlaymacklon/boxy_violet",
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).launch()
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# # ).launch()
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from transformers import AutoModelForCausalLM, AutoTokenizer
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import gradio as gr
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import torch
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title = "🦅Falcon 🗨️ChatBot"
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description = "Falcon-RW-1B is a 1B parameters causal decoder-only model built by TII and trained on 350B tokens of RefinedWeb."
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examples = [["How are you?"]]
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tokenizer = AutoTokenizer.from_pretrained("Cogwisechat/falcon-7b-finance")
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model = AutoModelForCausalLM.from_pretrained(
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"Cogwisechat/falcon-7b-finance",
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trust_remote_code=True,
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)
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def predict(input, history=[]):
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inputs=["text", "state"],
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outputs=["chatbot", "state"],
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theme="finlaymacklon/boxy_violet",
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).launch()
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