ByFinTech commited on
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Update app.py

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  1. app.py +1 -1
app.py CHANGED
@@ -314,7 +314,7 @@ This model is finetuned on Llama2-7b-chat-hf with LoRA on the past year's DOW30
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  Company profile & Market news & Basic financials & Stock prices are retrieved using **yfinance & finnhub**.
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  For more detailed and customized implementation, refer to our FinGPT project: <https://github.com/AI4Finance-Foundation/FinGPT>
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- ⚠️Warning: This is just a demo showing what this model is capable of. During each individual inference, company news is **randomly sampled** from all the news from designated weeks, which might result in **unstable predictions**.
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  We suggest users deploy the [original model](https://huggingface.co/FinGPT/fingpt-forecaster_dow30_llama2-7b_lora) or clone this space and inference with more carefully selected news in their own favorable ways.
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  Setting do_sample=False or modifying the temperature during the generation process also helps stabilize the prediction result.
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  Company profile & Market news & Basic financials & Stock prices are retrieved using **yfinance & finnhub**.
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  For more detailed and customized implementation, refer to our FinGPT project: <https://github.com/AI4Finance-Foundation/FinGPT>
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+ ⚠️Warning: This is just a demo showing what this model is capable of. During each individual inference, company news is **randomly sampled** from all the news from designated weeks, which might result in **different predictions for the same time period**.
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  We suggest users deploy the [original model](https://huggingface.co/FinGPT/fingpt-forecaster_dow30_llama2-7b_lora) or clone this space and inference with more carefully selected news in their own favorable ways.
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  Setting do_sample=False or modifying the temperature during the generation process also helps stabilize the prediction result.
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