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Runtime error
zwq2018
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Commit
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2d60caa
1
Parent(s):
0f5e34e
modified: app_with_key.py
Browse files- app_with_key.py +2 -2
- main.py +3 -3
app_with_key.py
CHANGED
@@ -23,8 +23,8 @@ css = """#col-container {max-width: 90%; margin-left: auto; margin-right: auto;
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# plt.rcParams['font.sans-serif'] = ['Arial Unicode MS']
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# plt.rcParams['axes.unicode_minus'] = False
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plt.rcParams['font.sans-serif'] = ['WenQuanYi Zen Hei', 'Noto Sans CJK']
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plt.rcParams['axes.unicode_minus'] = False
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example_stock =['给我画一下可孚医疗2022年年中到今天的股价','北向资金今年的每日流入和累计流入','看一下近三年宁德时代和贵州茅台的pb变化','画一下五粮液和泸州老窖从2019年年初到2022年年中的收益率走势','成都银行近一年的k线图和kdj指标','比较下沪深300,创业板指,中证1000指数今年的收益率','今年上证50所有成分股的收益率是多少']
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# plt.rcParams['font.sans-serif'] = ['Arial Unicode MS']
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# plt.rcParams['axes.unicode_minus'] = False
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# plt.rcParams['font.sans-serif'] = ['WenQuanYi Zen Hei', 'Noto Sans CJK']
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# plt.rcParams['axes.unicode_minus'] = False
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example_stock =['给我画一下可孚医疗2022年年中到今天的股价','北向资金今年的每日流入和累计流入','看一下近三年宁德时代和贵州茅台的pb变化','画一下五粮液和泸州老窖从2019年年初到2022年年中的收益率走势','成都银行近一年的k线图和kdj指标','比较下沪深300,创业板指,中证1000指数今年的收益率','今年上证50所有成分股的收益率是多少']
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main.py
CHANGED
@@ -18,8 +18,8 @@ from io import BytesIO
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import queue
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import datetime
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from threading import Thread
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plt.rcParams['font.sans-serif'] = ['Arial Unicode MS']
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plt.rcParams['axes.unicode_minus'] = False
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import openai
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@@ -359,7 +359,7 @@ def run(instruction, add_to_queue=None, send_chat_request_Azure = send_official_
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return output_text, image, output_result, df
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def gradio_interface(query, openai_key, openai_key_azure, api_base,engine):
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# Create a new thread to run the function.
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placeholder_dataframe = pd.DataFrame()
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placeholder_image = np.zeros((100, 100, 3), dtype=np.uint8) # Create a placeholder image.
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import queue
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import datetime
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from threading import Thread
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# plt.rcParams['font.sans-serif'] = ['Arial Unicode MS']
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# plt.rcParams['axes.unicode_minus'] = False
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import openai
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return output_text, image, output_result, df
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def gradio_interface(query, openai_key, openai_key_azure, api_base, engine):
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# Create a new thread to run the function.
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placeholder_dataframe = pd.DataFrame()
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placeholder_image = np.zeros((100, 100, 3), dtype=np.uint8) # Create a placeholder image.
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