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Browse files- app/app.py +4 -2
- app/openai_chat_completion.py +9 -1
app/app.py
CHANGED
@@ -49,5 +49,7 @@ if st.button("Run Data Cleaning API"):
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file_name='cleaned_df.csv',
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mime='text/csv',
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)
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-
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-
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file_name='cleaned_df.csv',
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mime='text/csv',
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)
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+
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+
# if both text_input and csv_file are empty, display error message
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else:
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st.write("Please enter text or upload a CSV file.")
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app/openai_chat_completion.py
CHANGED
@@ -42,7 +42,14 @@ class OpenAIChatCompletions:
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# function to use test data to predict completions
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-
def predict_jsonl(
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jsonObj = pd.read_json(path_or_buf=path_or_buf, lines=True)
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if n_samples is not None:
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jsonObj = jsonObj.sample(n_samples, random_state=42)
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@@ -76,5 +83,6 @@ class OpenAIChatCompletions:
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path_or_buf='~/data/cookies_train.jsonl',
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n_samples=5
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):
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jsonObj = pd.read_json(path_or_buf=path_or_buf, lines=True)
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return jsonObj.sample(n_samples, random_state=42)
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# function to use test data to predict completions
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+
def predict_jsonl(
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self,
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# path_or_buf='../data/cookies_train.jsonl',
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path_or_buf='~/data/cookies_train.jsonl',
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n_samples=None,
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n_shot=None
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):
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jsonObj = pd.read_json(path_or_buf=path_or_buf, lines=True)
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if n_samples is not None:
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jsonObj = jsonObj.sample(n_samples, random_state=42)
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path_or_buf='~/data/cookies_train.jsonl',
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n_samples=5
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):
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+
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jsonObj = pd.read_json(path_or_buf=path_or_buf, lines=True)
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return jsonObj.sample(n_samples, random_state=42)
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