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5b319d9
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Parent(s):
a9fe782
adding files
Browse files- main.py +15 -2
- requirements.txt +0 -1
main.py
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@@ -4,6 +4,7 @@ from google.cloud import storage
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import io
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import os
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import tempfile
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app = FastAPI()
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@@ -64,12 +65,24 @@ async def upload_file(file: UploadFile = File(...)):
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append_to_gcs_csv(df, gcs_file_path)
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return {"message": "File uploaded successfully"}
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@app.post("/upload-data/")
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async def upload_data(
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df = pd.DataFrame([[category, score]], columns=['category', 'score'])
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append_to_gcs_csv(df, gcs_file_path)
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return {"message": "Data uploaded successfully"}
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@app.post("/clear-data/")
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async def clear_data():
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# Create an empty DataFrame with the same columns
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import io
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import os
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import tempfile
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from pydantic import BaseModel
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app = FastAPI()
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append_to_gcs_csv(df, gcs_file_path)
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return {"message": "File uploaded successfully"}
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# @app.post("/upload-data/")
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# async def upload_data(category: str = Form(...), score: float = Form(...)):
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# df = pd.DataFrame([[category, score]], columns=['category', 'score'])
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# append_to_gcs_csv(df, gcs_file_path)
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# return {"message": "Data uploaded successfully"}
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class DataPayload(BaseModel):
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category: str
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score: float
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@app.post("/upload-data/")
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async def upload_data(payload: DataPayload):
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df = pd.DataFrame([[payload.category, payload.score]], columns=['category', 'score'])
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append_to_gcs_csv(df, gcs_file_path)
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return {"message": "Data uploaded successfully"}
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@app.post("/clear-data/")
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async def clear_data():
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# Create an empty DataFrame with the same columns
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requirements.txt
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@@ -2,5 +2,4 @@ fastapi
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uvicorn
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pandas
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gradio
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sqlalchemy
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google-cloud-storage
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uvicorn
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pandas
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gradio
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google-cloud-storage
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