Upload 4 files

Dockerfile

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+# Use official Python base image
+FROM python:3.10-slim
+
+# Set working directory
+WORKDIR /app
+
+# Copy everything
+COPY . .
+
+# Install dependencies
+RUN pip install --upgrade pip && pip install -r requirements.txt
+
+# Expose port
+EXPOSE 7860
+
+# Run the app
+CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860"]

generate_text_input.py

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+import pandas as pd
+import numpy as np
+import os
+
+DATA_PATH = "./data/processed/merged_features.csv"
+SEQ_LEN = 30  
+SAVE_PATH = "./test_input.csv"
+
+if not os.path.exists(DATA_PATH):
+    raise FileNotFoundError(f"❌ Cannot find data file at {DATA_PATH}")
+
+df = pd.read_csv(DATA_PATH)
+df = df.select_dtypes(include=[np.number]).dropna()
+data = df.values
+
+if len(data) < SEQ_LEN:
+    raise ValueError(f"❌ Not enough data: Need at least {SEQ_LEN} rows for one input sequence.")
+
+sample = data[:SEQ_LEN] 
+
+np.savetxt(SAVE_PATH, sample, delimiter=",")
+print(f"✅ Test input saved to: {SAVE_PATH}")
+print(f"ℹ️ Shape of saved data: {sample.shape}")

requirements.txt

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+torch
+transformers
+pandas
+yfinance
+snscrape
+fastapi
+uvicorn
+scikit-learn
+apache-airflow
+numpy
+pydantic
+requests
+jinja2
+matplotlib

test_input.csv

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