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Update app.py (#3)
Browse files- Update app.py (0bd84ca788d4880c3c6df422b2a06e44cac46110)
Co-authored-by: Suri <SuriRaja@users.noreply.huggingface.co>
app.py
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@@ -1,52 +1,31 @@
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import
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import os
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#
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prescriptions = Prescription.load_from_csv(PRESCRIPTION_CSV)
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reports = Report.load_from_csv(REPORT_CSV)
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medical_history = MedicalHistory.load_from_csv(MEDICAL_HISTORY_CSV)
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# Print out the loaded data for verification
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print(f"Loaded {len(users)} users.")
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print(f"Loaded {len(appointments)} appointments.")
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print(f"Loaded {len(prescriptions)} prescriptions.")
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print(f"Loaded {len(reports)} reports.")
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print(f"Loaded {len(medical_history)} medical history records.")
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# Return all the data for further processing
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return users, appointments, prescriptions, reports, medical_history
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def main():
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print("Initializing MediConsult App...")
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# Load all data from CSV files
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users, appointments, prescriptions, reports, medical_history = load_all_data()
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# Additional logic to handle the application workflow
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# For example, managing user authentication, processing appointment requests, etc.
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if __name__ == "__main__":
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import gradio as gr
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import pandas as pd
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import os
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# Define the upload directory relative to the app's location
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BASE_DIR = os.path.dirname(os.path.abspath(__file__))
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UPLOAD_DIR = BASE_DIR
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def upload_file(file):
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try:
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# Save the uploaded file to the base directory
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file_path = os.path.join(UPLOAD_DIR, file.name)
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with open(file_path, "wb") as f:
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f.write(file.read())
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# Read the CSV file and return the first few rows as a preview
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df = pd.read_csv(file_path)
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return df.head().to_html()
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except Exception as e:
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return str(e)
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iface = gr.Interface(
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fn=upload_file,
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inputs=gr.inputs.File(label="Upload CSV File"),
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outputs="html",
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title="CSV File Uploader",
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description="Upload a CSV file and preview the first few rows."
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)
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if __name__ == "__main__":
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iface.launch()
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