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Update app.py
Browse files
app.py
CHANGED
@@ -1,248 +1,81 @@
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import gradio as gr
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import
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from
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class EzvizTuyaAutomation:
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def __init__(self):
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self.ezviz_base_url = "https://open.ezviz.com/api"
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self.tuya_base_url = "https://openapi.tuyaus.com"
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self.credentials = {
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'ezviz_app_key': '',
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'ezviz_app_secret': '',
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'tuya_client_id': '',
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'tuya_secret': ''
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}
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self.ezviz_access_token = None
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self.tuya_access_token = None
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self.selected_camera = None
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self.selected_light = None
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self.is_running = False
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self.status_queue = queue.Queue()
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def fetch_ezviz_token(self):
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"""Fetch and set EZVIZ access token"""
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url = f"{self.ezviz_base_url}/oauth/token"
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payload = {
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"appKey": self.credentials['ezviz_app_key'],
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"appSecret": self.credentials['ezviz_app_secret']
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}
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try:
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response = requests.post(url, json=payload)
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if response.status_code == 200:
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self.ezviz_access_token = response.json().get("accessToken")
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return "EZVIZ token fetched successfully."
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else:
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return f"Failed to fetch EZVIZ token: {response.text}"
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except Exception as e:
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return f"Error fetching EZVIZ token: {str(e)}"
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def get_ezviz_devices(self):
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"""Get list of EZVIZ cameras"""
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if not self.ezviz_access_token:
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return []
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url = f"{self.ezviz_base_url}/devices"
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headers = {"Authorization": f"Bearer {self.ezviz_access_token}"}
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response = requests.get(url, headers=headers)
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if response.status_code == 200:
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devices = response.json().get("devices", [])
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return [{"name": dev["name"], "id": dev["deviceSerial"]} for dev in devices]
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print(f"EZVIZ API Response: {response.text}") # Debugging
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return []
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def get_tuya_devices(self):
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"""Get list of Tuya devices"""
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if not self.tuya_access_token:
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return []
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url = f"{self.tuya_base_url}/v1.0/devices"
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headers = {
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"Authorization": f"Bearer {self.tuya_access_token}",
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"Content-Type": "application/json"
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}
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response = requests.get(url, headers=headers)
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if response.status_code == 200:
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devices = response.json().get("devices", [])
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return [{"name": dev["name"], "id": dev["id"]} for dev in devices]
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print(f"Tuya API Response: {response.text}") # Debugging
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return []
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def validate_tokens(self):
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if not self.ezviz_access_token:
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return "EZVIZ access token is missing or invalid."
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if not self.tuya_access_token:
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return "Tuya access token is missing or invalid."
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return "Tokens validated successfully."
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def check_motion(self):
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"""Check for motion events from selected EZVIZ camera"""
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if not self.ezviz_access_token or not self.selected_camera:
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return False
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url = f"{self.ezviz_base_url}/devices/{self.selected_camera}/events"
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headers = {"Authorization": f"Bearer {self.ezviz_access_token}"}
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response = requests.get(url, headers=headers)
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if response.status_code == 200:
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events = response.json().get("events", [])
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current_time = time.time()
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for event in events:
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if (event.get("type") == "motion" and
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current_time - event.get("timestamp", 0) <= 30):
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return True
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return False
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def control_light(self, turn_on=True):
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"""Control selected Tuya device"""
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if not self.tuya_access_token or not self.selected_light:
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return False
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url = f"{self.tuya_base_url}/v1.0/devices/{self.selected_light}/commands"
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headers = {
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"Authorization": f"Bearer {self.tuya_access_token}",
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"Content-Type": "application/json"
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}
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command = {
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"commands": [
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{
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"code": "switch_led",
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"value": turn_on
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}
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]
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}
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response = requests.post(url, headers=headers, json=command)
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return response.status_code == 200
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def automation_loop(self):
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"""Main automation loop"""
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last_motion_time = 0
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while self.is_running:
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try:
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if self.check_motion():
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current_time = time.time()
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if current_time - last_motion_time > 30:
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message = f"Motion detected at {datetime.now()}"
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self.status_queue.put(message)
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if self.control_light(True):
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self.status_queue.put("Light turned on successfully")
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last_motion_time = current_time
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else:
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self.status_queue.put("Failed to control light")
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time.sleep(5)
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except Exception as e:
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self.status_queue.put(f"Error: {str(e)}")
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time.sleep(30)
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def create_ui():
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automation = EzvizTuyaAutomation()
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#
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return "
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camera_dropdown = gr.Dropdown(label="Select EZVIZ Camera", choices=[])
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light_dropdown = gr.Dropdown(label="Select Tuya Light", choices=[])
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with gr.Row():
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start_btn = gr.Button("Start Automation")
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stop_btn = gr.Button("Stop Automation")
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status_text = gr.Textbox(label="Status", interactive=False)
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# Update status every 5 seconds
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status_text.change(get_status, None, status_text, every=5)
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# Button click handlers
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save_btn.click(update_credentials,
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inputs=[ezviz_key, ezviz_secret, tuya_id, tuya_secret],
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outputs=gr.Textbox(label="Status"))
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validate_btn.click(automation.validate_tokens, None, validate_status)
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refresh_btn.click(get_devices,
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None,
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outputs=[camera_dropdown, light_dropdown])
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start_btn.click(start_automation,
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inputs=[camera_dropdown, light_dropdown],
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outputs=gr.Textbox(label="Status"))
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stop_btn.click(stop_automation,
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None,
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outputs=gr.Textbox(label="Status"))
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return app
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if __name__ == "__main__":
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app = create_ui()
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app.launch()
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import pandas as pd
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from openpyxl import load_workbook
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import gradio as gr
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import os
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# Function to extract and map data from the input workbook
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def transform_data(input_path, mapping_df):
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# Load the input workbook
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input_workbook = pd.ExcelFile(input_path)
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# Initialize a dictionary to store data for output
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output_data = {col: [] for col in mapping_df["PO Output Column"] if not pd.isna(col)}
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# Iterate through each mapping rule
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for _, row in mapping_df.iterrows():
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output_column = row["PO Output Column"]
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input_rule = row["UVM MMB POLY STICKER Column"]
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if pd.isna(output_column) or pd.isna(input_rule):
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continue
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# Handle fixed values
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if "Fixed" in input_rule:
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fixed_value = input_rule.split("-")[0].strip()
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output_data[output_column] = [fixed_value] * 1 # Placeholder for rows
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# TODO: Add logic to map specific columns from input workbook
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return pd.DataFrame(output_data)
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# Main processing function
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def process_files(input_workbook, mapping_file, output_template):
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try:
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# Load the data mapping file
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mapping_df = pd.read_excel(mapping_file, sheet_name="Output")
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# Transform the data
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transformed_data = transform_data(input_workbook, mapping_df)
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# Load the output template
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output_workbook = load_workbook(output_template)
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output_sheet = output_workbook["363040"]
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# Write transformed data to the output sheet
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for row_idx, row_data in enumerate(transformed_data.itertuples(index=False), start=2):
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for col_idx, value in enumerate(row_data, start=1):
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output_sheet.cell(row=row_idx, column=col_idx, value=value)
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# Save the generated output file
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output_file_path = "Generated_Output.xlsx"
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output_workbook.save(output_file_path)
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return output_file_path
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except Exception as e:
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return f"An error occurred: {e}"
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# Define the Gradio interface
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def generate_excel(input_workbook, mapping_file, output_template):
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result = process_files(input_workbook.name, mapping_file.name, output_template.name)
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if os.path.exists(result):
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return result
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else:
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return "An error occurred during file generation."
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with gr.Blocks() as app:
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gr.Markdown("# Excel Sheet Generator")
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gr.Markdown("Upload the input workbook, mapping file, and output template to generate the final Excel file.")
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with gr.Row():
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input_workbook = gr.File(label="Input Workbook", file_types=[".xlsx"])
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mapping_file = gr.File(label="Mapping File", file_types=[".xlsx"])
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output_template = gr.File(label="Output Template", file_types=[".xlsx"])
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output_file = gr.File(label="Generated Excel File")
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generate_button = gr.Button("Generate Excel File")
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generate_button.click(generate_excel, inputs=[input_workbook, mapping_file, output_template], outputs=[output_file])
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# Launch the app
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app.launch()
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