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Update app.py

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  1. app.py +41 -10
app.py CHANGED
@@ -1,23 +1,54 @@
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  import openai
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  import requests
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  def interpret_prompt(prompt):
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- # Call GPT model
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- response = openai.ChatCompletion.create(
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- model="gpt-4",
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- messages=[{"role": "user", "content": prompt}]
 
 
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  )
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- return response.choices[0].message['content']
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  def post_to_erp(accounting_entry):
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- # Example Odoo API call
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- url = "https://your-odoo-instance/api/account.move"
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- headers = {"Authorization": "Bearer YOUR_TOKEN"}
 
 
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  response = requests.post(url, json=accounting_entry, headers=headers)
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  return response.json()
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  prompt = "Received $245 from Tylor Smith today"
 
 
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  interpretation = interpret_prompt(prompt)
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- accounting_entry = map_to_journal_entry(interpretation) # You define this mapping
 
 
 
 
 
 
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  result = post_to_erp(accounting_entry)
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- print(result)
 
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  import openai
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  import requests
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+ # Initialize OpenAI client
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+ client = openai.OpenAI(api_key="YOUR_API_KEY") # Replace with your real API key
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+
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  def interpret_prompt(prompt):
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+ # Call OpenAI GPT model
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+ response = client.chat.completions.create(
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+ model="gpt-4", # You can also use "gpt-3.5-turbo" if preferred
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+ messages=[
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+ {"role": "user", "content": prompt}
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+ ]
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  )
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+ return response.choices[0].message.content
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+
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+ def map_to_journal_entry(interpretation):
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+ """
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+ This is a placeholder function.
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+ In real implementation, parse 'interpretation' to map correct accounts and amounts.
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+ For demo, returning dummy entry.
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+ """
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+ return {
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+ "date": "2025-05-02",
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+ "journal_id": 1, # Example journal
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+ "lines": [
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+ {"account_id": 101, "debit": 0, "credit": 245, "partner": "Tylor Smith"}, # AR
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+ {"account_id": 201, "debit": 245, "credit": 0, "partner": "Tylor Smith"} # Bank/Cash
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+ ]
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+ }
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  def post_to_erp(accounting_entry):
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+ url = "https://your-odoo-instance.com/api/account.move" # Replace with your Odoo API endpoint
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+ headers = {
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+ "Authorization": "Bearer YOUR_ODOO_API_TOKEN",
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+ "Content-Type": "application/json"
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+ }
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  response = requests.post(url, json=accounting_entry, headers=headers)
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  return response.json()
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+ # Example user prompt
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  prompt = "Received $245 from Tylor Smith today"
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+
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+ # Step 1: Interpret prompt
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  interpretation = interpret_prompt(prompt)
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+ print("AI Interpretation:", interpretation)
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+
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+ # Step 2: Map to journal entry
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+ accounting_entry = map_to_journal_entry(interpretation)
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+ print("Mapped Entry:", accounting_entry)
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+
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+ # Step 3: Post to ERP
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  result = post_to_erp(accounting_entry)
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+ print("ERP API Response:", result)