Spaces:
Sleeping
Sleeping
costs
Browse files
bill.py
CHANGED
@@ -78,12 +78,14 @@ def parseBill(data):
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return {
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}
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@@ -129,6 +131,29 @@ def process_query(query, user_id, model_name):
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return context
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def main():
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st.title("Telecom Bill Chat with LLM Agent")
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@@ -140,41 +165,54 @@ def main():
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user_id = st.sidebar.text_input("Introdu numărul de telefon:")
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# display the user data if the user_id is set
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#st.write(f"User ID: {user_id}")
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if user_id and user_id != st.session_state.user_id:
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data = load_user_data(user_id)
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if data:
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st.session_state.user_id = user_id
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st.success("Utilizator găsit!")
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else:
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st.warning("Nu am găsit date pentru acest ID.
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st.session_state.user_id = user_id
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uploaded_file = st.file_uploader("Upload JSON Bill", type="json")
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if uploaded_file and st.session_state.user_id:
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bill_data = json.load(uploaded_file)
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parsed_bill = parseBill(bill_data)
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existing_data = load_user_data(st.session_state.user_id)
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# Check if the billNo already exists in the existing data
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existing_bill_nos = [bill.get("billNo") for bill in existing_data.get("bills", [])]
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if parsed_bill.get("billNo") in existing_bill_nos:
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st.warning("Factura existentă.")
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else:
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if "bills" not in existing_data:
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existing_data["bills"] = []
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existing_data["bills"].append(parsed_bill)
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save_user_data(st.session_state.user_id, existing_data)
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st.success("Factura a fost încărcată și salvată cu succes!")
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if st.session_state.user_id:
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data = load_user_data(st.session_state.user_id)
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st.write(f"Numar telefon: {st.session_state.user_id}")
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st.write("Facturi existente:")
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for bill in data.get("bills", []):
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st.write(bill)
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else:
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st.info("Introduceți un ID și/sau încărcați o factură JSON pentru a continua.")
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# Initialize conversation in the session state
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# "context_prompt_added" indicates whether we've added the specialized "bill info" context yet.
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@@ -193,7 +231,7 @@ def main():
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if prompt := st.chat_input("Introduceți întrebarea aici:"):
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if not st.session_state.user_id:
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st.error("Trebuie să
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return
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# If the context prompt hasn't been added yet, build & inject it once;
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st.write("Completion tokens:", completion.usage.completion_tokens)
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st.write("Total tokens:", completion.usage.total_tokens)
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if __name__ == "__main__":
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main()
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return {
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"Data Factura": billDate,
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"Serie numar factura": billNo,
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"De plata": amountDue,
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"Costuri suplimentare": extraCharge,
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"Total plata factura": totalBillCosts,
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"Costuri utilizatori": subscriberCosts,
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"Lista categorii": list(categories),
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"Lista costuri": list(names)
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}
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return context
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# import the datetime class from the datetime module
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from datetime import datetime
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def log_conversation(user_id, user_query, assistant_response, tokens, cost):
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log_entry = {
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"timestamp": datetime.now().isoformat(),
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"user_id": user_id,
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"user_query": user_query,
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"assistant_response": assistant_response,
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"tokens": tokens,
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"cost": cost
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}
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log_file_path = os.path.join("logs", "conversation_logs.json")
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os.makedirs(os.path.dirname(log_file_path), exist_ok=True)
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if os.path.exists(log_file_path):
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with open(log_file_path, "r") as log_file:
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logs = json.load(log_file)
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else:
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logs = []
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logs.append(log_entry)
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with open(log_file_path, "w") as log_file:
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json.dump(logs, log_file, indent=4)
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def main():
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st.title("Telecom Bill Chat with LLM Agent")
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user_id = st.sidebar.text_input("Introdu numărul de telefon:")
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# display the user data if the user_id is set
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#st.write(f"User ID: {user_id}")
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st.session_state.user_data = None
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if user_id and user_id != st.session_state.user_id:
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data = load_user_data(user_id)
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st.session_state.user_data = data
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if data:
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st.session_state.user_id = user_id
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st.success("Utilizator găsit!")
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st.write(f"Numar telefon: {st.session_state.user_id}")
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st.session_state.user_data = data
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else:
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st.warning("Nu am găsit date pentru acest ID.")
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st.warning("Încărcați o factură json.")
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st.session_state.user_id = user_id
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st.session_state.user_data = None
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# If the user has no data yet Show the upload (st.file_uploader...) dialog ,
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# If the user has stored data in data\user_data\"user_data{user_id}.json, display the existing bills data - st.write(bill) but compacted
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if st.session_state.user_data:
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st.write("Facturi existente (extras):")
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for bill in st.session_state.user_data.get("bills", []):
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st.write({
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"Data factura": bill.get("billDate"),
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"Numar serie factura": bill.get("billNo"),
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"De plata": bill.get("amountDue"),
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"Costuri suplimentare": bill.get("extraCharge")
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})
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if not st.session_state.user_data:
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uploaded_file = st.file_uploader("Incarca factura", type="json")
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if uploaded_file and st.session_state.user_id:
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bill_data = json.load(uploaded_file)
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parsed_bill = parseBill(bill_data)
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existing_data = load_user_data(st.session_state.user_id)
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# Check if the billNo already exists in the existing data
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existing_bill_nos = [bill.get("billNo") for bill in existing_data.get("bills", [])]
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if parsed_bill.get("billNo") in existing_bill_nos:
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st.warning("Factură existentă.")
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else:
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if "bills" not in existing_data:
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existing_data["bills"] = []
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existing_data["bills"].append(parsed_bill)
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save_user_data(st.session_state.user_id, existing_data)
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st.success("Factura a fost încărcată și salvată cu succes!")
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# Initialize conversation in the session state
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# "context_prompt_added" indicates whether we've added the specialized "bill info" context yet.
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if prompt := st.chat_input("Introduceți întrebarea aici:"):
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if not st.session_state.user_id:
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st.error("Trebuie să introduci un număr de telefon valid sau să încarci date.")
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return
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# If the context prompt hasn't been added yet, build & inject it once;
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st.write("Completion tokens:", completion.usage.completion_tokens)
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st.write("Total tokens:", completion.usage.total_tokens)
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# Estimate cost per conversation (find the OpenAI costs for gpt-4o and gpt-4o-mini model per token)
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prompt_tokens = completion.usage.prompt_tokens
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completion_tokens = completion.usage.completion_tokens
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total_tokens = completion.usage.total_tokens
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# Estimate cost per conversation
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if model_name == "gpt-4o":
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cost_per_token = 0.03 / 1000 # $0.03 per 1,000 tokens
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elif model_name == "gpt-4o-mini":
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cost_per_token = 0.015 / 1000 # $0.015 per 1,000 tokens
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estimated_cost = total_tokens * cost_per_token
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st.write("Estimated cost:", estimated_cost)
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# Log the conversation
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log_conversation(
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st.session_state["user_id"],
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prompt,
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response_text,
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{
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"prompt_tokens": prompt_tokens,
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"completion_tokens": completion_tokens,
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"total_tokens": total_tokens
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},
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estimated_cost
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)
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if __name__ == "__main__":
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main()
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