Upload folder using huggingface_hub

.env

@@ -0,0 +1 @@
+DEEPSEEK_API_KEY=sk-4e8ed6219f2a4a46a0af24eac64d1d90

app.py

@@ -6,6 +6,8 @@ import json
 import os
 import datetime
 from pathlib import Path
+print("Current working directory:", os.getcwd())
+
 
 def load_usage():
     if USAGE_FILE.exists():
@@ -23,6 +25,8 @@ def save_usage(total_cost):
         }, f)
 
 load_dotenv(override=True)
+
+
 # client = OpenAI()
 
 client = OpenAI(
@@ -32,12 +36,14 @@ client = OpenAI(
 # === CONFIGURABLE BUDGET LIMIT (USD) ===
 USAGE_LIMIT_PER_DAY = 0.1  # USD
 USAGE_FILE = Path("daily_usage.json")
+print(f"Expected usage file at: {USAGE_FILE.resolve()}")
 total_cost = load_usage()
 
 
 # Pricing reference (as of 2024-06): adjust if needed
 PRICES = {
-    "gpt-4o-mini": {"input": 0.00025 / 1000, "output": 0.00025 / 1000}
+    "gpt-4o-mini": {"input": 0.00025 / 1000, "output": 0.00025 / 1000},
+    "deepseek-chat": {"input": 0.00027 / 1000, "output": 0.00007 / 1000}
 }
 
 
@@ -63,6 +69,7 @@ system_prompt += f"\n\n## Summary:\n{summary}\n\n## Resume:\n{resume}\n\n"
 system_prompt += f"With this context, please chat with the user, always staying in character as {name}."
 def chat(message, history):
     global total_cost
+    total_cost = load_usage()
     if total_cost >= USAGE_LIMIT_PER_DAY:
         return "Daily usage limit reached. Please try again tomorrow."
 
@@ -71,9 +78,10 @@ def chat(message, history):
     usage = response.usage
     input_tokens = usage.prompt_tokens
     output_tokens = usage.completion_tokens
-    cost = (input_tokens * PRICES["gpt-4o-mini"]["input"] +
-            output_tokens * PRICES["gpt-4o-mini"]["output"])
+    cost = (input_tokens * PRICES["deepseek-chat"]["input"] +
+            output_tokens * PRICES["deepseek-chat"]["output"])
     total_cost += cost
+    save_usage(total_cost)
     return response.choices[0].message.content
 gr.ChatInterface(chat, type="messages").launch()
 

daily_usage.json

@@ -0,0 +1 @@
+{"date": "2025-07-09", "total_cost": 0.012827749999999999}