diff --git a/.gitignore b/.gitignore
index fd3dbb5..9fd9904 100644
--- a/.gitignore
+++ b/.gitignore
@@ -34,3 +34,8 @@ yarn-error.log*
 # typescript
 *.tsbuildinfo
 next-env.d.ts
+config.py
+__pycache__/
+.idea/braintok-2.iml
+*.pdf
+.idea/
\ No newline at end of file
diff --git a/main.py b/main.py
index e2af2ef..0f82984 100644
--- a/main.py
+++ b/main.py
@@ -1,22 +1,34 @@
+
 from config import API_KEY
 from openai import OpenAI
 from fileFormatConverter import convert_file
-client = OpenAI(api_key=API_KEY)
 
 
 def main():
-    inputFileName = input("enter input file name with extension (supported types: pdf, docx): ")
-    outputFileName = input("enter output file name without extension:")
-    convert_file(inputFileName, outputFileName)
+    #inputFileName = input("enter input file name with extension (supported types: pdf, docx): ")
+    #  outputFileName = input("enter output file name without extension:")
 
-    with open(f'{outputFileName}.jsonl', 'rb') as file:
-        file_response = client.files.create(
-            file=file,
-            purpose="fine-tune"
-        )
+    inputFileName = "HW07.pdf"
+    outputFileName = "demo"
+    convert_file(inputFileName, outputFileName)
+    client = OpenAI(api_key=API_KEY)
+
+    with open(f'{outputFileName}.jsonl', 'r') as file:
+        # file_response = client.files.create(
+        #     file=file,
+        #     purpose="fine-tune"
+        # )
+        # fine_tuned_model = client.fine_tuning.jobs.create(
+        #     training_file=file_response.id,
+        #     model="gpt-4o-mini-2024-07-18"
+        # )
+        homework = file.read()
         stream = client.chat.completions.create(
-            model="gpt-4o",
-            messages=[{"role": "user", "content": "Give me an estimation how long this homework will take me"}],
+            model="gpt-4o-mini-2024-07-18",
+            messages=[{"role": "user", "content": f"""
+            This is my homework: {homework}
+            If this homework consists of several separate problems, split them.
+            For each problem give me problem number, problem name, and problem text"""}],
             stream=True,
         )
         for chunk in stream: