added chess file

chess.py

@@ -0,0 +1,44 @@
+import requests
+import json
+import base64
+
+def get_base64(file_path: str) -> str:
+        with open(file_path, "rb") as f:
+            base64_data = base64.b64encode(f.read()).decode('utf-8')
+            return base64_data
+
+def fen_notation(image_path:str, current_player:str)->str:
+    chessvisionai_url = "http://app.chessvision.ai/predict"
+    base64_image = get_base64(image_path)
+    base64_image_encoded = f"data:image/png;base64,{base64_image}"
+    current_player = 'black'
+    if current_player not in ["black", "white"]:
+        raise ValueError("current_player must be 'black' or 'white'")
+    payload = {
+        "board_orientation": "predict",
+        "cropped": False,
+        "current_player": current_player,
+        "image": base64_image_encoded,
+        "predict_turn": False
+    }
+    response = requests.post(chessvisionai_url
+                                , json=payload)
+    if response.status_code == 200:
+        fen_notation = response.json()['result'].replace('_', ' ')
+        return fen_notation
+    else:
+        raise Exception('Error retrieving fen' + response.status_code + response.text)
+        
+def chess_analysis(fen_notation:str)->str:
+    chess_api = "https://chess-api.com/v1"
+    url = chess_api
+    payload = {
+        "fen": fen_notation
+            }
+    chess_response = requests.post(url, json=payload)
+    if chess_response.status_code == 200:
+        best_move = chess_response.json().get('san')
+        return best_move
+    else:
+        raise Exception(f'Error occurred {chess_response.status_code} {chess_response.text}')
+