From f80688a7380cb26ed098ee58f9f428309ef9c6d0 Mon Sep 17 00:00:00 2001
From: Kye <kye@apacmediasolutions.com>
Date: Fri, 20 Oct 2023 01:49:54 -0400
Subject: [PATCH] abstract model

Former-commit-id: d9a1d75c7c445422925391707ad212c19bbdcf81
---
 swarms/models/base.py | 73 ++++++++++++++++++++++++++++++++++++++-----
 1 file changed, 66 insertions(+), 7 deletions(-)

diff --git a/swarms/models/base.py b/swarms/models/base.py
index 63ee4db1..57045165 100644
--- a/swarms/models/base.py
+++ b/swarms/models/base.py
@@ -1,18 +1,77 @@
+import time
 from abc import ABC, abstractmethod
 
+def count_tokens(text: str) -> int:
+    return len(text.split())
 
 class AbstractModel(ABC):
+    """
+    AbstractModel
+
+    """
     # abstract base class for language models
-    def __init__():
-        pass
+    def __init__(self):
+        self.start_time = None
+        self.end_time = None
+        self.temperature = 1.0
+        self.max_tokens = None
+        self.history = ""
 
     @abstractmethod
-    def run(self, prompt):
-        # generate text using language model
+    def run(self, task: str) -> str:
+        """generate text using language model"""
         pass
 
-    def chat(self, prompt, history):
-        pass
+    def chat(self, task: str, history: str = "") -> str:
+        """Chat with the model"""
+        complete_task = task + " | " + history  # Delimiter for clarity
+        return self.run(complete_task)
+
+    def __call__(self, task: str) -> str:
+        """Call the model"""
+        return self.run(task)
+
+    def _sec_to_first_token(self) -> float:
+        # Assuming the first token appears instantly after the model starts
+        return 0.001
+
+    def _tokens_per_second(self) -> float:
+        """Tokens per second"""
+        elapsed_time = self.end_time - self.start_time
+        if elapsed_time == 0:
+            return float("inf")
+        return self._num_tokens() / elapsed_time
+    
+    def _num_tokens(self, text: str) -> int:
+        """Number of tokens"""
+        return count_tokens(text)
 
-    def __call__(self, task):
+    def _time_for_generation(self, task: str) -> float:
+        """Time for Generation"""
+        self.start_time = time.time()
+        output = self.run(task)
+        self.end_time = time.time()
+        return self.end_time - self.start_time
+
+    @abstractmethod
+    def generate_summary(self, text: str) -> str:
+        """Generate Summary"""
         pass
+
+    def set_temperature(self, value: float):
+        """Set Temperature"""
+        self.temperature = value
+
+    def set_max_tokens(self, value: int):
+        """Set new max tokens"""
+        self.max_tokens = value
+
+    def clear_history(self):
+        """Clear history"""
+        self.history = ""
+
+    def get_generation_time(self) -> float:
+        """Get generation time"""
+        if self.start_time and self.end_time:
+            return self.end_time - self.start_time
+        return 0