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diff --git a/g4f/.v1/gpt4free/deepai/README.md b/g4f/.v1/gpt4free/deepai/README.md
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-# DeepAI Wrapper
-Written by [ading2210](https://github.com/ading2210/).
-
-## Examples:
-These functions are generators which yield strings containing the newly generated text.
-
-### Completion:
-```python
-for chunk in deepai.Completion.create("Who are you?"):
-    print(chunk, end="", flush=True)
-print()
-```
-
-### Chat Completion:
-Use the same format for the messages as you would for the [official OpenAI API](https://platform.openai.com/docs/guides/chat/introduction).
-```python
-messages = [
-    {"role": "system", "content": "You are a helpful assistant."},
-    {"role": "user", "content": "Who won the world series in 2020?"},
-    {"role": "assistant", "content": "The Los Angeles Dodgers won the World Series in 2020."},
-    {"role": "user", "content": "Where was it played?"}
-]
-for chunk in deepai.ChatCompletion.create(messages):
-    print(chunk, end="", flush=True)
-print()
-```
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diff --git a/g4f/.v1/gpt4free/deepai/__init__.py b/g4f/.v1/gpt4free/deepai/__init__.py
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-import requests
-import json
-import hashlib
-import random
-import string
-from fake_useragent import UserAgent
-
-class ChatCompletion:
-    @classmethod
-    def md5(self, text):
-        return hashlib.md5(text.encode()).hexdigest()[::-1]
-
-    @classmethod
-    def get_api_key(self, user_agent):
-        part1 = str(random.randint(0, 10**11))
-        part2 = self.md5(user_agent+self.md5(user_agent+self.md5(user_agent+part1+"x")))
-        return f"tryit-{part1}-{part2}"
-
-    @classmethod
-    def create(self, messages):
-        user_agent = UserAgent().random
-        api_key = self.get_api_key(user_agent)
-        headers = {
-          "api-key": api_key,
-          "user-agent": user_agent
-        }
-        files = {
-          "chat_style": (None, "chat"),
-          "chatHistory": (None, json.dumps(messages))
-        }
-
-        r = requests.post("https://api.deepai.org/chat_response", headers=headers, files=files, stream=True)
-
-        for chunk in r.iter_content(chunk_size=None):
-            r.raise_for_status()
-            yield chunk.decode()
-
-class Completion:
-    @classmethod
-    def create(self, prompt):
-        return ChatCompletion.create([
-            {
-                "role": "user", 
-                "content": prompt
-            }
-        ])
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