add deepai wrapper

gpt4free/__init__.py

@@ -15,6 +15,7 @@ class Provider(Enum):
     ForeFront = 'fore_front'
     Theb = 'theb'
     UseLess = 'useless'
+    DeepAI = 'deepai'
 
 
 class Completion:
@@ -40,6 +41,8 @@ class Completion:
             return Completion.__theb_service(prompt, **kwargs)
         elif provider == Provider.UseLess:
             return Completion.__useless_service(prompt, **kwargs)
+        elif provider == Provider.DeepAI:
+            return Completion.__deepai_service(prompt, **kwargs)
         else:
             raise Exception('Provider not exist, Please try again')
 
@@ -62,4 +65,7 @@ class Completion:
     @staticmethod
     def __theb_service(prompt: str, **kwargs):
         return ''.join(theb.Completion.create(prompt=prompt))
-
+    
+    @staticmethod
+    def __deepai_service(prompt: str, **kwargs):
+        return ''.join(deepai.Completion.create(prompt=prompt))

gpt4free/deepai/README.md

@@ -0,0 +1,26 @@
+# 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()
+```

gpt4free/deepai/__init__.py

@@ -0,0 +1,46 @@
+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
+            }
+        ])

testing/deepai_test.py

@@ -0,0 +1,18 @@
+from gpt4free import deepai
+
+#single completion
+for chunk in deepai.Completion.create("Write a list of possible vacation destinations:"):
+    print(chunk, end="", flush=True)
+print()
+
+#chat completion
+print("==============")
+messages = [ #taken from the openai docs
+    {"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()