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unfinished/vercelai/__init__.py

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+import requests
+
+class Completion:
+    def create(prompt: str,
+        model: str = 'openai:gpt-3.5-turbo',
+        temperature: float = 0.7,
+        max_tokens: int = 200,
+        top_p: float = 1,
+        top_k: int = 1,
+        frequency_penalty: float = 1,
+        presence_penalty: float = 1,
+        stopSequences: list = []):
+        
+        token = requests.get('https://play.vercel.ai/openai.jpeg', headers={
+            'authority': 'play.vercel.ai',
+            'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
+            'referer': 'https://play.vercel.ai/',
+            'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36'}).text.replace('=','')
+        
+        print(token)
+
+        headers = {
+            'authority': 'play.vercel.ai',
+            'custom-encoding': token,
+            'origin': 'https://play.vercel.ai',
+            'referer': 'https://play.vercel.ai/',
+            'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36'
+        }
+
+        for chunk in requests.post('https://play.vercel.ai/api/generate', headers=headers, stream=True, json={
+                'prompt': prompt,
+                'model': model,
+                'temperature': temperature,
+                'maxTokens': max_tokens,
+                'topK': top_p,
+                'topP': top_k,
+                'frequencyPenalty': frequency_penalty,
+                'presencePenalty': presence_penalty,
+                'stopSequences': stopSequences}).iter_lines():
+            
+            yield (chunk)