Update zefir7b_api.py

zefir7b_api.py

@@ -1,40 +1,40 @@
-import aiohttp
-import json
-import traceback
-
-HUGGINGFACE_TOKEN = 'указать токен'
-MODEL = "HuggingFaceH4/zephyr-7b-beta"
-
-async def call_huggingface_api(messages, temperature=0.95, top_k=50, top_p=0.9, num_return_sequences=1000):
-    url = f"https://api-inference.huggingface.co/models/{MODEL}"
-    headers = {"Authorization": f"Bearer {HUGGINGFACE_TOKEN}"}
-    data = {
-        "inputs": "\n".join([f"{msg['role']}: {msg['content']}" for msg in messages]),
-        "options": {
-            "temperature": temperature,
-            "top_k": top_k,
-            "top_p": top_p,
-            "max_length": 1000,
-            "no_repeat_ngram_size": 3,
-            "do_sample": True,
-            "num_return_sequences": num_return_sequences,
-            "no_repeat_ngram_size": 3,
-            "repetition_penalty": 1.2,
-            "length_penalty": 1.0,
-            "early_stopping": True,
-        }
-    }
-
-    try:
-        async with aiohttp.ClientSession() as session:
-            async with session.post(url, headers=headers, json=data) as resp:
-                if resp.status == 200:
-                    response = await resp.json()
-                    return response
-                else:
-                    print(f"Error calling Hugging Face API: {resp.status}, {await resp.text()}")
-                    return None
-    except Exception as e:
-        print(f"Error calling Hugging Face API: {e}")
-        print(traceback.format_exc())
-        return None
+import aiohttp
+import json
+import traceback
+
+HUGGINGFACE_TOKEN = ' чяяяяяяяяяяяяяяяяяяяяяяяяяяяяяяяяяяяяяяяяяяяя'
+MODEL = "HuggingFaceH4/zephyr-7b-beta"
+
+async def call_huggingface_api(messages, temperature=0.95, top_k=50, top_p=0.9, num_return_sequences=1000):
+    url = f"https://api-inference.huggingface.co/models/{MODEL}"
+    headers = {"Authorization": f"Bearer {HUGGINGFACE_TOKEN}"}
+    data = {
+        "inputs": "\n".join([f"{msg['role']}: {msg['content']}" for msg in messages]),
+        "options": {
+            "temperature": temperature,
+            "top_k": top_k,
+            "top_p": top_p,
+            "max_length": 1000,
+            "no_repeat_ngram_size": 3,
+            "do_sample": True,
+            "num_return_sequences": num_return_sequences,
+            "no_repeat_ngram_size": 3,
+            "repetition_penalty": 1.2,
+            "length_penalty": 1.0,
+            "early_stopping": True,
+        }
+    }
+
+    try:
+        async with aiohttp.ClientSession() as session:
+            async with session.post(url, headers=headers, json=data) as resp:
+                if resp.status == 200:
+                    response = await resp.json()
+                    return response
+                else:
+                    print(f"Error calling Hugging Face API: {resp.status}, {await resp.text()}")
+                    return None
+    except Exception as e:
+        print(f"Error calling Hugging Face API: {e}")
+        print(traceback.format_exc())
+        return None