Update app.py

app.py

@@ -25,9 +25,9 @@ client = Together(api_key=TOGETHER_API_KEY)
 client_mistral = Mistral(api_key=MISTRAL_API_KEY)
 
 # Авторизация в сервисе GigaChat
-chat_pro = GigaChat(credentials=gc_key, model='GigaChat-Pro', max_tokens=68, verify_ssl_certs=False)
-chat_lite = GigaChat(credentials=gc_key, model='GigaChat', max_tokens=68, verify_ssl_certs=False)
-chat_plus = GigaChat(credentials=gc_key, model='GigaChat-Plus', max_tokens=68, verify_ssl_certs=False)
+chat_pro = GigaChat(credentials=gc_key, model='GigaChat-Pro', max_tokens=68, temperature=1, verify_ssl_certs=False)
+chat_lite = GigaChat(credentials=gc_key, model='GigaChat', max_tokens=68, temperature=1, verify_ssl_certs=False)
+chat_plus = GigaChat(credentials=gc_key, model='GigaChat-Plus', max_tokens=68, temperature=1, verify_ssl_certs=False)
 
 # Загрузка данных из Excel-файла
 try:
@@ -188,7 +188,8 @@ def generate_message_gpt4o(prompt):
         data = {
             "model": "chatgpt-4o-latest",
             "messages": [{"role": "system", "content": prompt}],
-            "max_tokens": 101
+            "max_tokens": 101,
+            "temperature": 1.1
         }
         response = requests.post("https://api.openai.com/v1/chat/completions", json=data, headers=headers)
         response_data = response.json()
@@ -240,7 +241,7 @@ def generate_message_meta_llama_3_1_405b(prompt):
             model="meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo",
             messages=[{"role": "user", "content": prompt}],
             max_tokens=74,
-            temperature=0.7
+            temperature=0.8
         )
         cleaned_message = clean_message(response.choices[0].message.content.strip())
         return cleaned_message
@@ -253,7 +254,7 @@ def generate_message_meta_llama_3_1_70b(prompt):
             model="meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo",
             messages=[{"role": "user", "content": prompt}],
             max_tokens=74,
-            temperature=0.7
+            temperature=0.8
         )
         cleaned_message = clean_message(response.choices[0].message.content.strip())
         return cleaned_message
@@ -266,7 +267,7 @@ def generate_message_meta_llama_3_1_8b(prompt):
             model="meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo",
             messages=[{"role": "user", "content": prompt}],
             max_tokens=74,
-            temperature=0.7
+            temperature=0.8
         )
         cleaned_message = clean_message(response.choices[0].message.content.strip())
         return cleaned_message
@@ -279,7 +280,7 @@ def generate_message_gemma_2_27b_it(prompt):
             model="google/gemma-2-27b-it",
             messages=[{"role": "user", "content": prompt}],
             max_tokens=74,
-            temperature=0.7
+            temperature=0.8
         )
         cleaned_message = clean_message(response.choices[0].message.content.strip())
         return cleaned_message
@@ -292,7 +293,7 @@ def generate_message_gemma_2_9b_it(prompt):
             model="google/gemma-2-9b-it",
             messages=[{"role": "user", "content": prompt}],
             max_tokens=74,
-            temperature=0.7
+            temperature=0.8
         )
         cleaned_message = clean_message(response.choices[0].message.content.strip())
         return cleaned_message
@@ -307,7 +308,8 @@ def generate_message_mistral(prompt):
                 {
                     "role": "user",
                     "content": prompt,
-                    "max_tokens": 74
+                    "max_tokens": 74,
+                    "temperature": 0.8
                 },
             ]
         )