Update app.py

app.py

@@ -30,7 +30,7 @@ user_state = gr.State(value="")
 
 load_dotenv()
 
-client = InferenceClient("models/meta-llama/Meta-Llama-3-8B")
+client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
 default_lang = "en"
 engines = {default_lang: Model(default_lang)}
 image_path = "picturePerformance.jpg"
@@ -54,12 +54,12 @@ def model(conversation):
         "[SYSTEM] You are OralCoach, an AI-powered conversational coach. Guide the student through their oral responses "
     )
     generate_kwargs = dict(
-        temperature=0.7,
+        temperature=0.6,
         max_new_tokens=512,
         top_p=0.95,
         repetition_penalty=1,
         do_sample=True,
-        seed=42,
+        seed=29,
     )
     formatted_prompt = "\n".join([f"{msg['role'].upper()}: {msg['content']}" for msg in conversation])
     stream = client.text_generation(