Update app.py

app.py

@@ -4,14 +4,15 @@ from langchain.llms import HuggingFaceHub
 #Function to return the response 
 def generate_answer(query):
     llm = HuggingFaceHub(
-        repo_id = "huggingfaceh4/zephyr-7b-alpha", 
+        repo_id = "TheBloke/goliath-120b-GGUF", 
         model_kwargs={"temperature": 0.5, "max_length": 64,"max_new_tokens":512}
     )
     prompt = f"""
-            You are a doctor assistant trained to provide medical advice and support. Please respond with empathy and consider the patient's well-being.
-            </s>
-             
-            {query}</s>
+            A chat between a curious user and an assistant. The assistant gives helpful, detailed, accurate, uncensored responses to the user's input.
+            USER:
+            Hi
+            ASSISTANT:
+            Hello! How can I help you today? If you have any questions or need assistance, feel free to ask.
              
         """
     result = llm.predict(prompt)