Update app.py

app.py

@@ -6,9 +6,9 @@ from sentence_transformers import SentenceTransformer
 
 
 def generate_prompts(user_input):
-    prompt_template = PromptTemplate.from_template(
+    prompt_template = PromptTemplate(
         input_variables=["Question"],
-        template=f"Just list 10 quetion prompts for {user_input} and don't put number before each of the prompts."
+        template= f"Your task is to formulate 5 unique queries for each given question. These queries must adhere to the criteria of relevance and diversity.write the questions in seperate lines.{user_input} "
     )
     config = {'max_new_tokens': 2048, 'temperature': 0.7, 'context_length': 4096}
     llm = CTransformers(model="TheBloke/Mistral-7B-Instruct-v0.1-GGUF",
@@ -17,11 +17,16 @@ def generate_prompts(user_input):
     hub_chain = LLMChain(prompt = prompt_template, llm = llm)
 
     input_data = {"Question": user_input}
-    
+
+    # Here you would integrate your prompt template with your model
+    # For demonstration, this is just a placeholder
     generated_prompts = hub_chain.run(input_data)  
     questions_list = generated_prompts.split('\n') 
+    
+
     formatted_questions = "\n".join(f"Question: {question}" for i, question in enumerate(questions_list) if question.strip())
     questions_list = formatted_questions.split("Question:")[1:]
+    
     return questions_list
 
 def answer_question(prompt):