Update app.py

app.py

@@ -12,7 +12,7 @@ from pathlib import Path
 from langchain_huggingface import ChatHuggingFace, HuggingFaceEndpoint
 
 llm = HuggingFaceEndpoint(
-    repo_id="mistralai/Mixtral-8x7B-v0.1",
+    repo_id="mistralai/Mistral-7B-Instruct-v0.3",
     task="text-generation",
     max_new_tokens=4096,
     temperature=0.5,
@@ -41,12 +41,8 @@ def summarize(file, n_words):
     text = document.page_content
     text_splitter = RecursiveCharacterTextSplitter(chunk_size=3000, chunk_overlap=200)
     chunks = text_splitter.create_documents([text])
-    n_words = n_words
     template = '''
-    Your task is to summarize a long text into a detailed summary. 
-    Start with an introductory sentence and then summarize the main points in a logical order, ensuring the summary is very detailed.
-    
-    Here is the long text to summarize:
+    Your task is to summarize texts into a VERY detailed summaries. 
     
     Text:
     {TEXT}
@@ -55,7 +51,7 @@ def summarize(file, n_words):
         template=template,
         input_variables=['TEXT']    
     )
-    formatted_prompt = prompt.format(TEXT=text, N_WORDS=n_words)
+    formatted_prompt = prompt.format(TEXT=text)
     output_summary = llm_engine_hf.invoke(formatted_prompt)
     return output_summary.content