Update app.py

app.py

@@ -11,7 +11,7 @@ from langchain.chains.question_answering import load_qa_chain  # Import load_qa_
 async def initialize(file_path, question):
     genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
     model = genai.GenerativeModel('gemini-pro')
-    model = ChatGoogleGenerativeAI(model="gemini-pro", temperature=0.3)
+    model = ChatGoogleGenerativeAI(model="gemini-pro", temperature=0.0)
     
     # Refined prompt template to encourage precise and concise answers
     prompt_template = """Answer the question precisely and concisely using the provided context. Avoid any additional commentary or system messages.
@@ -33,7 +33,7 @@ async def initialize(file_path, question):
         
         # Extract content from each page and store along with page number
         page_contexts = [f"Page {i+1}: {page.page_content}" for i, page in enumerate(pages)]
-        context = "\n".join(page_contexts[:30])  # Using the first 30 pages for context
+        context = "\n".join(page_contexts)  # Using the first 30 pages for context
         
         # Load the question-answering chain
         stuff_chain = load_qa_chain(model, chain_type="stuff", prompt=prompt)