Update app.py

app.py

@@ -20,7 +20,15 @@ def initialize(pdf_file, question):
                 pdf_loader = PyPDFLoader(file_path)
                 pages = pdf_loader.load_and_split()
                 context = "\n".join(str(page.page_content) for page in pages[:30])  # Limit to first 30 pages
-                # ... rest of your code for processing the PDF using context and question
+
+                # Configure Google Generative AI (replace with your API key)
+                model = genai.GenerativeModel('gemini-pro')
+                model = ChatGoogleGenerativeAI(model="gemini-pro", temperature=0.3)
+
+                stuff_chain = load_qa_chain(model, chain_type="stuff", prompt=prompt)
+                stuff_answer = stuff_chain({"input_documents": pages, "question": question, "context": context}, return_only_outputs=True)
+
+                return stuff_answer['output_text']
             else:
                 return "Error: The uploaded file could not be found."
         else:
@@ -29,23 +37,6 @@ def initialize(pdf_file, question):
     except Exception as e:
         return f"An error occurred: {e}"  # Generic error handling
 
-# Configure Google Generative AI (replace with your API key)
-genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
-
-# Prompt template for formatting context and question
-prompt_template = """Answer the question as precise as possible using the provided context. If the answer is not contained in the context, say "answer not available in context" 
-
-Context: 
-{context}
-
-Question: 
-{question} 
-
-Answer:
-"""
-
-prompt = PromptTemplate(template=prompt_template, input_variables=["context", "question"])
-
 # Create a Gradio interface
 interface = gr.Interface(
     fn=initialize,
@@ -64,3 +55,4 @@ interface.launch()
 
 
 
+