Update app.py

app.py

@@ -13,9 +13,6 @@ 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)
-    # genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
-    # model = genai.GenerativeModel('gemini-pro')
-    # model = ChatGoogleGenerativeAI(model="gemini-pro", temperature=0.3)
     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" \n\n
                           Context: \n {context}?\n
@@ -28,8 +25,9 @@ async def initialize(file_path, question):
         pages = pdf_loader.load_and_split()
         context = "\n".join(f"Page {i+1}: {page.page_content}" for i, page in enumerate(pages[:30]))
         stuff_chain = load_qa_chain(model, chain_type="stuff", prompt=prompt)
-        # Refactor the below line to make sure it returns an awaitable object
-        stuff_answer = await stuff_chain.arun({"input_documents": pages, "question": question, "context": context})
+        
+        # Use ainvoke instead of arun
+        stuff_answer = await stuff_chain.ainvoke({"input_documents": pages, "question": question, "context": context})
         
         # Extract the page number where the context was found
         sources = []
@@ -45,7 +43,7 @@ async def initialize(file_path, question):
         # Add the clickable link to the source
         file_name = os.path.basename(file_path)
         source_link = f"[{file_name}](file://{os.path.abspath(file_path)})"
-        return f"{stuff_answer['output_text']} {source_str} - [Document: {source_link}]"
+        return f"{stuff_answer} {source_str} - [Document: {source_link}]"
     else:
         return "Error: Unable to process the document. Please ensure the PDF file is valid."
 
@@ -59,5 +57,5 @@ async def pdf_qa(file, question):
     answer = await initialize(file.name, question)
     return answer
 
-# Create Gradio Interface
-gr.Interface(fn=pdf_qa, inputs=[input_file, input_question], outputs=output_text, title="PDF Question Answering System", description="Upload a PDF file and ask questions about the content.").launch()
+# Create Gradio Interface with share=True to enable a public link
+gr.Interface(fn=pdf_qa, inputs=[input_file, input_question], outputs=output_text, title="PDF Question Answering System", description="Upload a PDF file and ask questions about the content.").launch(share=True)