Update app.py

app.py

@@ -64,9 +64,15 @@ def answer_question(question, documents):
     context = "\n\n".join([doc.page_content for doc in documents])
     full_context = f"{context}"
     prompt = ChatPromptTemplate.from_template(template)
-    chain = prompt | client  # Send the prompt to Hugging Face's model via InferenceClient
+    
+    # Use the prompt and send it directly to the Hugging Face model
+    question_with_context = prompt.format(question=question, context=full_context)
+    
+    # Use the client (InferenceClient) to get a response
+    response = client.query(question_with_context)
+    
+    return response["generated_text"]  # Assuming the response is in "generated_text"
 
-    return chain.invoke({"question": question, "context": full_context})
 
 # Streamlit file uploader for PDF
 uploaded_file = st.file_uploader(