Update app.py

app.py

@@ -13,7 +13,7 @@ documents = [
 ]
 
 # Initialize models and FAISS index
-embedder = SentenceTransformer('all-MiniLM-L6-v2')
+embedder = SentenceTransformer('all-MiniLM-L6-v2') #converts text to vectors
 generator = pipeline('text2text-generation', model='google/flan-t5-base')
 
 # Process documents and create FAISS index
@@ -30,7 +30,7 @@ def answer_question(question):
     
     # Generate answer
     prompt = f"Answer based on context: {context}\nQuestion: {question}\nAnswer:"
-    return generator(prompt, max_length=200)[0]['generated_text']
+    return generator(prompt, max_length=1000)[0]['generated_text']
 
 # Gradio interface
 interface = gr.Interface(