Update app.py

app.py

@@ -5,7 +5,6 @@ import pdfplumber
 import streamlit as st
 import faiss
 from sentence_transformers import SentenceTransformer
-from groq import Groq
 
 # Constants
 DOCUMENT_URL = "https://drive.google.com/file/d/1XvqA1OIssRs2gbmOtKFKj-02yQ5X2yg0/view?usp=sharing"
@@ -59,8 +58,8 @@ def query_faiss(query, index, chunks, model, k=5):
 
 # Streamlit application
 def main():
-    st.title("RAG-based Application")
-    st.write("This application uses a pre-configured document as the dataset for query responses.")
+    st.title("Document-Based Query Application")
+    st.write("This application uses a pre-configured document as the dataset for answering queries.")
 
     # Download and process the document
     st.write("Processing the pre-configured document...")
@@ -83,21 +82,6 @@ def main():
         for i, result in enumerate(results):
             st.write(f"{i+1}. {result}")
 
-    # Groq API interaction
-    groq_api_key = os.environ.get("GROQ_API_KEY")  # Fetch API key from Hugging Face Secrets
-    if groq_api_key:
-        client = Groq(api_key=groq_api_key)
-        if query:
-            st.write("Fetching response from Groq API...")
-            chat_completion = client.chat.completions.create(
-                messages=[{"role": "user", "content": query}],
-                model="llama-3.3-70b-versatile"
-            )
-            st.write("Response:")
-            st.write(chat_completion.choices[0].message.content)
-    else:
-        st.error("Groq API key not configured in Hugging Face Secrets.")
-
 if __name__ == "__main__":
     main()