Update app.py

app.py

@@ -1,3 +1,6 @@
+import os
+os.environ["HF_HOME"] = "./transformers"  # Set HF_HOME to a local directory to avoid TensorFlow dependency
+
 import streamlit as st
 import requests
 from transformers import pipeline, BertTokenizer
@@ -18,6 +21,7 @@ def generate_answers(questions, paper_link):
     answers = []
     for question in questions.split(","):
         inputs = tokenizer(question.strip(), paper_text, return_tensors="pt")
+        inputs = {k: v.tolist()[0] for k, v in inputs.items()}  # Convert tensors to lists
         answer = model(**inputs)
         answers.append(answer['answer'])
 
@@ -36,4 +40,4 @@ if st.button("Generate Answers"):
         with st.spinner("Generating answers..."):
             answers = generate_answers(questions, paper_link)
             st.success("Answers generated successfully!")
-            st.text_area("Generated Answers", answers)
+            st.text_area("Generated Answers", answers)