Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -7,22 +7,25 @@ tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')
|
|
7 |
model = BertModel.from_pretrained("bert-base-uncased")
|
8 |
|
9 |
def answer_query(question, context):
|
10 |
-
|
11 |
-
|
12 |
|
13 |
-
|
14 |
-
|
15 |
-
|
16 |
-
start_scores, end_scores = outputs.start_logits, outputs.end_scores
|
17 |
|
18 |
-
|
19 |
-
|
20 |
-
|
21 |
|
22 |
-
|
23 |
-
|
|
|
24 |
|
25 |
-
|
|
|
|
|
|
|
26 |
|
27 |
# Streamlit app
|
28 |
st.title("Question Answering App")
|
@@ -34,15 +37,15 @@ user_query = st.text_input("Enter your question:")
|
|
34 |
uploaded_file = st.file_uploader("Upload a context file (txt):")
|
35 |
|
36 |
if uploaded_file is not None:
|
37 |
-
|
38 |
-
|
39 |
else:
|
40 |
-
|
41 |
-
|
42 |
|
43 |
# Answer the query if a question is provided
|
44 |
if user_query:
|
45 |
-
|
46 |
-
|
47 |
else:
|
48 |
-
|
|
|
7 |
model = BertModel.from_pretrained("bert-base-uncased")
|
8 |
|
9 |
def answer_query(question, context):
|
10 |
+
# Preprocess the question and context using the tokenizer
|
11 |
+
inputs = tokenizer(question, context, return_tensors="pt")
|
12 |
|
13 |
+
# Use the model to get the answer
|
14 |
+
with torch.no_grad():
|
15 |
+
outputs = model(**inputs)
|
|
|
16 |
|
17 |
+
# Access the logits from the model's output structure
|
18 |
+
start_logits = outputs.hidden_states[-1][:, 0, :] # Access from hidden states
|
19 |
+
end_logits = outputs.hidden_states[-1][:, 1, :]
|
20 |
|
21 |
+
# Find the most likely answer span
|
22 |
+
answer_start = torch.argmax(start_logits)
|
23 |
+
answer_end = torch.argmax(end_logits) + 1
|
24 |
|
25 |
+
# Extract the answer from the context
|
26 |
+
answer = tokenizer.convert_tokens_to_string(context)[answer_start:answer_end]
|
27 |
+
|
28 |
+
return answer
|
29 |
|
30 |
# Streamlit app
|
31 |
st.title("Question Answering App")
|
|
|
37 |
uploaded_file = st.file_uploader("Upload a context file (txt):")
|
38 |
|
39 |
if uploaded_file is not None:
|
40 |
+
# Read the uploaded file content
|
41 |
+
context = uploaded_file.read().decode("utf-8")
|
42 |
else:
|
43 |
+
# Use default context if no file uploaded
|
44 |
+
context = "This is a sample context for demonstration purposes. You can upload your own text file for context."
|
45 |
|
46 |
# Answer the query if a question is provided
|
47 |
if user_query:
|
48 |
+
answer = answer_query(user_query, context)
|
49 |
+
st.write(f"Answer: {answer}")
|
50 |
else:
|
51 |
+
st.write("Please enter a question.")
|