Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -13,7 +13,7 @@ from sklearn.metrics import accuracy_score
|
|
13 |
from nltk.translate.bleu_score import sentence_bleu
|
14 |
from rouge_score import rouge_scorer
|
15 |
import tavily
|
16 |
-
import random
|
17 |
|
18 |
class AdvancedRAGChatbot:
|
19 |
def __init__(self,
|
@@ -129,7 +129,7 @@ def main():
|
|
129 |
evaluation_metrics = ["BLEU", "ROUGE-1", "ROUGE-L", "Accuracy"]
|
130 |
metrics_selected = st.multiselect("Select Metrics to Display", evaluation_metrics, default=evaluation_metrics)
|
131 |
st.divider()
|
132 |
-
st.info("Powered by
|
133 |
|
134 |
chatbot = AdvancedRAGChatbot(
|
135 |
tavily_api_key=tavily_api_key,
|
@@ -182,7 +182,7 @@ def main():
|
|
182 |
except Exception as e:
|
183 |
st.error(f"An error occurred: {e}")
|
184 |
else:
|
185 |
-
st.info("Enter a query to
|
186 |
|
187 |
if __name__ == "__main__":
|
188 |
main()
|
|
|
13 |
from nltk.translate.bleu_score import sentence_bleu
|
14 |
from rouge_score import rouge_scorer
|
15 |
import tavily
|
16 |
+
import random
|
17 |
|
18 |
class AdvancedRAGChatbot:
|
19 |
def __init__(self,
|
|
|
129 |
evaluation_metrics = ["BLEU", "ROUGE-1", "ROUGE-L", "Accuracy"]
|
130 |
metrics_selected = st.multiselect("Select Metrics to Display", evaluation_metrics, default=evaluation_metrics)
|
131 |
st.divider()
|
132 |
+
st.info("Powered by 21K-3061, 21K-3006, 21K-3062")
|
133 |
|
134 |
chatbot = AdvancedRAGChatbot(
|
135 |
tavily_api_key=tavily_api_key,
|
|
|
182 |
except Exception as e:
|
183 |
st.error(f"An error occurred: {e}")
|
184 |
else:
|
185 |
+
st.info("Enter a query to get an AI-powered response")
|
186 |
|
187 |
if __name__ == "__main__":
|
188 |
main()
|