Upload streamapp.py

streamapp.py

@@ -3,6 +3,9 @@ import json
 import pandas as pd
 import time
 
+import phoenix as px
+from phoenix.trace.langchain import OpenInferenceTracer, LangChainInstrumentor
+
 #from hallucinator import HallucinatonEvaluater
 
 from langchain.embeddings import HuggingFaceEmbeddings #for using HugginFace models
@@ -29,8 +32,17 @@ import pandas as pd
 # from sklearn import datasets
 # from sklearn.ensemble import RandomForestClassifier
 
+#phoenix setup
+session = px.launch_app()
+# If no exporter is specified, the tracer will export to the locally running Phoenix server
+tracer = OpenInferenceTracer()
+# If no tracer is specified, a tracer is constructed for you
+LangChainInstrumentor(tracer).instrument()
+print(session.url)
+
 
-tab1, tab2 = st.tabs(["📈 RAG", "🗃 FactVsHallucinate"])
+
+tab1, tab2, tab3 = st.tabs(["📈 RAG", "🗃 FactVsHallucinate" , "trace"])
 
 
 
@@ -253,7 +265,16 @@ with tab2:
       
   
 
+with tab3:
+  
+  
+  
+  with st.form(" trace"):
+      
+    df = px.active_session().get_spans_dataframe().fillna('')
+    st.dataframe(df)
 
+