Update app.py

app.py

@@ -13,12 +13,11 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+import argparse
+import os
 from json import JSONDecodeError
 import streamlit as st
 from markdown import markdown
-from utils import pipelines_files, pipelines_is_ready
-import argparse
-import os
 from pipelines.document_stores import FAISSDocumentStore, MilvusDocumentStore
 from pipelines.nodes import DensePassageRetriever, ErnieRanker
 from pipelines.utils import (
@@ -266,15 +265,8 @@ def main():
 
     st.session_state.random_question_requested = False
 
-    run_query = (
-                        run_pressed or question != st.session_state.question) and not st.session_state.random_question_requested
-
-    # Check the connection
-    with st.spinner("⌛️    pipelines is starting..."):
-        if not pipelines_is_ready():
-            st.error("🚫    Connection Error. Is pipelines running?")
-            run_query = False
-            reset_results()
+    run_query = ( run_pressed or question != st.session_state.question) and not st.session_state.random_question_requested
+    
     # Get results for query
     if (run_query or st.session_state.results is None) and question:
         reset_results()
@@ -298,15 +290,6 @@ def main():
                 markdown(context),
                 unsafe_allow_html=True,
             )
-            # Sqlalchemy Support storing list type data by adding value semicolon, so split str data into separate files
-            if type(result["images"]) == str:
-                result["images"] = result["images"].split(";")
-            for image_path in result["images"]:
-                image_url = pipelines_files(image_path)
-                st.image(
-                    image_url,
-                    width=400,  # Manually Adjust the width of the image as per requirement
-                )
             st.write("**Relevance:** ", result["relevance"])
 
             st.write("___")