rerank model

pages/Multimodal_Conversational_Search.py

@@ -42,8 +42,8 @@ AI_ICON = "images/opensearch-twitter-card.png"
 REGENERATE_ICON = "images/regenerate.png"
 s3_bucket_ = "pdf-repo-uploads"
             #"pdf-repo-uploads"
-polly_client = boto3.Session(
-            region_name='us-east-1').client('polly')
+# polly_client = boto3.Session(
+#             region_name='us-east-1').client('polly')
 
 # Check if the user ID is already stored in the session state
 if 'user_id' in st.session_state:
@@ -110,11 +110,6 @@ if "input_rag_searchType" not in st.session_state:
     
 
 
-        
-region = 'us-east-1'
-bedrock_runtime_client = boto3.client('bedrock-runtime',region_name=region)
-output = []
-service = 'es'
 
 st.markdown("""
     <style>
@@ -143,10 +138,7 @@ st.markdown("""
 
 ################# using boto3 credentials ###################
 
-
-credentials = boto3.Session().get_credentials()
-awsauth = AWS4Auth(credentials.access_key, credentials.secret_key, 'us-west-2', service, session_token=credentials.token)
-service = 'es'
+awsauth = HTTPBasicAuth('master',st.secrets['ml_search_demo_api_access'])
 
 
 ################# using boto3 credentials ####################
@@ -323,14 +315,14 @@ def render_answer(question,answer,index,res_img):
         #     st.write(ans_)
         
 
-        polly_response = polly_client.synthesize_speech(VoiceId='Joanna',
-                        OutputFormat='ogg_vorbis', 
-                        Text = ans_,
-                        Engine = 'neural')
+        # polly_response = polly_client.synthesize_speech(VoiceId='Joanna',
+        #                 OutputFormat='ogg_vorbis', 
+        #                 Text = ans_,
+        #                 Engine = 'neural')
 
-        audio_col1, audio_col2 = st.columns([50,50])
-        with audio_col1:
-            st.audio(polly_response['AudioStream'].read(), format="audio/ogg")
+        # audio_col1, audio_col2 = st.columns([50,50])
+        # with audio_col1:
+        #     st.audio(polly_response['AudioStream'].read(), format="audio/ogg")
             
         rdn_key_1 = ''.join([random.choice(string.ascii_letters)
                               for _ in range(10)])
@@ -519,33 +511,6 @@ with st.sidebar:
         st.markdown("<span style = 'color:#FF9900;'>Global Warming stats</span> - What is the projected energy percentage from renewable sources in future?",unsafe_allow_html=True)
         st.markdown("<span style = 'color:#FF9900;'>Covid19 impacts</span> - How many aged above 85 years died due to covid ?",unsafe_allow_html=True)
         
-    # Initialize boto3 to use the S3 client.
-    s3_client = boto3.resource('s3')
-    bucket=s3_client.Bucket(s3_bucket_)
-
-    objects = bucket.objects.filter(Prefix="sample_pdfs/")
-    urls = []
-
-    client = boto3.client('s3')
-
-    for obj in objects:
-        if obj.key.endswith('.pdf'): 
-
-            # Generate the S3 presigned URL
-            s3_presigned_url = client.generate_presigned_url(
-                ClientMethod='get_object',
-                Params={
-                    'Bucket': s3_bucket_,
-                    'Key': obj.key
-                },
-                ExpiresIn=3600
-            )
-
-            # Print the created S3 presigned URL
-            print(s3_presigned_url)
-            urls.append(s3_presigned_url)
-            #st.write("["+obj.key.split('/')[1]+"]("+s3_presigned_url+")")
-            st.link_button(obj.key.split('/')[1], s3_presigned_url)
     
     
     # st.subheader(":blue[Your multi-modal documents]")