FaqGen param fix (#1277)

Signed-off-by: Xinyao Wang <[email protected]>
opea-project · Dec 20, 2024 · 05365b6 · 05365b6
1 parent fd706d1
commit 05365b6
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diff --git a/FaqGen/docker_compose/intel/cpu/xeon/README.md b/FaqGen/docker_compose/intel/cpu/xeon/README.md
@@ -119,7 +119,7 @@ docker compose up -d
       -H "Content-Type: multipart/form-data" \
       -F "messages=Text Embeddings Inference (TEI) is a toolkit for deploying and serving open source text embeddings and sequence classification models. TEI enables high-performance extraction for the most popular models, including FlagEmbedding, Ember, GTE and E5." \
       -F "max_tokens=32" \
-      -F "stream=false"
+      -F "stream=False"
    ```
 
    Following the validation of all aforementioned microservices, we are now prepared to construct a mega-service.

diff --git a/FaqGen/docker_compose/intel/hpu/gaudi/README.md b/FaqGen/docker_compose/intel/hpu/gaudi/README.md
@@ -120,7 +120,7 @@ docker compose up -d
       -H "Content-Type: multipart/form-data" \
       -F "messages=Text Embeddings Inference (TEI) is a toolkit for deploying and serving open source text embeddings and sequence classification models. TEI enables high-performance extraction for the most popular models, including FlagEmbedding, Ember, GTE and E5." \
       -F "max_tokens=32" \
-      -F "stream=false"
+      -F "stream=False"
    ```
 
 ## 🚀 Launch the UI

diff --git a/FaqGen/tests/test_compose_on_gaudi.sh b/FaqGen/tests/test_compose_on_gaudi.sh
@@ -107,11 +107,11 @@ function validate_megaservice() {
     local EXPECTED_RESULT="Embeddings"
     local INPUT_DATA="messages=Text Embeddings Inference (TEI) is a toolkit for deploying and serving open source text embeddings and sequence classification models. TEI enables high-performance extraction for the most popular models, including FlagEmbedding, Ember, GTE and E5."
     local URL="${ip_address}:8888/v1/faqgen"
-    local HTTP_STATUS=$(curl -s -o /dev/null -w "%{http_code}" -X POST -F "$INPUT_DATA" -H 'Content-Type: multipart/form-data' "$URL")
+    local HTTP_STATUS=$(curl -s -o /dev/null -w "%{http_code}" -X POST -F "$INPUT_DATA" -F "max_tokens=32" -F "stream=False" -H 'Content-Type: multipart/form-data' "$URL")
     if [ "$HTTP_STATUS" -eq 200 ]; then
         echo "[ $SERVICE_NAME ] HTTP status is 200. Checking content..."
 
-        local CONTENT=$(curl -s -X POST -F "$INPUT_DATA" -H 'Content-Type: multipart/form-data' "$URL" | tee ${LOG_PATH}/${SERVICE_NAME}.log)
+        local CONTENT=$(curl -s -X POST -F "$INPUT_DATA"  -F "max_tokens=32" -F "stream=False" -H 'Content-Type: multipart/form-data' "$URL" | tee ${LOG_PATH}/${SERVICE_NAME}.log)
 
         if echo "$CONTENT" | grep -q "$EXPECTED_RESULT"; then
             echo "[ $SERVICE_NAME ] Content is as expected."

diff --git a/FaqGen/tests/test_compose_on_xeon.sh b/FaqGen/tests/test_compose_on_xeon.sh
@@ -107,11 +107,11 @@ function validate_megaservice() {
     local EXPECTED_RESULT="Embeddings"
     local INPUT_DATA="messages=Text Embeddings Inference (TEI) is a toolkit for deploying and serving open source text embeddings and sequence classification models. TEI enables high-performance extraction for the most popular models, including FlagEmbedding, Ember, GTE and E5."
     local URL="${ip_address}:8888/v1/faqgen"
-    local HTTP_STATUS=$(curl -s -o /dev/null -w "%{http_code}" -X POST -F "$INPUT_DATA" -H 'Content-Type: multipart/form-data' "$URL")
+    local HTTP_STATUS=$(curl -s -o /dev/null -w "%{http_code}" -X POST -F "$INPUT_DATA"  -F "max_tokens=32" -F "stream=False" -H 'Content-Type: multipart/form-data' "$URL")
     if [ "$HTTP_STATUS" -eq 200 ]; then
         echo "[ $SERVICE_NAME ] HTTP status is 200. Checking content..."
 
-        local CONTENT=$(curl -s -X POST -F "$INPUT_DATA" -H 'Content-Type: multipart/form-data' "$URL" | tee ${LOG_PATH}/${SERVICE_NAME}.log)
+        local CONTENT=$(curl -s -X POST -F "$INPUT_DATA"  -F "max_tokens=32" -F "stream=False" -H 'Content-Type: multipart/form-data' "$URL" | tee ${LOG_PATH}/${SERVICE_NAME}.log)
 
         if echo "$CONTENT" | grep -q "$EXPECTED_RESULT"; then
             echo "[ $SERVICE_NAME ] Content is as expected."