Update app.py

app.py

@@ -43,9 +43,9 @@ def get_text_chunks(text):
 
 def get_vectorstore(text_chunks):
     # Load the desired embeddings model.
-    embeddings = HuggingFaceEmbeddings(model_name='sentence-transformers/all-MiniLM-L12-v2',
+    embeddings = HuggingFaceEmbeddings(model_name='sentence-transformers/all-MiniLM-L6-v2',
                                        model_kwargs={'device': 'cpu'})
-    # embeddings = OpenAIEmbeddings()
+    # embeddings = OpenAIEmbeddings()sentence-transformers/all-MiniLM-L6-v2
     # embeddings = HuggingFaceInstructEmbeddings(model_name="hkunlp/instructor-xl")
     # vectorstore = FAISS.from_texts(texts=text_chunks, embedding=embeddings)
     vectorstore = Chroma.from_texts(texts=text_chunks, embedding=embeddings)
@@ -102,8 +102,8 @@ def get_csv_file(docs):
 def get_json_file(docs):
     import json
     text = ''
-    with open(docs, 'r') as f:
-        json_data = json.load(f)
+    # with open(docs, 'r') as f:
+    json_data = json.load(docs)
 
     for f_key, f_value in json_data.items():
         for s_value in f_value:
@@ -140,7 +140,7 @@ def main():
         docs = st.file_uploader(
             "Upload your PDFs here and click on 'Process'", accept_multiple_files=True)
         if st.button("Process"):
-            with st.spinner("Processing"):
+            with st.spinner("Processing"):f
                 # get pdf text
                 raw_text = ""