wisper

backend/Dockerfile

@@ -6,6 +6,7 @@ RUN apt-get update && apt-get install -y \
     libgeos-dev \
     pandoc \
     binutils \
+    ffmpeg \
     curl \
     build-essential && \
     curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y && \

backend/parsers/wisper.py

@@ -4,10 +4,10 @@
 import time
 from langchain.schema import Document
 from langchain.text_splitter import RecursiveCharacterTextSplitter
-from models.files import File
+from models import Brain, File
 from models.settings import get_documents_vector_store
 from utils.file import compute_sha1_from_content
-
+from utils.vectors import Neurons
 
 async def process_wisper(
     file: File,
@@ -74,7 +74,15 @@ async def process_wisper(
             for text in texts
         ]
 
-        documents_vector_store.add_documents(docs_with_metadata)
+        # documents_vector_store.add_documents(docs_with_metadata)
+        for doc in docs_with_metadata:  # pyright: ignore reportPrivateUsage=none
+            neurons = Neurons()
+            created_vector = neurons.create_vector(doc, user_openai_api_key)
+
+            created_vector_id = created_vector[0]  # pyright: ignore reportPrivateUsage=none
+
+            brain = Brain(id=brain_id)
+            brain.create_brain_vector(created_vector_id, file.file_sha1)
 
     finally:
         if temp_filename and os.path.exists(temp_filename):

backend/utils/processors.py

@@ -52,7 +52,7 @@ async def filter_file(
 ):
     await file.compute_file_sha1()
 
-    print("file sha1", file.file_sha1)
+    # print("file sha1", file.file_sha1)
     file_exists = file.file_already_exists()
     file_exists_in_brain = file.file_already_exists_in_brain(brain_id)