second

app.py

@@ -70,15 +70,24 @@ def main():
 
         if uploaded_file is not None:
             file_path = uploaded_file.name
+
             print(file_path)
+
+            file_contents = uploaded_file.read()
+            save_path = uploaded_file.name
+            with open(save_path, "wb") as f:
+                f.write(file_contents)
+            print(save_path)
+
+
             #ingest(file_path,embeddings,vectordb,persist_directory)
 
-            loader = TextLoader(file_path,autodetect_encoding=True)
+            loader = TextLoader(save_path,autodetect_encoding=True)
             documents = loader.load()
             text_splitter = CharacterTextSplitter(chunk_size=1000) #Splitting the text and creating chunks
             docs = text_splitter.split_documents(documents)
 
-            persist_directory = file_path[:-4]
+            persist_directory = save_path[:-4]
             vectordb = Chroma.from_documents(documents=docs,
                                         embedding=embeddings,
                                         persist_directory=persist_directory)