Update version

app.py

@@ -123,7 +123,7 @@ def index_repo(textbox: str, dropdown: str) -> Response:
 
     print("Repo name after setting the value: " + str(repoName))
     activeloop_username = "aiswaryas"
-    dataset_path = f"hub://{activeloop_username}/" + pathName + "3"
+    dataset_path = f"hub://{activeloop_username}/" + pathName + "1000"
     print(dataset_path)
 
     try:
@@ -154,7 +154,7 @@ def index_repo(textbox: str, dropdown: str) -> Response:
                             pass
 
                 activeloop_username = "aiswaryas"
-                dataset_path = f"hub://{activeloop_username}/" + pathName + "3"
+                dataset_path = f"hub://{activeloop_username}/" + pathName + "1000"
                 text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)
                 texts = text_splitter.split_documents(docs)
 
@@ -219,7 +219,7 @@ def answer_questions(question: str, github: str, **kwargs) -> Response:
     try:
         embeddings = OpenAIEmbeddings(openai_api_key="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")
         pathName = github.split('/')[-1]
-        dataset_path = "hub://aiswaryas/" + pathName + "3"
+        dataset_path = "hub://aiswaryas/" + pathName + "1000"
 
         db = DeepLake(dataset_path=dataset_path, read_only=True, embedding_function=embeddings)
 
@@ -305,7 +305,7 @@ def generateFolderNamesForRepo(repo):
         input data and generate the responses that are displayed in the UI.
     """
     pathName = git_clone(repo)
-    root_dir = './' + pathName + "3"
+    root_dir = './' + pathName + "1000"
 
     files, dirs, docs = [], [], []
     for dirpath, dirnames, filenames in os.walk(root_dir):
@@ -344,7 +344,7 @@ def generateDocumentationPerFolder(dir, github):
         embeddings = OpenAIEmbeddings(openai_api_key="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")
         pathName = github.split('/')[-1]
         print("PATH NAME: " + str(pathName))
-        dataset_path = "hub://aiswaryas/" + pathName + "3"
+        dataset_path = "hub://aiswaryas/" + pathName + "1000"
 
         db = DeepLake(dataset_path=dataset_path, read_only=True, embedding_function=embeddings)
 
@@ -406,7 +406,7 @@ def solveGithubIssue(ticket, history) -> Response:
     try:
         embeddings = OpenAIEmbeddings(openai_api_key="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")
         pathName = github.split('/')[-1]
-        dataset_path = "hub://aiswaryas/" + pathName + "3"
+        dataset_path = "hub://aiswaryas/" + pathName + "1000"
 
         db = DeepLake(dataset_path=dataset_path, read_only=True, embedding=embeddings)
 
@@ -456,7 +456,7 @@ def bot(history, **kwargs):
     try:
         embeddings = OpenAIEmbeddings(openai_api_key="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")
         pathName = github.split('/')[-1]
-        dataset_path = "hub://aiswaryas/" + pathName + "3"
+        dataset_path = "hub://aiswaryas/" + pathName + "1000"
 
         db = DeepLake(dataset_path=dataset_path, read_only=True, embedding_function=embeddings)