Update app.py

app.py

@@ -8,9 +8,9 @@ with gr.Blocks() as demo:
     msg = gr.Textbox()
     clear = gr.ClearButton([msg, chatbot])
 
-    model = AutoModelForSequenceClassification.from_pretrained("/path/to/serialized/model/")
+    model = AutoModelForSequenceClassification.from_pretrained("ancebuc/scrum-chatbot/modelo")
 
-    tokenizer = AutoTokenizer.from_pretrained("/path/to/serialized/tokenizer/")
+    tokenizer = AutoTokenizer.from_pretrained("ancebuc/scrum-chatbot/tokenizer")
     
     query_pipeline = transformers.pipeline(
         "text-generation",
@@ -19,7 +19,7 @@ with gr.Blocks() as demo:
         torch_dtype=torch.float16,
         device_map="auto", max_new_tokens=200)
 
-    vectordb = Chroma.from_documents(documents=all_splits, embedding=embeddings, persist_directory="chroma_db")
+    vectordb = Chroma.load(persist_directory="ancebuc/scrum-chatbot/chroma")
 
     def test_rag(pipeline, query):
       docs = vectordb.similarity_search_with_score(query)