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.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
 index.json filter=lfs diff=lfs merge=lfs -text
+dww_vectors/default__vector_store.json filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,49 @@
+from llama_index import GPTVectorStoreIndex, SimpleDirectoryReader, ServiceContext, set_global_service_context, load_index_from_storage, StorageContext, PromptHelper
+from llama_index.llms import OpenAI
+import gradio as gr
+import sys
+import os
+
+try:
+    from Config import openai_key
+    os.environ["OPENAI_API_KEY"] = openai_key
+except:
+    pass
+
+"""
+Code adopted from Beebom article: "How to Train an AI Chatbot With Custom Knowledge Base Using ChatGPT API" by Arjun Sha
+https://beebom.com/how-train-ai-chatbot-custom-knowledge-base-chatgpt-api/
+"""
+
+max_input_size = 4096
+num_outputs = 512
+chunk_size_limit = 600
+
+prompt_helper = PromptHelper(context_window=max_input_size, num_output=num_outputs, chunk_overlap_ratio=0.1, chunk_size_limit=chunk_size_limit)
+
+llm = OpenAI(model="gpt-3.5-turbo", temperature=0.5, max_tokens=num_outputs)
+
+service_context = ServiceContext.from_defaults(llm=llm, prompt_helper=prompt_helper)
+set_global_service_context(service_context)
+
+def retrieve_index(index_path):
+    storage_context = StorageContext.from_defaults(persist_dir=index_path)
+    index = load_index_from_storage(storage_context)
+    return index
+
+def chatbot(input_text):
+    response = QE.query(input_text)
+    response_stream = ""
+    for r in response.response_gen:
+        response_stream += r
+        yield response_stream
+
+if __name__ == "__main__":
+    iface = gr.Interface(fn=chatbot,
+                         inputs=gr.components.Textbox(lines=7, label="Enter your text"),
+                         outputs="text",
+                         title="AI Chatbot for the Doing What Works Library")
+
+    index = retrieve_index("dww_vectors")
+    QE = index.as_query_engine(streaming=True)
+    iface.launch(share=False)

dww_vectors/default__vector_store.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:33bd65310aaf88dee7d453b93385d190da253b5c3ab0a56a1283b4be639acaf3
+size 11851647

dww_vectors/graph_store.json

@@ -0,0 +1 @@
+{"graph_dict": {}}

dww_vectors/image__vector_store.json

@@ -0,0 +1 @@
+{"embedding_dict": {}, "text_id_to_ref_doc_id": {}, "metadata_dict": {}}

dww_vectors/index_store.json

@@ -0,0 +1 @@
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requirements.txt

@@ -0,0 +1,3 @@
+gradio==4.14.0
+llama-index==0.9.32
+openai==1.8.0