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.gitattributes

@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+docs/course.docx filter=lfs diff=lfs merge=lfs -text
+index.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,12 +1,6 @@
 ---
-title: PMO Documents AI Chatbot
-emoji: 🚀
-colorFrom: blue
-colorTo: red
-sdk: gradio
-sdk_version: 3.36.1
+title: PMO_Documents_AI_Chatbot
 app_file: app.py
-pinned: false
+sdk: gradio
+sdk_version: 3.35.2
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -0,0 +1,39 @@
+from gpt_index import SimpleDirectoryReader, GPTListIndex, GPTSimpleVectorIndex, LLMPredictor, PromptHelper
+from langchain.chat_models import ChatOpenAI
+import gradio as gr
+import sys
+import os
+
+os.environ["OPENAI_API_KEY"] = os.getenv("OPENAI_API_KEY")
+
+def construct_index(directory_path):
+    max_input_size = 4096
+    num_outputs = 512
+    max_chunk_overlap = 20
+    chunk_size_limit = 600
+
+    prompt_helper = PromptHelper(max_input_size, num_outputs, max_chunk_overlap, chunk_size_limit=chunk_size_limit)
+
+    llm_predictor = LLMPredictor(llm=ChatOpenAI(temperature=0.7, model_name="gpt-3.5-turbo", max_tokens=num_outputs))
+
+    documents = SimpleDirectoryReader(directory_path).load_data()
+
+    index = GPTSimpleVectorIndex(documents, llm_predictor=llm_predictor, prompt_helper=prompt_helper)
+
+    index.save_to_disk('index.json')
+
+    return index
+
+def chatbot(input_text):
+    index = GPTSimpleVectorIndex.load_from_disk('index.json')
+    response = index.query(input_text, response_mode="compact")
+    return response.response
+
+iface = gr.Interface(fn=chatbot,
+                     inputs=gr.components.Textbox(lines=5, label="Enter your text", show_copy_button=True),
+                     outputs=gr.components.Textbox(lines=5, label="Answer", show_copy_button=True),
+                     examples=["What are the different types of 'work product' lifespan? Provide detailed answer", "Хто може бути наставником?", "Question3", "Question4", "Question5"],
+                     title="PMO Documents AI Chatbot")
+
+index = construct_index("docs")
+iface.launch()

docs/course.docx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:06634e0fc61efed338f2a6613fc5db276aca750fd0d71d841ca464d89356d11b
+size 8404625

index.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ca04670038605b91b0b0dfddcb4c8378d760ca576b022142c163757458b827ad
+size 123040415

requirements.txt

@@ -0,0 +1,5 @@
+gpt_index==0.4.24
+langchain==0.0.118
+PyPDF2==3.0.1
+pycryptodome==3.18.0
+docx2txt==0.8