Create CustomTrioGPT.py

CustomTrioGPT.py

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+from llama_index import SimpleDirectoryReader, GPTListIndex, GPTVectorStoreIndex, LLMPredictor, PromptHelper
+from llama_index import StorageContext, load_index_from_storage
+from langchain.chat_models import ChatOpenAI
+import gradio as gr
+import os
+import openai
+from gradio.themes.utils import colors, fonts, sizes
+
+openai.api_key = os.environ.get('openai_key')
+
+messages = [
+    {"role": "system", "content": "follow the 4 instructions below for your outputs:"},
+    {"role": "system", "content": "1. make sure all expressions are compatible with Polish"},
+    {"role": "system", "content": "2. use Polish only for outputs"},
+    {"role": "system", "content": "3. if you cannot answer, reply that you do not have enough information"},
+    {"role": "system", "content": "4. do not make up any answer if you do know the answer"},
+]
+
+def construct_index(directory_path):
+    max_input_size = 4096
+    num_outputs = 512
+    max_chunk_overlap = 20
+    chunk_size_limit = 600
+    temperature = 0.1
+
+    prompt_helper = PromptHelper(max_input_size, num_outputs, max_chunk_overlap, chunk_size_limit=chunk_size_limit)
+    llm_predictor = LLMPredictor(llm=ChatOpenAI(temperature=temperature, model_name="gpt-3.5-turbo", max_tokens=num_outputs))
+    documents = SimpleDirectoryReader(directory_path).load_data()
+    #index = GPTVectorStoreIndex(documents, llm_predictor=llm_predictor, prompt_helper=prompt_helper)
+    index = GPTVectorStoreIndex.from_documents(documents, urls=[
+                                                                'https://trio.house/',
+                                                                'https://trio.house/kontakt/',
+                                                                'https://trio.house/o-nas/',
+                                                                'https://trio.house/zainwestuj-z-nami/',
+                                                                'https://trio.house/potrzebujesz-konsultacji-rynku-nieruchomosci/',
+                                                                'https://trio.house/potrzebujesz-remontu/',
+                                                                'https://trio.house/potrzebujesz-projektu-wnetrza/',
+                                                                'https://trio.house/potrzebujesz-mebli-na-wymiar/',
+                                                                'https://trio.house/potrzebujesz-kredytu-na-zakup-nieruchomosci/',
+                                                                'https://trio.house/makroekonomia/',
+                                                                'https://trio.house/rynek-nieruchomosci/',
+                                                                'https://trio.house/2023/05/24/deweloperzy-buduja-coraz-mniej/',
+                                                                'https://trio.house/2023/04/27/prognozy-na-2023-2025-co-nas-czeka/',
+                                                                'https://trio.house/2023/04/18/wycinka-drzew-na-wlasnej-dzialce-w-2023/',
+                                                                'https://trio.house/2023/04/03/lipiec-rozpoczynamy-juz-w-kwietniu/',
+                                                                'https://trio.house/2023/04/03/zmiany-w-podatku-od-czynnosci-cywilnoprawnych/',
+                                                                'https://trio.house/2023/03/23/czy-aby-napewno-najdrozsze-mieszkania-sa-w-stolicy/',
+        ], llm_predictor=llm_predictor, prompt_helper=prompt_helper)
+    index.storage_context.persist('index.json')
+
+    return index
+
+def chatbotCustom(input):
+    storage_context = StorageContext.from_defaults(persist_dir="index.json")
+    index = load_index_from_storage(storage_context)
+    query_engine = index.as_query_engine()
+    response = query_engine.query(input)
+#    response = index.query(input, similarity_top_k=5, response_mode="tree_summarize")
+    return response.response
+
+def chatbotGPT(input):
+    if input:
+        messages.append({"role": "user", "content": input})
+        chat = openai.ChatCompletion.create(
+            model="gpt-3.5-turbo", messages=messages
+        )
+        reply = chat.choices[0].message.content
+        messages.append({"role": "assistant", "content": reply})
+        return reply
+
+def clear():
+    return None, None
+
+theme = gr.themes.Default(font=[gr.themes.GoogleFont("Roboto"), "sans-serif", "sans-serif"], primary_hue="neutral", secondary_hue="neutral", neutral_hue="neutral").set(
+    button_primary_background_fill="#3FCCA5",
+    button_primary_background_fill_dark="#3FCCA5",
+    button_primary_text_color="#003F62",
+    body_background_fill="FFFFFF",
+    body_background_fill_dark="FFFFFF"
+)
+
+with gr.Blocks(theme=theme) as trioGPT:
+	inputs = gr.Textbox(lines=4, elem_id="inputs", label="Porozmawiaj z naszym chatbotem Real-Estate AI")#, elem_classes="textbox")
+	outputs = gr.Textbox(label="Odpowiedź", elem_id="outputs")#, elem_classes="textbox")
+	with gr.Row():
+		submit_btn = gr.Button("Wyślij", variant="primary")
+		clear_btn = gr.Button("Wyczyść")
+
+	submit_btn.click(chatbotCustom, inputs=inputs, outputs=outputs)
+	clear_btn.click(fn=clear, inputs=None, outputs=[inputs, outputs])
+
+index = construct_index("data")
+trioGPT.launch()#(share=True)