Create: mvp

poetry.lock

@@ -1978,6 +1978,21 @@ files = [
 [package.dependencies]
 six = ">=1.5"
 
+[[package]]
+name = "python-dotenv"
+version = "1.0.0"
+description = "Read key-value pairs from a .env file and set them as environment variables"
+category = "main"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "python-dotenv-1.0.0.tar.gz", hash = "sha256:a8df96034aae6d2d50a4ebe8216326c61c3eb64836776504fcca410e5937a3ba"},
+    {file = "python_dotenv-1.0.0-py3-none-any.whl", hash = "sha256:f5971a9226b701070a4bf2c38c89e5a3f0d64de8debda981d1db98583009122a"},
+]
+
+[package.extras]
+cli = ["click (>=5.0)"]
+
 [[package]]
 name = "python-multipart"
 version = "0.0.6"
@@ -2636,4 +2651,4 @@ multidict = ">=4.0"
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.11"
-content-hash = "190c777d4ffddd08f97be99418024b9eef296fe835bce89f16db821354f749c0"
+content-hash = "45093343787af14605e9eaa3b71391b90bc039795a061b5d9e99e19f53620af7"

pyproject.toml

@@ -13,11 +13,17 @@ gpt-index = "0.4.24"
 pypdf2 = "^3.0.1"
 pycryptodome = "^3.17"
 gradio = "^3.27.0"
+python-dotenv = "^1.0.0"
 
 
 [tool.poetry.group.dev.dependencies]
 flake8 = "^6.0.0"
 
+
+[tool.poetry.scripts]
+chadgpt = "chadgpt.main:main"
+
+
 [build-system]
 requires = ["poetry-core"]
 build-backend = "poetry.core.masonry.api"

src/chadgpt/main.py

@@ -1,12 +1,10 @@
 #!/usr/bin/env python3
 import os
-import sys
-import gradio
-from dotenv import load_dotenv, find_dotenv
+import gradio as gr
+from dotenv import load_dotenv
 from langchain.chat_models import ChatOpenAI
 from gpt_index import (
     SimpleDirectoryReader,
-    GPTListIndex,
     GPTSimpleVectorIndex,
     LLMPredictor,
     PromptHelper
@@ -15,8 +13,8 @@ from gpt_index import (
 
 def get_env():
     if not os.environ.get("OPENAI_API_KEY"):
-        load_dotenv(find_dotenv())
-        
+        load_dotenv()
+
 
 # parse hidden api key:
 def construct_index(directory_path):
@@ -33,7 +31,7 @@ def construct_index(directory_path):
         chunk_size_limit=chunk_size_limit
     )
 
-    llm=ChatOpenAI(
+    llm = ChatOpenAI(
         temperature=0.7,
         model_name="gpt-3.5-turbo",
         max_tokens=num_outputs
@@ -50,28 +48,30 @@ def construct_index(directory_path):
         prompt_helper=prompt_helper
     )
 
-    index.save_to_disk('index.json')
+    index_file = os.environ.get('DB_PATH') + "/index.json"
+    index.save_to_disk(index_file)
 
     return index
 
+
 def chatbot(input_text):
-    index = GPTSimpleVectorIndex.load_from_disk('index.json')
+    index_file = os.environ.get("DB_PATH") + "/index.json"
+    index = GPTSimpleVectorIndex.load_from_disk(index_file)
     response = index.query(input_text, response_mode="compact")
     return response.response
 
 
-iface = gradio.Interface(
+iface = gr.Interface(
     fn=chatbot,
-    inputs=gradio.components.Textbox(lines=7, label="Enter your text"),
+    inputs=gr.components.Textbox(lines=7, label="Enter your text"),
     outputs="text",
     title="ISPsystem custom-trained AI Chatbot"
 )
 
-index = construct_index("../docs")
-
 
 def main():
     get_env()
+    construct_index(os.environ.get("DB_PATH"))
     iface.launch(share=False)