Create app.py

app.py

@@ -0,0 +1,34 @@
+from llama_index import SimpleDirectoryReader, GPTSimpleVectorIndex, LLMPredictor, ServiceContext
+from langchain import OpenAI
+import gradio as gr
+import os
+
+os.environ["OPENAI_API_KEY"] = ''
+
+def construct_index(directory_path):
+    num_outputs = 512
+
+    llm_predictor = LLMPredictor(llm=OpenAI(temperature=0.7, model_name="text-davinci-003", max_tokens=num_outputs))
+
+    service_context = ServiceContext.from_defaults(llm_predictor=llm_predictor)
+
+    docs = SimpleDirectoryReader(directory_path).load_data()
+
+    index = GPTSimpleVectorIndex.from_documents(docs, service_context=service_context)
+
+    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.inputs.Textbox(lines=7, label="Enter your text"),
+                     outputs="text",
+                     title="Custom-trained AI Chatbot")
+
+index = construct_index("docs")
+iface.launch(share=True)