Update app.py

app.py

@@ -1,17 +1,38 @@
+from gpt_index import SimpleDirectoryReader, GPTListIndex, GPTSimpleVectorIndex, LLMPredictor, PromptHelper
+from langchain.chat_models import ChatOpenAI
+import gradio as gr
+import sys
 import os
 
-def delete_files_in_folder(folder_path):
-    try:
-        for filename in os.listdir(folder_path):
-            file_path = os.path.join(folder_path, filename)
-            if os.path.isfile(file_path):
-                os.remove(file_path)
-                print(f"Deleted: {filename}")
-        print("All files deleted successfully.")
-    except Exception as e:
-        print(f"An error occurred: {e}")
-
-if __name__ == "__main__":
-    folder_to_clear = "docs"  # Change this to your actual folder path
-    delete_files_in_folder(folder_to_clear)
-    
+os.environ["OPENAI_API_KEY"] = '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'
+
+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=7, label="Enter your text"),
+                     outputs="text",
+                     title="Custom-trained AI Chatbot")
+
+index = construct_index("docs")
+iface.launch()