Update app.py

app.py

@@ -1,38 +1,16 @@
-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"] = '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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()
+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)