Update app.py

app.py

@@ -61,6 +61,21 @@ def submit_message(prompt, prompt_template, temperature, max_tokens, context_len
     try:
         completion = openai.ChatCompletion.create(model="gpt-3.5-turbo", messages=system_prompt + history[-context_length*2:] + [prompt_msg], temperature=temperature, max_tokens=max_tokens)
 
+# completion = openai.ChatCompletion.create(model="gpt-3.5-turbo", messages=system_prompt + history[-context_length*2:] + [prompt_msg], temperature=temperature, max_tokens=max_tokens)
+
+# vectordb = "/embeddings/"
+
+        path = "/embeddings"
+        dirs = os.listdir( path )
+
+        for file in dirs:
+            file
+        
+# completion = ChatVectorDBChain.from_llm(OpenAI(temperature=0, model_name="gpt-3.5-turbo"), vectordb, return_source_documents=True)
+# query = "Have Romeo and Juliet spent the night together? Provide a verbose answer, referencing passages from the book."
+# result = completion({"question": query, "chat_history": chat_history})
+# from https://blog.devgenius.io/chat-with-document-s-using-openai-chatgpt-api-and-text-embedding-6a0ce3dc8bc8
+        
         history.append(prompt_msg)
         history.append(completion.choices[0].message.to_dict())
 
@@ -102,7 +117,7 @@ with gr.Blocks(css=css) as demo:
                     ## Ask questions of experts on needs assessments, get responses from *needs assessment* version of ChatGPT.
                     Ask questions of all of them, or pick your guru.""",
                     elem_id="header")
-
+        gr.Markdown(file)
         with gr.Row():
             with gr.Column():
                 chatbot = gr.Chatbot(elem_id="chatbox")