stable v1

app.py

@@ -47,9 +47,9 @@ class PineconeSearch:
 
     def __call__(self,query):
         docs = self.docsearch.similarity_search(query=query, k=self.topk)
-        context = ""
+        context = "ARTICLES:\n\n"
         for doc in docs:
-            context += f"Content:\n{doc.page_content}\n"
+            context += f"Content:\n{doc.page_content}\n\n"
             context += f"Source: {doc.metadata['url']}\n"
             context += "----"
         return context
@@ -83,8 +83,8 @@ def print_token_and_price(response):
     print(f"Total price: {price*370:.2f} Ft")
     print("===================================")
 
-agent_prompt = """You are an expert research assistant. You can access information about articles via your tool. 
-Use information ONLY from this tool. Do not invent or add any more knowladge, be strict for the articles."""
+agent_prompt = """You are an expert research assistant. You will recieve informations about articles. Use only these informations, be factual and do not invent!
+Make your brief answer in short. Point out the facts appear in the articles and quote the sources in [bracket]."""
 
 
 def stream(input_text, history, user_prompt, topic, topk) -> Generator:
@@ -98,7 +98,6 @@ def stream(input_text, history, user_prompt, topic, topk) -> Generator:
 
         response = call_openai(
             messages=[{"role": "system", "content": agent_prompt},
-             {"role": "system", "content": user_prompt},
              {"role": "user", "content": input_text},
              {"role": "system", "content": tool_resp}
              ],
@@ -144,7 +143,7 @@ def ask_llm(message, history, prompt, topic, topk):
 agent_prompt_textbox = gr.Textbox(
     label = "Set the behaviour of the agent",
     lines = 2,
-    value = "Make your brief answer in bullet points."
+    value = "NOT WORKING"
 )
 namespace_drobdown = gr.Dropdown(
     ["1_D3_receptor", "2_dopamine", "3_mitochondrial"],