Update app.py

app.py

@@ -12,21 +12,19 @@ import time
 from fuzzywuzzy import fuzz
 import pinecone
 from getpass import getpass
+from huggingface_hub import HfFileSystem
 
 os.environ["OPENAI_API_KEY"] = "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"
-YOUR_API_KEY = "7fd42be9-4380-44f0-8f9e-c6f6a9c2f088"
-YOUR_ENV = "northamerica-northeast1-gcp"
+YOUR_API_KEY = "93ee455f-e30d-4dad-b44f-567687717fb1"
+YOUR_ENV = "us-west4-gcp-free"
 
-index_name = 'knowledgebase'
+index_name = 'kfo-abrechnung'
 pinecone.init(
 	api_key=YOUR_API_KEY,
 	environment=YOUR_ENV
 )
 
 
-faiss_index_folder_path = "/Users/axelwindbrake/Desktop/AI Automation folders/Chatbot Ver 3/Memory/faiss_index"
-
-
 model_name = 'text-embedding-ada-002'
 
 embed = OpenAIEmbeddings(
@@ -45,7 +43,7 @@ llm = ChatOpenAI(
 	openai_api_key=os.environ["OPENAI_API_KEY"],
 	model_name='gpt-4',
 	temperature=0.5 ,
-	max_tokens=450
+	max_tokens=850
 )
 
 qa = RetrievalQA.from_chain_type(
@@ -81,48 +79,27 @@ with gr.Blocks() as demo:
 	clear = gr.Button("Clear")
 	
 	def respond(message, chat_history):
-		# If the message starts with "??", skip the CSV lookup
-		if not message.startswith("??"):
-			# Check if the question already has an answer in the CSV file
-			with open("q&a.csv", "r", newline='') as f:
-				reader = csv.reader(f)
-				for row in reader:
-					if fuzz.token_set_ratio(row[0], message) > 80:  # Adjust the threshold as needed
-						bot_message = row[1]
-						break
-				else:
-					# If the question doesn't have an answer in the CSV file, proceed with the existing process
-					bot_response = answer_question(message)
-					if isinstance(bot_response, dict) and "answer" in bot_response:
-						bot_message = bot_response["answer"]
-					else:
-						bot_message = "Sorry, I couldn't generate a response."
+		#message = message[2:]
+		bot_response = answer_question(message)
+		if isinstance(bot_response, dict) and "answer" in bot_response:
+			bot_message = bot_response["answer"]
 		else:
-			# If the message starts with "??", remove the "??" and proceed with the existing process
-			message = message[2:]
-			bot_response = answer_question(message)
-			if isinstance(bot_response, dict) and "answer" in bot_response:
-				bot_message = bot_response["answer"]
-			else:
-				bot_message = "Sorry, I couldn't generate a response."
+			bot_message = "Sorry, I couldn't generate a response."
 				
 		# Save to CSV file
-		with open("q&a.csv", "a", newline='') as f:
-			writer = csv.writer(f)
-			writer.writerow([message, bot_message])
+		#with open(csv_file, "a", newline='') as f:
+		#	writer = csv.writer(f)
+		#	writer.writerow([message, bot_message])
 			
 		chat_history.append((message, bot_message))
 		time.sleep(1)
 		return "", chat_history
 	
-	
-	
-	
 	msg.submit(respond, [msg, chatbot], [msg, chatbot])
 	clear.click(lambda: None, None, chatbot, queue=False)
 
 with gr.Blocks() as demo:
-	instructions = gr.Markdown("## Willkommen zur Vertriebs Knowledgebase\n\n\nBitte stelle deine Frage in der Textbox unten. \n\n\nAntworten werden zunächst in den gespeicherten Chatverläufen gesucht - wenn du das nicht möchtest, beginne deine Frage mit '??'.")
+	instructions = gr.Markdown("## Willkommen zum KFO Abrechnungs-Bot\n\n\nBitte stelle deine Frage in der Textbox unten.")
 	chatbot = gr.Chatbot()
 	msg = gr.Textbox()
 	clear = gr.Button("Clear")
@@ -132,5 +109,5 @@ with gr.Blocks() as demo:
 	
 	
 if __name__ == "__main__":
-	demo.launch(share=True, inbrowser=True)
+	demo.launch(share=False, inbrowser=True)