Update app.py

app.py

@@ -135,7 +135,7 @@ os.environ["HUGGINGFACEHUB_API_TOKEN"] = HUGGINGFACEHUB_API_TOKEN
 ##############################################
 #wenn löschen Button geklickt
 def clear_all():
-    return None, gr.Image(visible=False)
+    return None, gr.Image(visible=False), []
 
 ##############################################
 #History - die Frage oder das File eintragen...
@@ -561,9 +561,9 @@ def generate_text (prompt, chatbot, history, rag_option, model_option, openai_ap
             llm = ChatOpenAI(model_name = MODEL_NAME,  openai_api_key = openai_api_key, temperature=temperature)#, top_p = top_p) 
             #Prompt an history anhängen und einen Text daraus machen
             if (rag_option == "An"):
-                history_text_und_prompt = generate_prompt_with_history(prompt, history)
+                history_text_und_prompt = generate_prompt_with_history(prompt, chatbot)
             else:
-                history_text_und_prompt = generate_prompt_with_history_openai(prompt, history)
+                history_text_und_prompt = generate_prompt_with_history_openai(prompt, chatbot)
         else:
             #oder an Hugging Face --------------------------
             print("HF Anfrage.......................")
@@ -573,7 +573,7 @@ def generate_text (prompt, chatbot, history, rag_option, model_option, openai_ap
             #llm = HuggingFaceTextGenInference( inference_server_url="http://localhost:8010/", max_new_tokens=max_new_tokens,top_k=10,top_p=top_p,typical_p=0.95,temperature=temperature,repetition_penalty=repetition_penalty,)
             print("HF")
             #Prompt an history anhängen und einen Text daraus machen
-            history_text_und_prompt = generate_prompt_with_history(prompt, history)
+            history_text_und_prompt = generate_prompt_with_history(prompt, chatbot)
     
         #zusätzliche Dokumenten Splits aus DB zum Prompt hinzufügen (aus VektorDB - Chroma oder Mongo DB)
         if (rag_option == "An"):
@@ -781,7 +781,7 @@ with gr.Blocks(css=customCSS, theme=small_and_beautiful_theme) as demo:
     predict_event1 = user_input.submit(**transfer_input_args, queue=False,).then(**predict_args)
     predict_event2 = submitBtn.click(**transfer_input_args, queue=False,).then(**predict_args)
     predict_event3 = upload.upload(file_anzeigen, [upload], [image_display, image_display, attached_file] ) #.then(**predict_args)
-    emptyBtn.click(clear_all, [], [attached_file, image_display])
+    emptyBtn.click(clear_all, [], [attached_file, image_display, history])
     image_display.select(file_loeschen, [], [attached_file, image_display])
     
     #Berechnung oder Ausgabe anhalten (kann danach fortgesetzt werden)