Update app.py

app.py

@@ -1,7 +1,6 @@
 import streamlit as st
 from huggingface_hub import InferenceClient
 from gtts import gTTS
-import streamlit.components.v1 as stc
 
 client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
 system_prompt = "Tu nombre es Xaman 3.0"
@@ -45,12 +44,12 @@ def generate(
         do_sample=True,
         seed=42,
     )
-
+   
     formatted_prompt = format_prompt(user_input, history)
     stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=True)
     response = " ".join(response.token.text for response in stream)
 
-    st.write(response, style='white-space: pre-line;')
+    st.textbox(response)  
     audio_file = text_to_speech(response, speed=1.2) 
     st.audio(audio_file, format="audio/mp3", start_time=0, key='audio')
 
@@ -59,6 +58,17 @@ def generate(
 if "history" not in st.session_state:
     st.session_state.history = []
 
-user_input = st.text_input(label="Usuario", value="Escribe aquí tu mensaje")
+st.title("Chatbot Interactivo")
+user_input = st.text_area(label="Usuario", value="Escribe aquí tu mensaje", height=200)
+
+st.subheader("Historial de Conversación")
+for user_prompt, bot_response in st.session_state.history:
+    st.write(f"Usuario: {user_prompt}")
+    st.write(f"Bot: {bot_response}")
+    st.markdown("---")
+
 output = generate(user_input, history=st.session_state.history)
-st.session_state.history.append((user_input, output))
+st.session_state.history.append((user_input, output))
+
+audio_file = text_to_speech(output, speed=1.2)
+st.audio(audio_file, format="audio/mp3", start_time=0, key='audio')