Update src/streamlit_app.py

src/streamlit_app.py

@@ -5,7 +5,6 @@ os.environ["STREAMLIT_HOME"] = "/tmp/.streamlit"
 import streamlit as st
 from chat_langraph import system, workflow, HumanMessage, AIMessage, get_all_chat_ids, ToolMessage
 import uuid
-import speech_recognition as sr 
 import base64
 # import pyttsx3 
 
@@ -17,8 +16,6 @@ os.makedirs(TEMP_DIR, exist_ok=True)
 
 
 # --- Helpers ---
-if ("recognizer" not in st.session_state):
-    st.session_state.recognizer = sr.Recognizer()
 # if ("speaker" not in st.session_state):
 #     st.session_state.speaker = pyttsx3.init()
 # st.session_state.tospeak = False
@@ -49,9 +46,6 @@ def load_session_state():
 
 def render_sidebar():
     with st.sidebar:
-        audio_file = st.audio_input("🎙️ Speak here :" , key="mic")
-        if audio_file:
-            st.session_state.mic = audio_file
         st.title("Chats")
         if st.button("➕ New Chat"):
             new_id = str(uuid.uuid4())
@@ -118,19 +112,6 @@ render_sidebar()
 if "current_chat_id" in st.session_state:
     loadchats()
     user_input = st.chat_input("Your message:")
-    if "mic" in st.session_state and st.session_state.mic is not None:
-        audio = st.session_state.mic 
-        st.session_state.mic = None
-        # st.session_state.tospeak = True
-        with sr.AudioFile(audio) as source:
-            try:
-                st.toast("Recognizing...")
-                r = st.session_state.recognizer
-                audio = r.record(source)
-                text = r.recognize_google(audio)
-                user_input = text
-            except Exception as E:
-                st.toast("Some Error Occoured Try again ...")    
     if user_input :
         with st.chat_message("human"):
             st.write(user_input)
@@ -138,8 +119,6 @@ if "current_chat_id" in st.session_state:
         with st.chat_message("assistant"):
             response_placeholder = st.empty()
             full_response = ""
-            tool_name = "" 
-            tool_download_msg = ""
             for message, metadata in workflow.stream(
                 {"messages": [system, HumanMessage(user_input)]},
                 config={"configurable": {"thread_id": st.session_state.current_chat_id}},
@@ -148,8 +127,6 @@ if "current_chat_id" in st.session_state:
                 tool_link = ""
                 if isinstance(message, AIMessage):
                     full_response += message.content or ""
-                    if(message.tool_calls):
-                        tool_name = message.tool_calls[0]['name'] 
                 elif isinstance(message, ToolMessage):
                     st.info("Using Appropriate tool")
                 response_placeholder.markdown(full_response + " ")