Update streamlit_app.py

streamlit_app.py

@@ -13,6 +13,9 @@
 
 # @st.cache_resource
 # def load_tool_and_agent():
+#     with st.spinner("Loading AI models and tools... This might take a moment."):
+#         if not os.environ.get("HF_TOKEN"):
+#             st.warning("HF_TOKEN environment variable not found. Some Hugging Face models might require authentication and may fail to load.")
 #     tool = AccentAnalyzerTool()
 #     analysis_agent, follow_up_agent = create_agent(tool)
 #     return tool, analysis_agent, follow_up_agent
@@ -67,80 +70,86 @@
 # if user_input:
 #     process_response()
 
+
+
 import streamlit as st
+import os
+import re
+
 from src.tools.accent_tool import AccentAnalyzerTool
 from src.app.main_agent import create_agent
 from langchain_core.messages import HumanMessage, AIMessage
-import re
-import os
 
-st.set_page_config(page_title="Accent Analyzer Agent", page_icon="💬", layout="centered")
+# Page config
+st.set_page_config(
+    page_title="Accent Analyzer Agent",
+    page_icon="💬",
+    layout="centered"
+)
 
 st.warning("⚠️ High latency due to CPU usage. Once migrated to GPU, response time will improve significantly.")
 st.title("English Accent Analyzer (Conversational)")
 st.subheader("Ask me to analyze a video URL, e.g.: \n\n `Analyze this video: https://github.com/ash-171/Data-mp4/raw/refs/heads/main/NWRNVTFlRGlnV0FfNDgwcA_out.mp4`")
 
-if "chat_history" not in st.session_state:
-    st.session_state.chat_history = [] 
-if "last_transcript_available" not in st.session_state:
-    st.session_state.last_transcript_available = False 
-if "processing_input" not in st.session_state:
-    st.session_state.processing_input = False 
-
+# Load tools and agents
 @st.cache_resource
-def load_tool_and_agent_cached():
+def load_tool_and_agent():
     with st.spinner("Loading AI models and tools... This might take a moment."):
         if not os.environ.get("HF_TOKEN"):
             st.warning("HF_TOKEN environment variable not found. Some Hugging Face models might require authentication and may fail to load.")
+    tool = AccentAnalyzerTool()
+    analysis_agent, follow_up_agent = create_agent(tool)
+    return tool, analysis_agent, follow_up_agent
 
-        tool = AccentAnalyzerTool()
-        analysis_agent, follow_up_agent = create_agent(tool)
-        return tool, analysis_agent, follow_up_agent
+accent_tool_obj, analysis_agent, follow_up_agent = load_tool_and_agent()
 
-accent_tool_obj, analysis_agent, follow_up_agent = load_tool_and_agent_cached()
+# Initialize session state variables
+if "chat_history" not in st.session_state:
+    st.session_state.chat_history = []
+if "pending_input" not in st.session_state:
+    st.session_state.pending_input = None
+if "pending_spinner_msg" not in st.session_state:
+    st.session_state.pending_spinner_msg = ""
 
+# Determine prompt type
 if hasattr(accent_tool_obj, "last_transcript") and accent_tool_obj.last_transcript:
-    st.session_state.last_transcript_available = True
+    prompt_label = "Ask more about the video..."
+    input_key = "followup"
 else:
-    st.session_state.last_transcript_available = False
-
-prompt_label = "Ask more about the video..." if st.session_state.last_transcript_available else "Paste your prompt here..."
-user_input = st.chat_input(prompt_label, disabled=st.session_state.processing_input)
+    prompt_label = "Paste your prompt here..."
+    input_key = "initial"
 
-if user_input and not st.session_state.processing_input:
-    st.session_state.processing_input = True 
-    st.session_state.chat_history.append(HumanMessage(content=user_input)) 
+# Chat input field
+user_input = st.chat_input(prompt_label, key=input_key)
 
+# Handle new user input (just queue for now)
+if user_input:
+    st.session_state.chat_history.append(HumanMessage(content=user_input))
+    st.session_state.pending_input = user_input
     if re.search(r'https?://\S+', user_input):
-        accent_tool_obj.last_transcript = "" 
-        st.session_state.last_transcript_available = False 
-        agent_to_run = analysis_agent
-        spinner_msg = "Analyzing new video and transcribing audio..."
+        accent_tool_obj.last_transcript = ""
+        st.session_state.pending_spinner_msg = "Analyzing new video..."
     else:
-        agent_to_run = follow_up_agent
-        spinner_msg = "Generating response based on transcript..."
-        
-    with st.spinner(spinner_msg):
-        try:
-            if agent_to_run == analysis_agent:
-                response_content = agent_to_run.invoke(st.session_state.chat_history)[-1].content
-            else:
-                response_content = follow_up_agent.invoke(st.session_state.chat_history).content
-
-            if agent_to_run == analysis_agent and hasattr(accent_tool_obj, "last_transcript") and accent_tool_obj.last_transcript:
-                st.session_state.last_transcript_available = True
-
-        except Exception as e:
-            response_content = f"Error: {str(e)}"
-            st.error(f"An error occurred during processing: {e}")
-
-    st.session_state.chat_history.append(AIMessage(content=response_content))
-    st.session_state.processing_input = False
+        st.session_state.pending_spinner_msg = "Responding based on transcript..."
     st.rerun()
 
+# Display chat history
 for msg in st.session_state.chat_history:
     with st.chat_message("user" if isinstance(msg, HumanMessage) else "assistant"):
         st.markdown(msg.content)
 
-if not st.session_state.chat_history:
-    st.info("Start by pasting a public MP4 video URL above!")
+# If input is queued, process it now
+if st.session_state.pending_input:
+    with st.spinner(st.session_state.pending_spinner_msg):
+        try:
+            if re.search(r'https?://\S+', st.session_state.pending_input):
+                result = analysis_agent.invoke(st.session_state.chat_history)[-1].content
+            else:
+                result = follow_up_agent.invoke(st.session_state.chat_history).content
+        except Exception as e:
+            result = f"Error: {str(e)}"
+        st.session_state.chat_history.append(AIMessage(content=result))
+    # Clear flags
+    st.session_state.pending_input = None
+    st.session_state.pending_spinner_msg = ""
+    st.rerun()