updated structure

README.md

@@ -3,19 +3,15 @@
 An interactive AI-powered assistant built with Streamlit! Chat with advanced models, get voice responses, and upload all kinds of media to unlock the potential of AI in real time. Super AI Assistant brings Google Gemini and Groq models directly to you with a range of features and an easy-to-use interface.
 
 ---
-
+![Super AI Assistant](assets/pic1.jpg)
 ## Features
 
 - **Model Selection:** Pick between Google Gemini or Groq's open-source models. The app's sidebar adapts dynamically based on your choice.
-
 - **Multi-Modality:** Enter text or upload images, audio, video, PDFs, Docx files, and even record voice input, all in one place. Snap a picture with your camera, and the app will process it as input!
-
+- **Parameter Customization:** Control the temperature and maximum tokens to change the behavior of the models.
 - **Voice Response:** Get voice responses with multiple voice options to personalize your experience.
-
 - **Chat History:** Keep track of your conversation history. The app remembers your messages, allowing you to continue from where you left off—or reset anytime for a fresh start.
-
 - **Agent-Based Tasks:** Select tools for specific agent tasks to retrieve real-time information on your chosen topics.
-
 - **Summarization:** Effortlessly summarize webpages and YouTube videos.
 Just input a URL, and the app will provide a markdown summary!
 
@@ -47,7 +43,7 @@ cd Super-AI-Assistant-App
 Create a virtual environment to keep dependencies organized.
 
 ```bash
-python3 -m venv venv
+python -m venv venv
 source venv/bin/activate  # On Windows, use `venv\Scripts\activate`
 ```
 
@@ -67,7 +63,7 @@ Create your API keys for Google Gemini and Groq and save them somewhere secure.
 streamlit run app.py
 ```
 
-Your app should now be running at `http://localhost:8501`!
+Your app should now be running at `http://localhost:8501`
 
 ---
 
@@ -80,5 +76,3 @@ Your app should now be running at `http://localhost:8501`!
 ---
 
 Get ready to experience a powerful, multi-modal AI assistant with features that adapt to all your needs! 🚀
-
----

app.py

@@ -17,7 +17,7 @@ import asyncio
 import edge_tts
 
 st.set_page_config(
-    page_title="Super GPT",
+    page_title="Super AI Assistant",
     page_icon="⚡",
     layout="wide",
     initial_sidebar_state="auto",
@@ -363,10 +363,10 @@ def process_user_input(message_container, trasncribed_text):
             message_container.error("Couldn't recognize your speech.", icon="❌")
             return
 
-        message_container.chat_message("user", avatar="user.png").markdown(question)
+        message_container.chat_message("user", avatar="assets/user.png").markdown(question)
         update_chat_history("user", question, st.session_state.groq_chat_history)
 
-        with message_container.chat_message("assistant", avatar="assistant.png"):
+        with message_container.chat_message("assistant", avatar="assets/assistant.png"):
             try:
                 final_response = handle_groq_response(model_params, groq_api_key, question, 
                                                       st.session_state.groq_chat_history, 
@@ -381,14 +381,14 @@ def process_user_input(message_container, trasncribed_text):
 
     else:  # Gemini models
         if not st.session_state.speech_file_added:
-            message_container.chat_message("user", avatar="user.png").markdown(prompt)
+            message_container.chat_message("user", avatar="assets/user.png").markdown(prompt)
             content = [{"type": "text", "text": prompt}]
         else:
             content = [{"type": "text", "text": "Listen attentively to the audio. If there is a question in the audio, answer it professionally."}]
 
         update_chat_history("user", content, st.session_state.messages)
 
-        with message_container.chat_message("assistant", avatar="assistant.png"):
+        with message_container.chat_message("assistant", avatar="assets/assistant.png"):
             try:
                 final_response = st.write_stream(stream_gemini_response(model_params=model_params, api_key=google_api_key))
 
@@ -403,7 +403,7 @@ def process_user_input(message_container, trasncribed_text):
 
 ##--- API KEYS ---##
 with st.sidebar:
-    st.logo("logo.png")
+    st.logo(image="assets/logo.png")
     api_cols = st.columns(2)
     with api_cols[0]:
         with st.popover("🔐 Groq", use_container_width=True):
@@ -424,7 +424,7 @@ else:
         columns = st.columns(2)
         # animation
         with columns[0]:
-            lottie_animation = load_lottie_file("animation.json")
+            lottie_animation = load_lottie_file("assets/animation.json")
             if lottie_animation:
                 st_lottie(lottie_animation, height=100, width=100, quality="high", key="lottie_anim")
 
@@ -565,7 +565,7 @@ else:
                 valid_contents = [content for content in message["content"] if is_valid_content(content)]
 
                 if valid_contents:
-                    avatar = "assistant.png" if message["role"] == "assistant" else "user.png"
+                    avatar = "assets/assistant.png" if message["role"] == "assistant" else "assets/user.png"
 
                     with message_container.chat_message(message["role"], avatar=avatar):
                         for content in valid_contents:
@@ -573,14 +573,14 @@ else:
                             
         if model_type == "groq":
             for msg in st.session_state.groq_chat_history:
-                avatar = "assistant.png" if msg["role"] == "assistant" else "user.png"
+                avatar = "assets/assistant.png" if msg["role"] == "assistant" else "assets/user.png"
                 with message_container.chat_message(msg["role"], avatar=avatar):
                     st.markdown(msg['content'])
 
  ###---- Summarizer model------###
     if model_type == "groq" and groq_llm_type == "Summarizer":
         if st.session_state.summarize:
-            with message_container.chat_message("assistant", avatar="assistant.png"):
+            with message_container.chat_message("assistant", avatar="assets/assistant.png"):
                 if not url.strip():
                     st.error("Please enter a URL")
                 elif not validators.url(url):

requirements.txt

@@ -2,9 +2,7 @@ streamlit
 google-generativeai
 audio-recorder-streamlit
 streamlit_toggle
-streamlit-vertical-slider
 streamlit-lottie
-streamlit-float
 python-dotenv
 langchain
 langchain-groq