Update READMEs and comment files

examples/simple-chatbot/README.md

@@ -2,7 +2,18 @@
 
 <img src="image.png" width="420px">
 
-This repository demonstrates a simple AI chatbot with real-time audio/video interaction, implemented in three different ways. The bot server remains the same, but you can connect to it using three different client approaches.
+This repository demonstrates a simple AI chatbot with real-time audio/video interaction, implemented in three different ways. The bot server supports multiple AI backends, and you can connect to it using three different client approaches.
+
+## Two Bot Options
+
+1. **OpenAI Bot** (Default)
+
+   - Uses gpt-4o for conversation
+   - Requires OpenAI API key
+
+2. **Gemini Bot**
+   - Uses Google's Gemini Multimodal Live model
+   - Requires Gemini API key
 
 ## Three Ways to Connect
 
@@ -13,13 +24,13 @@ This repository demonstrates a simple AI chatbot with real-time audio/video inte
 
 2. **JavaScript**
 
-   - Basic implementation using RTVI JavaScript SDK
+   - Basic implementation using [Pipecat JavaScript SDK](https://docs.pipecat.ai/client/reference/js/introduction)
    - No framework dependencies
    - Good for learning the fundamentals
 
 3. **React**
-   - Basic impelmentation using RTVI React SDK
-   - Demonstrates the basic client principles with RTVI React
+   - Basic impelmentation using [Pipecat React SDK](https://docs.pipecat.ai/client/reference/react/introduction)
+   - Demonstrates the basic client principles with Pipecat React
 
 ## Quick Start
 
@@ -38,8 +49,12 @@ This repository demonstrates a simple AI chatbot with real-time audio/video inte
    ```bash
    pip install -r requirements.txt
    ```
-4. Copy env.example to .env and add your credentials
-
+4. Copy env.example to .env and configure:
+   - Add your API keys
+   - Choose your bot implementation:
+     ```ini
+     BOT_IMPLEMENTATION=      # Options: 'openai' (default) or 'gemini'
+     ```
 5. Start the server:
    ```bash
    python server.py
@@ -48,7 +63,7 @@ This repository demonstrates a simple AI chatbot with real-time audio/video inte
 ### Next, connect using your preferred client app:
 
 - [Daily Prebuilt](examples/prebuilt/README.md)
-- [Vanilla JavaScript Guide](examples/javascript/README.md)
+- [JavaScript Guide](examples/javascript/README.md)
 - [React Guide](examples/react/README.md)
 
 ## Important Note
@@ -60,21 +75,23 @@ The bot server must be running for any of the client implementations to work. St
 - Python 3.10+
 - Node.js 16+ (for JavaScript and React implementations)
 - Daily API key
-- OpenAI API key
-- Cartesia API key
+- OpenAI API key (for OpenAI bot)
+- Gemini API key (for Gemini bot)
+- ElevenLabs API key
 - Modern web browser with WebRTC support
 
 ## Project Structure
 
 ```
-simple-chatbot-full-stack/
-├── server/             # Bot server implementation
-│   ├── bot.py          # Bot logic and media handling
-│   ├── runner.py       # Server runner utilities
-│   ├── server.py       # FastAPI server
+simple-chatbot/
+├── server/              # Bot server implementation
+│   ├── bot-openai.py    # OpenAI bot implementation
+│   ├── bot-gemini.py    # Gemini bot implementation
+│   ├── runner.py        # Server runner utilities
+│   ├── server.py        # FastAPI server
 │   └── requirements.txt
-└── examples/           # Client implementations
-    ├── prebuilt/       # Daily Prebuilt connection
-    ├── javascript/     # JavaScript RTVI client
-    └── react/          # React RTVI client
+└── examples/            # Client implementations
+    ├── prebuilt/        # Daily Prebuilt connection
+    ├── javascript/      # Pipecat JavaScript client
+    └── react/           # Pipecat React client
 ```

examples/simple-chatbot/examples/javascript/README.md

@@ -1,10 +1,10 @@
 # JavaScript Implementation
 
-Basic implementation using the RTVI JavaScript SDK.
+Basic implementation using the [Pipecat JavaScript SDK](https://docs.pipecat.ai/client/reference/js/introduction).
 
 ## Setup
 
-1. Run the bot server; see [README](../../README).
+1. Run the bot server. See the [server README](../../README).
 
 2. Navigate to the `examples/javascript` directory:
 

examples/simple-chatbot/examples/react/README.md

@@ -1,6 +1,6 @@
 # React Implementation
 
-Basic implementation using the RTVI React SDK.
+Basic implementation using the [Pipecat React SDK](https://docs.pipecat.ai/client/reference/react/introduction).
 
 ## Setup
 

examples/simple-chatbot/examples/react/index.html

@@ -4,7 +4,7 @@
 <head>
   <meta charset="UTF-8" />
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>RTVI React Client</title>
+  <title>Pipecat React Client</title>
 </head>
 
 <body>

examples/simple-chatbot/server/bot-gemini.py

@@ -4,6 +4,18 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
+"""Gemini Bot Implementation.
+
+This module implements a chatbot using Google's Gemini Multimodal Live model.
+It includes:
+- Real-time audio/video interaction through Daily
+- Animated robot avatar
+- Speech-to-speech model
+
+The bot runs as part of a pipeline that processes audio/video frames and manages
+the conversation flow using Gemini's streaming capabilities.
+"""
+
 import asyncio
 import os
 import sys
@@ -21,7 +33,6 @@
     BotStoppedSpeakingFrame,
     EndFrame,
     Frame,
-    LLMMessagesFrame,
     OutputImageRawFrame,
     SpriteFrame,
 )
@@ -47,7 +58,6 @@
 logger.add(sys.stderr, level="DEBUG")
 
 sprites = []
-
 script_dir = os.path.dirname(__file__)
 
 for i in range(1, 26):
@@ -58,31 +68,41 @@
     with Image.open(full_path) as img:
         sprites.append(OutputImageRawFrame(image=img.tobytes(), size=img.size, format=img.format))
 
+# Create a smooth animation by adding reversed frames
 flipped = sprites[::-1]
 sprites.extend(flipped)
 
-# When the bot isn't talking, show a static image of the cat listening
-quiet_frame = sprites[0]
-talking_frame = SpriteFrame(images=sprites)
+# Define static and animated states
+quiet_frame = sprites[0]  # Static frame for when bot is listening
+talking_frame = SpriteFrame(images=sprites)  # Animation sequence for when bot is talking
 
 
 class TalkingAnimation(FrameProcessor):
-    """This class starts a talking animation when it receives an first AudioFrame.
+    """Manages the bot's visual animation states.
 
-    It then returns to a "quiet" sprite when it sees a TTSStoppedFrame.
+    Switches between static (listening) and animated (talking) states based on
+    the bot's current speaking status.
     """
 
     def __init__(self):
         super().__init__()
         self._is_talking = False
 
     async def process_frame(self, frame: Frame, direction: FrameDirection):
+        """Process incoming frames and update animation state.
+
+        Args:
+            frame: The incoming frame to process
+            direction: The direction of frame flow in the pipeline
+        """
         await super().process_frame(frame, direction)
 
+        # Switch to talking animation when bot starts speaking
         if isinstance(frame, BotStartedSpeakingFrame):
             if not self._is_talking:
                 await self.push_frame(talking_frame)
                 self._is_talking = True
+        # Return to static frame when bot stops speaking
         elif isinstance(frame, BotStoppedSpeakingFrame):
             await self.push_frame(quiet_frame)
             self._is_talking = False
@@ -91,9 +111,19 @@ async def process_frame(self, frame: Frame, direction: FrameDirection):
 
 
 async def main():
+    """Main bot execution function.
+
+    Sets up and runs the bot pipeline including:
+    - Daily video transport with specific audio parameters
+    - Gemini Live multimodal model integration
+    - Voice activity detection
+    - Animation processing
+    - RTVI event handling
+    """
     async with aiohttp.ClientSession() as session:
         (room_url, token) = await configure(session)
 
+        # Set up Daily transport with specific audio/video parameters for Gemini
         transport = DailyTransport(
             room_url,
             token,
@@ -111,6 +141,7 @@ async def main():
             ),
         )
 
+        # Initialize the Gemini Multimodal Live model
         llm = GeminiMultimodalLiveLLMService(
             api_key=os.getenv("GEMINI_API_KEY"),
             voice_id="Puck",  # Aoede, Charon, Fenrir, Kore, Puck
@@ -125,12 +156,16 @@ async def main():
             },
         ]
 
+        # Set up conversation context and management
+        # The context_aggregator will automatically collect conversation context
         context = OpenAILLMContext(messages)
         context_aggregator = llm.create_context_aggregator(context)
 
         ta = TalkingAnimation()
 
-        # RTVI
+        #
+        # RTVI events for Pipecat client UI
+        #
 
         # This will send `user-*-speaking` and `bot-*-speaking` messages.
         rtvi_speaking = RTVISpeakingProcessor()

examples/simple-chatbot/server/bot-openai.py

@@ -4,6 +4,19 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
+"""OpenAI Bot Implementation.
+
+This module implements a chatbot using OpenAI's GPT-4 model for natural language
+processing. It includes:
+- Real-time audio/video interaction through Daily
+- Animated robot avatar
+- Text-to-speech using ElevenLabs
+- Support for both English and Spanish
+
+The bot runs as part of a pipeline that processes audio/video frames and manages
+the conversation flow.
+"""
+
 import asyncio
 import os
 import sys
@@ -40,14 +53,13 @@
 from pipecat.transports.services.daily import DailyParams, DailyTransport
 
 load_dotenv(override=True)
-
 logger.remove(0)
 logger.add(sys.stderr, level="DEBUG")
 
 sprites = []
-
 script_dir = os.path.dirname(__file__)
 
+# Load sequential animation frames
 for i in range(1, 26):
     # Build the full path to the image file
     full_path = os.path.join(script_dir, f"assets/robot0{i}.png")
@@ -56,31 +68,41 @@
     with Image.open(full_path) as img:
         sprites.append(OutputImageRawFrame(image=img.tobytes(), size=img.size, format=img.format))
 
+# Create a smooth animation by adding reversed frames
 flipped = sprites[::-1]
 sprites.extend(flipped)
 
-# When the bot isn't talking, show a static image of the cat listening
-quiet_frame = sprites[0]
-talking_frame = SpriteFrame(images=sprites)
+# Define static and animated states
+quiet_frame = sprites[0]  # Static frame for when bot is listening
+talking_frame = SpriteFrame(images=sprites)  # Animation sequence for when bot is talking
 
 
 class TalkingAnimation(FrameProcessor):
-    """This class starts a talking animation when it receives an first AudioFrame.
+    """Manages the bot's visual animation states.
 
-    It then returns to a "quiet" sprite when it sees a TTSStoppedFrame.
+    Switches between static (listening) and animated (talking) states based on
+    the bot's current speaking status.
     """
 
     def __init__(self):
         super().__init__()
         self._is_talking = False
 
     async def process_frame(self, frame: Frame, direction: FrameDirection):
+        """Process incoming frames and update animation state.
+
+        Args:
+            frame: The incoming frame to process
+            direction: The direction of frame flow in the pipeline
+        """
         await super().process_frame(frame, direction)
 
+        # Switch to talking animation when bot starts speaking
         if isinstance(frame, BotStartedSpeakingFrame):
             if not self._is_talking:
                 await self.push_frame(talking_frame)
                 self._is_talking = True
+        # Return to static frame when bot stops speaking
         elif isinstance(frame, BotStoppedSpeakingFrame):
             await self.push_frame(quiet_frame)
             self._is_talking = False
@@ -89,9 +111,19 @@ async def process_frame(self, frame: Frame, direction: FrameDirection):
 
 
 async def main():
+    """Main bot execution function.
+
+    Sets up and runs the bot pipeline including:
+    - Daily video transport
+    - Speech-to-text and text-to-speech services
+    - Language model integration
+    - Animation processing
+    - RTVI event handling
+    """
     async with aiohttp.ClientSession() as session:
         (room_url, token) = await configure(session)
 
+        # Set up Daily transport with video/audio parameters
         transport = DailyTransport(
             room_url,
             token,
@@ -115,6 +147,7 @@ async def main():
             ),
         )
 
+        # Initialize text-to-speech service
         tts = ElevenLabsTTSService(
             api_key=os.getenv("ELEVENLABS_API_KEY"),
             #
@@ -128,6 +161,7 @@ async def main():
             # voice_id="gD1IexrzCvsXPHUuT0s3",
         )
 
+        # Initialize LLM service
         llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"), model="gpt-4o")
 
         messages = [
@@ -144,12 +178,16 @@ async def main():
             },
         ]
 
+        # Set up conversation context and management
+        # The context_aggregator will automatically collect conversation context
         context = OpenAILLMContext(messages)
         context_aggregator = llm.create_context_aggregator(context)
 
         ta = TalkingAnimation()
 
-        # RTVI
+        #
+        # RTVI events for Pipecat client UI
+        #
 
         # This will send `user-*-speaking` and `bot-*-speaking` messages.
         rtvi_speaking = RTVISpeakingProcessor()