Spaces:
Sleeping
Sleeping
better formatting
Browse files- app.py +11 -22
- charles_actor.py +26 -23
app.py
CHANGED
@@ -39,34 +39,24 @@ if not ray.is_initialized():
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async def main():
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system_one_audio_status = st.empty()
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system_one_audio_status.write("Initializing streaming")
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# system_one_audio_output = st.empty()
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# system_one_video_output = st.empty()
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# system_one_audio_history = []
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col1, col2 = st.columns(2)
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with col1:
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charles_actor_debug_output = st.empty()
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environment_state_ouput = st.empty()
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# Initialize resources if not already done
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system_one_audio_status.write("Initializing streaming")
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if "streamlit_av_queue" not in st.session_state:
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from streamlit_av_queue import StreamlitAVQueue
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st.session_state.streamlit_av_queue = StreamlitAVQueue()
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system_one_audio_status.write("resources referecned")
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system_one_audio_status.write("Initializing webrtc_streamer")
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with col2:
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playing = st.checkbox("Playing", value=True)
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webrtc_ctx = webrtc_streamer(
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key="charles",
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@@ -87,12 +77,11 @@ async def main():
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rtc_configuration={"iceServers": get_ice_servers()},
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async_processing=True,
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)
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if not webrtc_ctx.state.playing:
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exit
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system_one_audio_status.write("Initializing speech")
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from charles_actor import CharlesActor
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charles_actor = None
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async def main():
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st.title("Project Charles")
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col1, col2 = st.columns(2)
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with col1:
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nested_col1, nested_col2 = st.columns(2)
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with nested_col1:
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listening = st.checkbox("Listen", value=True)
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with nested_col2:
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looking = st.checkbox("Look", value=False)
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charles_actor_debug_output = st.empty()
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environment_state_ouput = st.empty()
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with col2:
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if "streamlit_av_queue" not in st.session_state:
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from streamlit_av_queue import StreamlitAVQueue
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st.session_state.streamlit_av_queue = StreamlitAVQueue()
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playing = st.checkbox("Playing", value=True)
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webrtc_ctx = webrtc_streamer(
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key="charles",
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rtc_configuration={"iceServers": get_ice_servers()},
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async_processing=True,
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)
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system_one_audio_status = st.markdown("Initializing streaming")
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if not webrtc_ctx.state.playing:
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exit
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from charles_actor import CharlesActor
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charles_actor = None
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charles_actor.py
CHANGED
@@ -61,13 +61,19 @@ class CharlesActor:
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await self._initalize_resources()
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debug_output_history = []
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def add_debug_output(output):
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debug_output_history.append(output)
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if len(debug_output_history) > 10:
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debug_output_history.pop(0)
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table_content += "\n".join([f"| {item} |" for item in reversed(debug_output_history)])
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self._charles_actor_debug_output = table_content
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self._state = "Waiting for input"
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total_video_frames = 0
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@@ -123,12 +129,12 @@ class CharlesActor:
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if speaker_finished and len(prompt) > 0 and prompt not in prompts_to_ignore:
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print(f"Prompt: {prompt}")
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for i, response in enumerate(current_responses):
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line
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line += f"{response} [{speech_chunks_per_response[i]}]"
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add_debug_output(line)
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add_debug_output(f"π¨ {prompt}")
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current_responses = []
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@@ -156,23 +162,20 @@ class CharlesActor:
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response_id = chunk['llm_sentence_id']
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speech_chunks_per_response[response_id] += 1
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if len(robot_preview_text) > 0:
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debug_output_history_copy.append(robot_preview_text)
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lines = []
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for i, response in enumerate(current_responses):
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line
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line += f"
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if len(human_preview_text) > 0:
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if len(
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self._charles_actor_debug_output = table_content
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await asyncio.sleep(0.01)
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await self._initalize_resources()
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debug_output_history = []
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def render_debug_output(list_of_strings):
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table_content = "##### Chat history\n"
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for item in reversed(list_of_strings):
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# table_content += f"\n```markdown\n{item}\n```\n"
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table_content += f"\n{item}\n"
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self._charles_actor_debug_output = table_content
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def add_debug_output(output):
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debug_output_history.append(output)
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if len(debug_output_history) > 10:
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debug_output_history.pop(0)
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render_debug_output(debug_output_history)
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self._state = "Waiting for input"
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total_video_frames = 0
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if speaker_finished and len(prompt) > 0 and prompt not in prompts_to_ignore:
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print(f"Prompt: {prompt}")
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line = ""
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for i, response in enumerate(current_responses):
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line += "π€ " if len(line) == 0 else ""
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# line += f"{response} [{speech_chunks_per_response[i]}] \n"
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line += f"[{speech_chunks_per_response[i]}] {response} \n"
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if len(line) > 0:
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add_debug_output(line)
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add_debug_output(f"π¨ {prompt}")
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current_responses = []
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response_id = chunk['llm_sentence_id']
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speech_chunks_per_response[response_id] += 1
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list_of_strings = debug_output_history.copy()
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line = ""
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for i, response in enumerate(current_responses):
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line += "π€ " if len(line) == 0 else ""
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line += f"[{speech_chunks_per_response[i]}] {response} \n"
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# line += f"{response} [{speech_chunks_per_response[i]}] \n"
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if len(robot_preview_text) > 0:
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line += robot_preview_text+" \n"
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list_of_strings.append(line)
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if len(human_preview_text) > 0:
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list_of_strings.append(human_preview_text)
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if len(list_of_strings) > 10:
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list_of_strings.pop(0)
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render_debug_output(list_of_strings)
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await asyncio.sleep(0.01)
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