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f27b243
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2 Parent(s): 41d40f0 377dd8e

Merge pull request #55 from pollen-robotics/optional-local-vision

Browse files
.env.example CHANGED
@@ -1,10 +1,11 @@
1
  OPENAI_API_KEY=
2
  MODEL_NAME="gpt-realtime"
3
 
4
- # Local vision model
 
5
  LOCAL_VISION_MODEL=HuggingFaceTB/SmolVLM2-2.2B-Instruct
6
 
7
- # Cache for local VLM
8
  HF_HOME=./cache
9
 
10
  # Hugging Face token for accessing datasets/models
 
1
  OPENAI_API_KEY=
2
  MODEL_NAME="gpt-realtime"
3
 
4
+ # Local vision model (only used with --local-vision CLI flag)
5
+ # By default, vision is handled by gpt-realtime when the camera tool is used
6
  LOCAL_VISION_MODEL=HuggingFaceTB/SmolVLM2-2.2B-Instruct
7
 
8
+ # Cache for local VLM (only used with --local-vision CLI flag)
9
  HF_HOME=./cache
10
 
11
  # Hugging Face token for accessing datasets/models
README.md CHANGED
@@ -6,7 +6,7 @@ Conversational demo for the Reachy Mini robot combining OpenAI's realtime APIs,
6
 
7
  ## Overview
8
  - Real-time audio conversation loop powered by the OpenAI realtime API and `fastrtc` for low-latency streaming.
9
- - Local vision processing using SmolVLM2 model running on-device (CPU/GPU/MPS).
10
  - Layered motion system queues primary moves (dances, emotions, goto poses, breathing) while blending speech-reactive wobble and face-tracking.
11
  - Async tool dispatch integrates robot motion, camera capture, and optional face-tracking capabilities through a Gradio web UI with live transcripts.
12
 
@@ -75,10 +75,10 @@ Some wheels (e.g. PyTorch) are large and require compatible CUDA or CPU builds
75
  | Variable | Description |
76
  |----------|-------------|
77
  | `OPENAI_API_KEY` | Required. Grants access to the OpenAI realtime endpoint.
78
- | `MODEL_NAME` | Override the realtime model (defaults to `gpt-realtime`).
79
- | `HF_HOME` | Cache directory for local Hugging Face downloads (defaults to `./cache`).
80
- | `HF_TOKEN` | Optional token for Hugging Face models (falls back to `huggingface-cli login`).
81
- | `LOCAL_VISION_MODEL` | Hugging Face model path for local vision processing (defaults to `HuggingFaceTB/SmolVLM2-2.2B-Instruct`).
82
 
83
  ## Running the demo
84
 
@@ -88,7 +88,7 @@ Activate your virtual environment, ensure the Reachy Mini robot (or simulator) i
88
  reachy-mini-conversation-demo
89
  ```
90
 
91
- By default, the app runs in console mode for direct audio interaction. Use the `--gradio` flag to launch a web UI served locally at http://127.0.0.1:7860/ (required when running in simulation mode). With a camera attached, captured frames are analyzed locally using the SmolVLM2 vision model. Additionally, you can enable face tracking via YOLO or MediaPipe pipelines depending on the extras you installed.
92
 
93
  ### CLI options
94
 
@@ -96,6 +96,7 @@ By default, the app runs in console mode for direct audio interaction. Use the `
96
  |--------|---------|-------------|
97
  | `--head-tracker {yolo,mediapipe}` | `None` | Select a face-tracking backend when a camera is available. YOLO is implemented locally, MediaPipe comes from the `reachy_mini_toolbox` package. Requires the matching optional extra. |
98
  | `--no-camera` | `False` | Run without camera capture or face tracking. |
 
99
  | `--gradio` | `False` | Launch the Gradio web UI. Without this flag, runs in console mode. Required when running in simulation mode. |
100
  | `--debug` | `False` | Enable verbose logging for troubleshooting. |
101
 
@@ -107,6 +108,12 @@ By default, the app runs in console mode for direct audio interaction. Use the `
107
  reachy-mini-conversation-demo --head-tracker mediapipe
108
  ```
109
 
 
 
 
 
 
 
110
  - Disable the camera pipeline (audio-only conversation):
111
 
112
  ```bash
@@ -118,7 +125,7 @@ By default, the app runs in console mode for direct audio interaction. Use the `
118
  | Tool | Action | Dependencies |
119
  |------|--------|--------------|
120
  | `move_head` | Queue a head pose change (left/right/up/down/front). | Core install only. |
121
- | `camera` | Capture the latest camera frame and optionally query a vision backend. | Requires camera worker; vision analysis depends on selected extras. |
122
  | `head_tracking` | Enable or disable face-tracking offsets (not facial recognition - only detects and tracks face position). | Camera worker with configured head tracker. |
123
  | `dance` | Queue a dance from `reachy_mini_dances_library`. | Core install only. |
124
  | `stop_dance` | Clear queued dances. | Core install only. |
 
6
 
7
  ## Overview
8
  - Real-time audio conversation loop powered by the OpenAI realtime API and `fastrtc` for low-latency streaming.
9
+ - Vision processing uses gpt-realtime by default (when camera tool is used), with optional local vision processing using SmolVLM2 model running on-device (CPU/GPU/MPS) via `--local-vision` flag.
10
  - Layered motion system queues primary moves (dances, emotions, goto poses, breathing) while blending speech-reactive wobble and face-tracking.
11
  - Async tool dispatch integrates robot motion, camera capture, and optional face-tracking capabilities through a Gradio web UI with live transcripts.
12
 
 
75
  | Variable | Description |
76
  |----------|-------------|
77
  | `OPENAI_API_KEY` | Required. Grants access to the OpenAI realtime endpoint.
78
+ | `MODEL_NAME` | Override the realtime model (defaults to `gpt-realtime`). Used for both conversation and vision (unless `--local-vision` flag is used).
79
+ | `HF_HOME` | Cache directory for local Hugging Face downloads (only used with `--local-vision` flag, defaults to `./cache`).
80
+ | `HF_TOKEN` | Optional token for Hugging Face models (only used with `--local-vision` flag, falls back to `huggingface-cli login`).
81
+ | `LOCAL_VISION_MODEL` | Hugging Face model path for local vision processing (only used with `--local-vision` flag, defaults to `HuggingFaceTB/SmolVLM2-2.2B-Instruct`).
82
 
83
  ## Running the demo
84
 
 
88
  reachy-mini-conversation-demo
89
  ```
90
 
91
+ By default, the app runs in console mode for direct audio interaction. Use the `--gradio` flag to launch a web UI served locally at http://127.0.0.1:7860/ (required when running in simulation mode). With a camera attached, vision is handled by the gpt-realtime model when the camera tool is used. For local vision processing, use the `--local-vision` flag to process frames periodically using the SmolVLM2 model. Additionally, you can enable face tracking via YOLO or MediaPipe pipelines depending on the extras you installed.
92
 
93
  ### CLI options
94
 
 
96
  |--------|---------|-------------|
97
  | `--head-tracker {yolo,mediapipe}` | `None` | Select a face-tracking backend when a camera is available. YOLO is implemented locally, MediaPipe comes from the `reachy_mini_toolbox` package. Requires the matching optional extra. |
98
  | `--no-camera` | `False` | Run without camera capture or face tracking. |
99
+ | `--local-vision` | `False` | Use local vision model (SmolVLM2) for periodic image processing instead of gpt-realtime vision. Requires `local_vision` extra to be installed. |
100
  | `--gradio` | `False` | Launch the Gradio web UI. Without this flag, runs in console mode. Required when running in simulation mode. |
101
  | `--debug` | `False` | Enable verbose logging for troubleshooting. |
102
 
 
108
  reachy-mini-conversation-demo --head-tracker mediapipe
109
  ```
110
 
111
+ - Run with local vision processing (requires `local_vision` extra):
112
+
113
+ ```bash
114
+ reachy-mini-conversation-demo --local-vision
115
+ ```
116
+
117
  - Disable the camera pipeline (audio-only conversation):
118
 
119
  ```bash
 
125
  | Tool | Action | Dependencies |
126
  |------|--------|--------------|
127
  | `move_head` | Queue a head pose change (left/right/up/down/front). | Core install only. |
128
+ | `camera` | Capture the latest camera frame and send it to gpt-realtime for vision analysis. | Requires camera worker; uses gpt-realtime vision by default. |
129
  | `head_tracking` | Enable or disable face-tracking offsets (not facial recognition - only detects and tracks face position). | Camera worker with configured head tracker. |
130
  | `dance` | Queue a dance from `reachy_mini_dances_library`. | Core install only. |
131
  | `stop_dance` | Clear queued dances. | Core install only. |
pyproject.toml CHANGED
@@ -16,7 +16,6 @@ dependencies = [
16
  "gradio>=5.49.0",
17
  "huggingface_hub>=0.34.4",
18
  "opencv-python>=4.12.0.88",
19
- "num2words",
20
 
21
  #Environment variables
22
  "python-dotenv",
@@ -31,7 +30,7 @@ dependencies = [
31
  ]
32
 
33
  [project.optional-dependencies]
34
- local_vision = ["torch", "transformers"]
35
  yolo_vision = ["ultralytics", "supervision"]
36
  mediapipe_vision = ["mediapipe>=0.10.14"]
37
  all_vision = [
 
16
  "gradio>=5.49.0",
17
  "huggingface_hub>=0.34.4",
18
  "opencv-python>=4.12.0.88",
 
19
 
20
  #Environment variables
21
  "python-dotenv",
 
30
  ]
31
 
32
  [project.optional-dependencies]
33
+ local_vision = ["torch", "transformers", "num2words"]
34
  yolo_vision = ["ultralytics", "supervision"]
35
  mediapipe_vision = ["mediapipe>=0.10.14"]
36
  all_vision = [
src/reachy_mini_conversation_demo/main.py CHANGED
@@ -99,6 +99,8 @@ def main():
99
  head_wobbler.start()
100
  if camera_worker:
101
  camera_worker.start()
 
 
102
 
103
  try:
104
  stream_manager.launch()
@@ -113,6 +115,8 @@ def main():
113
  head_wobbler.stop()
114
  if camera_worker:
115
  camera_worker.stop()
 
 
116
 
117
  # prevent connection to keep alive some threads
118
  robot.client.disconnect()
 
99
  head_wobbler.start()
100
  if camera_worker:
101
  camera_worker.start()
102
+ if vision_manager:
103
+ vision_manager.start()
104
 
105
  try:
106
  stream_manager.launch()
 
115
  head_wobbler.stop()
116
  if camera_worker:
117
  camera_worker.stop()
118
+ if vision_manager:
119
+ vision_manager.stop()
120
 
121
  # prevent connection to keep alive some threads
122
  robot.client.disconnect()
src/reachy_mini_conversation_demo/openai_realtime.py CHANGED
@@ -36,8 +36,6 @@ class OpenaiRealtimeHandler(AsyncStreamHandler):
36
  self.connection = None
37
  self.output_queue = asyncio.Queue()
38
 
39
- self._pending_calls: dict[str, dict] = {}
40
-
41
  self.last_activity_time = asyncio.get_event_loop().time()
42
  self.start_time = asyncio.get_event_loop().time()
43
  self.is_idle_tool_call = False
@@ -115,33 +113,10 @@ class OpenaiRealtimeHandler(AsyncStreamHandler):
115
  )
116
 
117
  # ---- tool-calling plumbing ----
118
- # 1) model announces a function call item; capture name + call_id
119
- if event.type == "response.output_item.added":
120
- item = getattr(event, "item", None)
121
- if item and getattr(item, "type", "") == "function_call":
122
- call_id = getattr(item, "call_id", None)
123
- name = getattr(item, "name", None)
124
- if call_id and name:
125
- self._pending_calls[call_id] = {
126
- "name": name,
127
- "args_buf": "",
128
- }
129
-
130
- # 2) model streams JSON arguments; buffer them by call_id
131
- if event.type == "response.function_call_arguments.delta":
132
- call_id = getattr(event, "call_id", None)
133
- delta = getattr(event, "delta", "")
134
- if call_id in self._pending_calls:
135
- self._pending_calls[call_id]["args_buf"] += delta
136
-
137
- # 3) when args done, execute Python tool, send function_call_output, then trigger a new response
138
  if event.type == "response.function_call_arguments.done":
 
 
139
  call_id = getattr(event, "call_id", None)
140
- tool_call_info = self._pending_calls.get(call_id)
141
- if not tool_call_info:
142
- continue
143
- tool_name = tool_call_info["name"]
144
- args_json_str = tool_call_info["args_buf"] or "{}"
145
 
146
  try:
147
  tool_result = await dispatch_tool_call(tool_name, args_json_str, self.deps)
@@ -171,7 +146,11 @@ class OpenaiRealtimeHandler(AsyncStreamHandler):
171
  )
172
 
173
  if tool_name == "camera" and "b64_im" in tool_result:
174
- b64_im = json.dumps(tool_result["b64_im"])
 
 
 
 
175
  await self.connection.conversation.item.create(
176
  item={
177
  "type": "message",
@@ -209,8 +188,6 @@ class OpenaiRealtimeHandler(AsyncStreamHandler):
209
 
210
  # re synchronize the head wobble after a tool call that may have taken some time
211
  self.deps.head_wobbler.reset()
212
- # cleanup
213
- self._pending_calls.pop(call_id, None)
214
 
215
  # server error
216
  if event.type == "error":
 
36
  self.connection = None
37
  self.output_queue = asyncio.Queue()
38
 
 
 
39
  self.last_activity_time = asyncio.get_event_loop().time()
40
  self.start_time = asyncio.get_event_loop().time()
41
  self.is_idle_tool_call = False
 
113
  )
114
 
115
  # ---- tool-calling plumbing ----
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
116
  if event.type == "response.function_call_arguments.done":
117
+ tool_name = getattr(event, "name", None)
118
+ args_json_str = getattr(event, "arguments", None)
119
  call_id = getattr(event, "call_id", None)
 
 
 
 
 
120
 
121
  try:
122
  tool_result = await dispatch_tool_call(tool_name, args_json_str, self.deps)
 
146
  )
147
 
148
  if tool_name == "camera" and "b64_im" in tool_result:
149
+ # use raw base64, don't json.dumps (which adds quotes)
150
+ b64_im = tool_result["b64_im"]
151
+ if not isinstance(b64_im, str):
152
+ logger.warning("Unexpected type for b64_im: %s", type(b64_im))
153
+ b64_im = str(b64_im)
154
  await self.connection.conversation.item.create(
155
  item={
156
  "type": "message",
 
188
 
189
  # re synchronize the head wobble after a tool call that may have taken some time
190
  self.deps.head_wobbler.reset()
 
 
191
 
192
  # server error
193
  if event.type == "error":
src/reachy_mini_conversation_demo/utils.py CHANGED
@@ -16,13 +16,18 @@ def parse_args():
16
  help="Choose head tracker (default: None)",
17
  )
18
  parser.add_argument("--no-camera", default=False, action="store_true", help="Disable camera usage")
 
19
  parser.add_argument("--gradio", default=False, action="store_true", help="Open gradio interface")
20
  parser.add_argument("--debug", default=False, action="store_true", help="Enable debug logging")
21
  return parser.parse_args()
22
 
23
 
24
  def handle_vision_stuff(args, current_robot):
25
- """Initialize camera, head tracker, camera worker, and vision manager."""
 
 
 
 
26
  camera_worker = None
27
  head_tracker = None
28
  vision_manager = None
@@ -40,8 +45,11 @@ def handle_vision_stuff(args, current_robot):
40
  # Initialize camera worker
41
  camera_worker = CameraWorker(current_robot, head_tracker)
42
 
43
- # Initialize vision manager (handles model download and configuration)
44
- vision_manager = initialize_vision_manager(camera_worker)
 
 
 
45
 
46
  return camera_worker, head_tracker, vision_manager
47
 
 
16
  help="Choose head tracker (default: None)",
17
  )
18
  parser.add_argument("--no-camera", default=False, action="store_true", help="Disable camera usage")
19
+ parser.add_argument("--local-vision", default=False, action="store_true", help="Use local vision model instead of gpt-realtime vision")
20
  parser.add_argument("--gradio", default=False, action="store_true", help="Open gradio interface")
21
  parser.add_argument("--debug", default=False, action="store_true", help="Enable debug logging")
22
  return parser.parse_args()
23
 
24
 
25
  def handle_vision_stuff(args, current_robot):
26
+ """Initialize camera, head tracker, camera worker, and vision manager.
27
+
28
+ By default, vision is handled by gpt-realtime model when camera tool is used.
29
+ If --local-vision flag is used, a local vision model will process images periodically.
30
+ """
31
  camera_worker = None
32
  head_tracker = None
33
  vision_manager = None
 
45
  # Initialize camera worker
46
  camera_worker = CameraWorker(current_robot, head_tracker)
47
 
48
+ # Initialize vision manager only if local vision is requested
49
+ if args.local_vision:
50
+ vision_manager = initialize_vision_manager(camera_worker)
51
+ else:
52
+ logging.getLogger(__name__).info("Using gpt-realtime for vision (default). Use --local-vision for local processing.")
53
 
54
  return camera_worker, head_tracker, vision_manager
55
 
src/reachy_mini_conversation_demo/vision/processors.py CHANGED
@@ -1,7 +1,6 @@
1
  import os
2
  import time
3
  import base64
4
- import asyncio
5
  import logging
6
  import threading
7
  from typing import Any, Dict, Optional
@@ -214,44 +213,57 @@ class VisionManager:
214
  self.processor = VisionProcessor(self.vision_config)
215
 
216
  self._last_processed_time = 0
 
 
217
 
218
  # Initialize processor
219
  if not self.processor.initialize():
220
  logger.error("Failed to initialize vision processor")
221
  raise RuntimeError("Vision processor initialization failed")
222
 
223
- async def enable(self, stop_event: threading.Event):
 
 
 
 
 
 
 
 
 
 
 
 
 
 
224
  """Vision processing loop (runs in separate thread)."""
225
- while not stop_event.is_set():
226
  try:
227
  current_time = time.time()
228
 
229
  if current_time - self._last_processed_time >= self.vision_interval:
230
  frame = self.camera.get_latest_frame()
231
  if frame is not None:
232
- description = await asyncio.to_thread(
233
- lambda: self.processor.process_image(
234
- frame, "Briefly describe what you see in one sentence."
235
- )
236
  )
237
 
238
  # Only update if we got a valid response
239
  if description and not description.startswith(("Vision", "Failed", "Error")):
240
  self._last_processed_time = current_time
241
-
242
- logger.info(f"Vision update: {description}")
243
  else:
244
  logger.warning(f"Invalid vision response: {description}")
245
 
246
- await asyncio.sleep(1.0) # Check every second
247
 
248
  except Exception:
249
  logger.exception("Vision processing loop error")
250
- await asyncio.sleep(5.0) # Longer sleep on error
251
 
252
  logger.info("Vision loop finished")
253
 
254
- async def get_status(self) -> Dict[str, Any]:
255
  """Get comprehensive status information."""
256
  return {
257
  "last_processed": self._last_processed_time,
 
1
  import os
2
  import time
3
  import base64
 
4
  import logging
5
  import threading
6
  from typing import Any, Dict, Optional
 
213
  self.processor = VisionProcessor(self.vision_config)
214
 
215
  self._last_processed_time = 0
216
+ self._stop_event = threading.Event()
217
+ self._thread: Optional[threading.Thread] = None
218
 
219
  # Initialize processor
220
  if not self.processor.initialize():
221
  logger.error("Failed to initialize vision processor")
222
  raise RuntimeError("Vision processor initialization failed")
223
 
224
+ def start(self) -> None:
225
+ """Start the vision processing loop in a thread."""
226
+ self._stop_event.clear()
227
+ self._thread = threading.Thread(target=self._working_loop, daemon=True)
228
+ self._thread.start()
229
+ logger.info("Local vision processing started")
230
+
231
+ def stop(self) -> None:
232
+ """Stop the vision processing loop."""
233
+ self._stop_event.set()
234
+ if self._thread is not None:
235
+ self._thread.join()
236
+ logger.info("Local vision processing stopped")
237
+
238
+ def _working_loop(self) -> None:
239
  """Vision processing loop (runs in separate thread)."""
240
+ while not self._stop_event.is_set():
241
  try:
242
  current_time = time.time()
243
 
244
  if current_time - self._last_processed_time >= self.vision_interval:
245
  frame = self.camera.get_latest_frame()
246
  if frame is not None:
247
+ description = self.processor.process_image(
248
+ frame, "Briefly describe what you see in one sentence."
 
 
249
  )
250
 
251
  # Only update if we got a valid response
252
  if description and not description.startswith(("Vision", "Failed", "Error")):
253
  self._last_processed_time = current_time
254
+ logger.debug(f"Vision update: {description}")
 
255
  else:
256
  logger.warning(f"Invalid vision response: {description}")
257
 
258
+ time.sleep(1.0) # Check every second
259
 
260
  except Exception:
261
  logger.exception("Vision processing loop error")
262
+ time.sleep(5.0) # Longer sleep on error
263
 
264
  logger.info("Vision loop finished")
265
 
266
+ def get_status(self) -> Dict[str, Any]:
267
  """Get comprehensive status information."""
268
  return {
269
  "last_processed": self._last_processed_time,
uv.lock CHANGED
@@ -3513,7 +3513,7 @@ wheels = [
3513
  [[package]]
3514
  name = "reachy-mini"
3515
  version = "0.1.0"
3516
- source = { git = "ssh://git@github.com/pollen-robotics/reachy_mini?rev=develop#f476e7e04e092f8a76c4f8e50ff4de538c722012" }
3517
  dependencies = [
3518
  { name = "aiohttp" },
3519
  { name = "asgiref" },
@@ -3543,7 +3543,6 @@ dependencies = [
3543
  { name = "fastrtc" },
3544
  { name = "gradio" },
3545
  { name = "huggingface-hub" },
3546
- { name = "num2words" },
3547
  { name = "openai" },
3548
  { name = "opencv-python" },
3549
  { name = "python-dotenv" },
@@ -3555,12 +3554,14 @@ dependencies = [
3555
  [package.optional-dependencies]
3556
  all-vision = [
3557
  { name = "mediapipe" },
 
3558
  { name = "supervision" },
3559
  { name = "torch" },
3560
  { name = "transformers" },
3561
  { name = "ultralytics" },
3562
  ]
3563
  local-vision = [
 
3564
  { name = "torch" },
3565
  { name = "transformers" },
3566
  ]
@@ -3585,7 +3586,7 @@ requires-dist = [
3585
  { name = "gradio", specifier = ">=5.49.0" },
3586
  { name = "huggingface-hub", specifier = ">=0.34.4" },
3587
  { name = "mediapipe", marker = "extra == 'mediapipe-vision'", specifier = ">=0.10.14" },
3588
- { name = "num2words" },
3589
  { name = "openai", specifier = ">=2.1" },
3590
  { name = "opencv-python", specifier = ">=4.12.0.88" },
3591
  { name = "python-dotenv" },
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4532
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4537
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4548
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4555
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4634
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4733
 
4734
  [[package]]
 
3513
  [[package]]
3514
  name = "reachy-mini"
3515
  version = "0.1.0"
3516
+ source = { git = "ssh://git@github.com/pollen-robotics/reachy_mini?rev=develop#2d1e16e4dd3084241c56dc826ccab84ddf58fda4" }
3517
  dependencies = [
3518
  { name = "aiohttp" },
3519
  { name = "asgiref" },
 
3543
  { name = "fastrtc" },
3544
  { name = "gradio" },
3545
  { name = "huggingface-hub" },
 
3546
  { name = "openai" },
3547
  { name = "opencv-python" },
3548
  { name = "python-dotenv" },
 
3554
  [package.optional-dependencies]
3555
  all-vision = [
3556
  { name = "mediapipe" },
3557
+ { name = "num2words" },
3558
  { name = "supervision" },
3559
  { name = "torch" },
3560
  { name = "transformers" },
3561
  { name = "ultralytics" },
3562
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3563
  local-vision = [
3564
+ { name = "num2words" },
3565
  { name = "torch" },
3566
  { name = "transformers" },
3567
  ]
 
3586
  { name = "gradio", specifier = ">=5.49.0" },
3587
  { name = "huggingface-hub", specifier = ">=0.34.4" },
3588
  { name = "mediapipe", marker = "extra == 'mediapipe-vision'", specifier = ">=0.10.14" },
3589
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3590
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3591
  { name = "opencv-python", specifier = ">=4.12.0.88" },
3592
  { name = "python-dotenv" },
 
4532
 
4533
  [[package]]
4534
  name = "ultralytics"
4535
+ version = "8.3.214"
4536
  source = { registry = "https://pypi.org/simple" }
4537
  dependencies = [
4538
  { name = "matplotlib" },
 
4548
  { name = "torchvision" },
4549
  { name = "ultralytics-thop" },
4550
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4556
  [[package]]
 
4634
 
4635
  [[package]]
4636
  name = "watchfiles"
4637
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4638
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4639
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4640
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4641
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4737
 
4738
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