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-rw-r--r--g4f/Provider/HuggingChat.py44
1 files changed, 38 insertions, 6 deletions
diff --git a/g4f/Provider/HuggingChat.py b/g4f/Provider/HuggingChat.py
index 7ebbf570..d4a4b497 100644
--- a/g4f/Provider/HuggingChat.py
+++ b/g4f/Provider/HuggingChat.py
@@ -19,6 +19,7 @@ class HuggingChat(AbstractProvider, ProviderModelMixin):
'CohereForAI/c4ai-command-r-plus-08-2024',
'Qwen/Qwen2.5-72B-Instruct',
'nvidia/Llama-3.1-Nemotron-70B-Instruct-HF',
+ 'Qwen/Qwen2.5-Coder-32B-Instruct',
'meta-llama/Llama-3.2-11B-Vision-Instruct',
'NousResearch/Hermes-3-Llama-3.1-8B',
'mistralai/Mistral-Nemo-Instruct-2407',
@@ -30,6 +31,7 @@ class HuggingChat(AbstractProvider, ProviderModelMixin):
"command-r-plus": "CohereForAI/c4ai-command-r-plus-08-2024",
"qwen-2-72b": "Qwen/Qwen2.5-72B-Instruct",
"nemotron-70b": "nvidia/Llama-3.1-Nemotron-70B-Instruct-HF",
+ "qwen-2.5-coder-32b": "Qwen/Qwen2.5-Coder-32B-Instruct",
"llama-3.2-11b": "meta-llama/Llama-3.2-11B-Vision-Instruct",
"hermes-3": "NousResearch/Hermes-3-Llama-3.1-8B",
"mistral-nemo": "mistralai/Mistral-Nemo-Instruct-2407",
@@ -83,12 +85,33 @@ class HuggingChat(AbstractProvider, ProviderModelMixin):
raise RuntimeError(f"Request failed with status code: {response.status_code}, response: {response.text}")
conversationId = response.json().get('conversationId')
+
+ # Get the data response and parse it properly
response = session.get(f'https://huggingface.co/chat/conversation/{conversationId}/__data.json?x-sveltekit-invalidated=11')
+
+ # Split the response content by newlines and parse each line as JSON
+ try:
+ json_data = None
+ for line in response.text.split('\n'):
+ if line.strip():
+ try:
+ parsed = json.loads(line)
+ if isinstance(parsed, dict) and "nodes" in parsed:
+ json_data = parsed
+ break
+ except json.JSONDecodeError:
+ continue
+
+ if not json_data:
+ raise RuntimeError("Failed to parse response data")
+
+ data: list = json_data["nodes"][1]["data"]
+ keys: list[int] = data[data[0]["messages"]]
+ message_keys: dict = data[keys[0]]
+ messageId: str = data[message_keys["id"]]
- data: list = response.json()["nodes"][1]["data"]
- keys: list[int] = data[data[0]["messages"]]
- message_keys: dict = data[keys[0]]
- messageId: str = data[message_keys["id"]]
+ except (KeyError, IndexError, TypeError) as e:
+ raise RuntimeError(f"Failed to extract message ID: {str(e)}")
settings = {
"inputs": format_prompt(messages),
@@ -120,7 +143,8 @@ class HuggingChat(AbstractProvider, ProviderModelMixin):
'data': (None, json.dumps(settings, separators=(',', ':'))),
}
- response = requests.post(f'https://huggingface.co/chat/conversation/{conversationId}',
+ response = requests.post(
+ f'https://huggingface.co/chat/conversation/{conversationId}',
cookies=session.cookies,
headers=headers,
files=files,
@@ -142,10 +166,18 @@ class HuggingChat(AbstractProvider, ProviderModelMixin):
elif line["type"] == "stream":
token = line["token"].replace('\u0000', '')
full_response += token
+ if stream:
+ yield token
elif line["type"] == "finalAnswer":
break
full_response = full_response.replace('<|im_end|', '').replace('\u0000', '').strip()
- yield full_response
+ if not stream:
+ yield full_response
+
+ @classmethod
+ def supports_model(cls, model: str) -> bool:
+ """Check if the model is supported by the provider."""
+ return model in cls.models or model in cls.model_aliases