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* New provider added(g4f/Provider/Websim.py) * New provider added(g4f/Provider/Dynaspark.py) * feat(g4f/gui/client/static/js/chat.v1.js): Enhance provider labeling for HuggingFace integrations * feat(g4f/gui/server/api.py): add Hugging Face Space compatibility flag to provider data * feat(g4f/models.py): add new providers and update model configurations * Update g4f/Provider/__init__.py * feat(g4f/Provider/AllenAI.py): expand model alias mappings for AllenAI provider * feat(g4f/Provider/Blackbox.py): restructure image model handling and response processing * feat(g4f/Provider/PollinationsAI.py): add new model aliases and streamline headers * Update g4f/Provider/hf_space/* * refactor(g4f/Provider/Copilot.py): update model alias mapping * chore(g4f/models.py): update provider configurations for OpenAI models * docs(docs/providers-and-models.md): update provider tables and model categorization * fix(etc/examples/vision_images.py): update model and simplify client configuration * fix(docs/providers-and-models.md): correct streaming status for GlhfChat provider * docs(docs/providers-and-models.md): update provider capabilities and model documentation * fix(models): update provider configurations for Mistral models * fix(g4f/Provider/Blackbox.py): correct model alias key for Mistral variant * feat(g4f/Provider/hf_space/CohereForAI_C4AI_Command.py): update supported model versions and aliases (close #2802) * fix(documentation): correct model names and provider counts (https://github.com/xtekky/gpt4free/pull/2805#issuecomment-2727489835) * fix(g4f/models.py): correct mistral model configurations * fix(g4f/Provider/DeepInfraChat.py): correct mixtral-small alias key * New provider added(g4f/Provider/LambdaChat.py) * feat(g4f/models.py): add new providers and enhance model configurations * docs(docs/providers-and-models.md): add LambdaChat provider and update model listings * feat(g4f/models.py): add new Liquid AI model and enhance providers * docs(docs/providers-and-models.md): update model listings and provider counts * feat(g4f/Provider/LambdaChat.py): add conditional reasoning processing based on model * fix(g4f/tools/run_tools.py): handle combined thinking tags in single chunk * New provider added(g4f/Provider/Goabror.py) * feat(g4f/Provider/Blackbox.py): implement dynamic session management and model access control * refactor(g4f/models.py): update provider configurations and model entries * docs(docs/providers-and-models.md): update model listings and provider counts --------- Co-authored-by: kqlio67 <>
33 lines
966 B
Python
33 lines
966 B
Python
import g4f
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import requests
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from g4f.client import Client
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client = Client()
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# Processing remote image
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remote_image = requests.get("https://raw.githubusercontent.com/xtekky/gpt4free/refs/heads/main/docs/images/cat.jpeg", stream=True).content
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response_remote = client.chat.completions.create(
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model=g4f.models.default_vision,
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messages=[
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{"role": "user", "content": "What are on this image?"}
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],
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image=remote_image
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)
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print("Response for remote image:")
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print(response_remote.choices[0].message.content)
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print("\n" + "-"*50 + "\n") # Separator
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# Processing local image
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local_image = open("docs/images/cat.jpeg", "rb")
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response_local = client.chat.completions.create(
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model=g4f.models.default_vision,
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messages=[
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{"role": "user", "content": "What are on this image?"}
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],
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image=local_image
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)
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print("Response for local image:")
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print(response_local.choices[0].message.content)
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local_image.close() # Close file after use
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