coding

app.py

@@ -1,56 +1,71 @@
-from app_huggingface import demo as demo_huggingface
+from app_lumaai import demo as demo_lumaai
+from app_claude import demo as demo_claude
+from app_cohere import demo as demo_cohere
+from app_fal import demo as demo_fal
+from app_fireworks import demo as demo_fireworks
+from app_meta import demo as demo_meta
+from app_perplexity import demo as demo_perplexity
+from app_playai import demo as demo_playai
+from app_replicate import demo as demo_replicate
+from app_sambanova import demo as demo_sambanova
+from app_together import demo as demo_together
+from app_xai import demo as demo_grok
+from app_qwen import demo as demo_qwen
+from app_crew import demo as demo_crew
+from app_hyperbolic import demo as demo_hyperbolic
+from app_gemini_coder import demo as demo_gemini_coder
+from app_gemini import demo as demo_gemini
+from app_hyperbolic_coder import demo as demo_hyperbolic_coder
+from app_smolagents import demo as demo_smolagents
+from app_groq import demo as demo_groq
+from app_groq_coder import demo as demo_groq_coder
+from app_openai_coder import demo as demo_openai_coder
+from app_langchain import demo as demo_langchain
+from app_mistral import demo as demo_mistral
+from app_minimax import demo as demo_minimax
+from app_minimax_coder import demo as demo_minimax_coder
+from app_nvidia import demo as demo_nvidia
+from app_deepseek import demo as demo_deepseek
 from utils import get_app
-import gradio as gr
 
-# Create mapping of providers to their code snippets
-PROVIDER_SNIPPETS = {
-"Hugging Face": """           
-import gradio as gr
-import ai_gradio
-gr.load(
-    name='huggingface:deepseek-ai/DeepSeek-R1',
-    src=ai_gradio.registry,
-    coder=True,
-    provider="together"
-).launch()""",
-}
 # Create mapping of providers to their demos
 PROVIDERS = {
-    "Hugging Face": demo_huggingface,
+    "Gemini Coder": demo_gemini_coder,
+    "Groq Coder": demo_groq_coder,
+    "DeepSeek Coder": demo_deepseek,
+    "Minimax Coder": demo_minimax_coder,
+    "NVIDIA": demo_nvidia,
+    "Minimax": demo_minimax,
+    "Mistral": demo_mistral,
+    "Langchain Agent": demo_langchain,
+    "OpenAI Coder": demo_openai_coder,
+    "Gemini": demo_gemini,
+    "Hyperbolic Coder": demo_hyperbolic_coder,
+    "SmolAgents": demo_smolagents,
+    "Qwen": demo_qwen,
+    "Hyperbolic": demo_hyperbolic,
+    "CrewAI": demo_crew,
+    "LumaAI": demo_lumaai,
+    "Grok": demo_grok,
+    "Cohere": demo_cohere,
+    "SambaNova": demo_sambanova,
+    "Fireworks": demo_fireworks,
+    "Together": demo_together,
+    "Groq": demo_groq,
+    "Meta Llama": demo_meta,
+    "Replicate": demo_replicate,
+    "Fal": demo_fal,
+    "PlayAI": demo_playai,
+    "Claude": demo_claude,
+    "Perplexity": demo_perplexity,
 }
 
-# Modified get_app implementation
-demo = gr.Blocks()
-with demo:
-    gr.Markdown("# Anychat")
-
-    provider_dropdown = gr.Dropdown(
-        choices=list(PROVIDERS.keys()),
-        value="Hugging Face",
-        label="Select code snippet"
-    )
-    code_display = gr.Code(
-        label="Provider Code Snippet",
-        language="python",
-        value=PROVIDER_SNIPPETS["Hugging Face"]
-    )
-    
-    def update_code(provider):
-        return PROVIDER_SNIPPETS.get(provider, "Code snippet not available")
-    
-   
-    provider_dropdown.change(
-        fn=update_code,
-        inputs=[provider_dropdown],
-        outputs=[code_display]
-    )
-    
-    selected_demo = get_app(
-        models=list(PROVIDERS.keys()),
-        default_model="Hugging Face",
-        src=PROVIDERS,
-        dropdown_label="Select Provider",
-    )
+demo = get_app(
+    models=list(PROVIDERS.keys()),
+    default_model="Gemini Coder",
+    src=PROVIDERS,
+    dropdown_label="Select Provider",
+)
 
 if __name__ == "__main__":
-    demo.queue(api_open=False).launch(show_api=False)
+    demo.queue(api_open=False).launch(show_api=False)

app_gemini_coder.py

@@ -11,7 +11,7 @@ GEMINI_MODELS_DISPLAY = [k.replace("gemini:", "") for k in GEMINI_MODELS_FULL]
 # Create and launch the interface using get_app utility
 demo = get_app(
     models=GEMINI_MODELS_FULL,  # Use the full names with prefix
-    default_model=GEMINI_MODELS_FULL[-2],
+    default_model=GEMINI_MODELS_FULL[-1],
     dropdown_label="Select Gemini Model",
     choices=GEMINI_MODELS_DISPLAY,  # Display names without prefix
     src=ai_gradio.registry,

app_huggingface.py

@@ -1,21 +1,67 @@
-import ai_gradio
+import gradio as gr
+from gradio_client import Client, handle_file
 
-from utils_ai_gradio import get_app
+MODELS = {"SmolVLM-Instruct": "akhaliq/SmolVLM-Instruct"}
 
-# Get the hyperbolic models but keep their full names for loading
-HUGGINGFACE_MODELS_FULL = [k for k in ai_gradio.registry.keys() if k.startswith("huggingface:")]
 
-# Create display names without the prefix
-HUGGINGFACE_MODELS_DISPLAY = [k.replace("huggingface:", "") for k in HUGGINGFACE_MODELS_FULL]
+def create_chat_fn(client):
+    def chat(message, history):
+        # Extract text and files from the message
+        text = message.get("text", "")
+        files = message.get("files", [])
 
+        # Handle file uploads if present
+        processed_files = [handle_file(f) for f in files]
 
-# Create and launch the interface using get_app utility
-demo = get_app(
-    models=HUGGINGFACE_MODELS_FULL,  # Use the full names with prefix
-    default_model=HUGGINGFACE_MODELS_FULL[0],
-    dropdown_label="Select Huggingface Model",
-    choices=HUGGINGFACE_MODELS_DISPLAY,  # Display names without prefix
-    fill_height=True,
-    coder=True,
-    provider="fireworks-ai"
-)
+        response = client.predict(
+            message={"text": text, "files": processed_files},
+            system_prompt="You are a helpful AI assistant.",
+            temperature=0.7,
+            max_new_tokens=1024,
+            top_k=40,
+            repetition_penalty=1.1,
+            top_p=0.95,
+            api_name="/chat",
+        )
+        return response
+
+    return chat
+
+
+def set_client_for_session(model_name, request: gr.Request):
+    headers = {}
+    if request and hasattr(request, "headers"):
+        x_ip_token = request.headers.get("x-ip-token")
+        if x_ip_token:
+            headers["X-IP-Token"] = x_ip_token
+
+    return Client(MODELS[model_name], headers=headers)
+
+
+def safe_chat_fn(message, history, client):
+    if client is None:
+        return "Error: Client not initialized. Please refresh the page."
+    try:
+        return create_chat_fn(client)(message, history)
+    except Exception as e:
+        print(f"Error during chat: {e!s}")
+        return f"Error during chat: {e!s}"
+
+
+with gr.Blocks() as demo:
+    client = gr.State()
+
+    model_dropdown = gr.Dropdown(
+        choices=list(MODELS.keys()), value="SmolVLM-Instruct", label="Select Model", interactive=True
+    )
+
+    chat_interface = gr.ChatInterface(fn=safe_chat_fn, additional_inputs=[client], multimodal=True)
+
+    # Update client when model changes
+    model_dropdown.change(fn=set_client_for_session, inputs=[model_dropdown], outputs=[client])
+
+    # Initialize client on page load
+    demo.load(fn=set_client_for_session, inputs=[gr.State("SmolVLM-Instruct")], outputs=[client])
+
+if __name__ == "__main__":
+    demo.launch()

app_hyperbolic.py

@@ -12,7 +12,7 @@ HYPERBOLIC_MODELS_DISPLAY = [k.replace("hyperbolic:", "") for k in HYPERBOLIC_MO
 # Create and launch the interface using get_app utility
 demo = get_app(
     models=HYPERBOLIC_MODELS_FULL,  # Use the full names with prefix
-    default_model=HYPERBOLIC_MODELS_FULL[-2],
+    default_model=HYPERBOLIC_MODELS_FULL[-1],
     dropdown_label="Select Hyperbolic Model",
     choices=HYPERBOLIC_MODELS_DISPLAY,  # Display names without prefix
     fill_height=True,

app_hyperbolic_coder.py

@@ -12,7 +12,7 @@ HYPERBOLIC_MODELS_DISPLAY = [k.replace("hyperbolic:", "") for k in HYPERBOLIC_MO
 # Create and launch the interface using get_app utility
 demo = get_app(
     models=HYPERBOLIC_MODELS_FULL,  # Use the full names with prefix
-    default_model=HYPERBOLIC_MODELS_FULL[-2],
+    default_model=HYPERBOLIC_MODELS_FULL[-1],
     dropdown_label="Select Hyperbolic Model",
     choices=HYPERBOLIC_MODELS_DISPLAY,  # Display names without prefix
     fill_height=True,

app_nvidia_coder.py

@@ -1,23 +0,0 @@
-import ai_gradio
-
-from utils_ai_gradio import get_app
-
-# Get the nvidia models but keep their full names for loading
-NVIDIA_MODELS_FULL = [k for k in ai_gradio.registry.keys() if k.startswith("nvidia:")]
-
-# Create display names without the prefix
-NVIDIA_MODELS_DISPLAY = [k.replace("nvidia:", "") for k in NVIDIA_MODELS_FULL]
-
-
-# Create and launch the interface using get_app utility
-demo = get_app(
-    models=NVIDIA_MODELS_FULL,  # Use the full names with prefix
-    default_model=NVIDIA_MODELS_FULL[-1],
-    dropdown_label="Select Nvidia Model",
-    choices=NVIDIA_MODELS_DISPLAY,  # Display names without prefix
-    fill_height=True,
-    coder=True
-)
-
-if __name__ == "__main__":
-    demo.launch()

app_openai_coder.py

@@ -11,7 +11,7 @@ OPENAI_MODELS_DISPLAY = [k.replace("openai:", "") for k in OPENAI_MODELS_FULL]
 # Create and launch the interface using get_app utility
 demo = get_app(
     models=OPENAI_MODELS_FULL,  # Use the full names with prefix
-    default_model=OPENAI_MODELS_FULL[-1],
+    default_model=OPENAI_MODELS_FULL[5],
     dropdown_label="Select OpenAI Model",
     choices=OPENAI_MODELS_DISPLAY,  # Display names without prefix
     fill_height=True,

app_openrouter.py

@@ -1,22 +0,0 @@
-import ai_gradio
-
-from utils_ai_gradio import get_app
-
-# Get the OpenAI models but keep their full names for loading
-OPENROUTER_MODELS_FULL = [k for k in ai_gradio.registry.keys() if k.startswith("openrouter:")]
-
-# Create display names without the prefix
-OPENROUTER_MODELS_DISPLAY = [k.replace("openrouter:", "") for k in OPENROUTER_MODELS_FULL]
-
-# Create and launch the interface using get_app utility
-demo = get_app(
-    models=OPENROUTER_MODELS_FULL,  # Use the full names with prefix
-    default_model=OPENROUTER_MODELS_FULL[-1],
-    dropdown_label="Select OpenRouter Model",
-    choices=OPENROUTER_MODELS_DISPLAY,  # Display names without prefix
-    fill_height=True,
-    coder=True,
-)
-
-if __name__ == "__main__":
-    demo.launch()

app_qwen.py

@@ -1,19 +1,27 @@
-import ai_gradio
+import os
 
-from utils_ai_gradio import get_app
+import dashscope_gradio
 
-# Get the qwen models but keep their full names for loading
-QWEN_MODELS_FULL = [k for k in ai_gradio.registry.keys() if k.startswith("qwen:")]
+from utils import get_app
 
-# Create display names without the prefix
-QWEN_MODELS_DISPLAY = [k.replace("qwen:", "") for k in QWEN_MODELS_FULL]
-
-
-# Create and launch the interface using get_app utility
 demo = get_app(
-    models=QWEN_MODELS_FULL,  # Use the full names with prefix
-    default_model=QWEN_MODELS_FULL[-1],
-    dropdown_label="Select Qwen Model",
-    choices=QWEN_MODELS_DISPLAY,  # Display names without prefix
-    fill_height=True,
+    models=[
+        "qwen-turbo-latest",
+        "qwen-turbo",
+        "qwen-plus",
+        "qwen-max",
+        "qwen1.5-110b-chat",
+        "qwen1.5-72b-chat",
+        "qwen1.5-32b-chat",
+        "qwen1.5-14b-chat",
+        "qwen1.5-7b-chat",
+        "qwq-32b-preview",
+        "qvq-72b-preview",
+    ],
+    default_model="qvq-72b-preview",
+    src=dashscope_gradio.registry,
+    accept_token=not os.getenv("DASHSCOPE_API_KEY"),
 )
+
+if __name__ == "__main__":
+    demo.launch()

app_qwen_coder.py

@@ -1,20 +0,0 @@
-import ai_gradio
-
-from utils_ai_gradio import get_app
-
-# Get the qwen models but keep their full names for loading
-QWEN_MODELS_FULL = [k for k in ai_gradio.registry.keys() if k.startswith("qwen:")]
-
-# Create display names without the prefix
-QWEN_MODELS_DISPLAY = [k.replace("qwen:", "") for k in QWEN_MODELS_FULL]
-
-
-# Create and launch the interface using get_app utility
-demo = get_app(
-    models=QWEN_MODELS_FULL,  # Use the full names with prefix
-    default_model=QWEN_MODELS_FULL[-1],
-    dropdown_label="Select Qwen Model",
-    choices=QWEN_MODELS_DISPLAY,  # Display names without prefix
-    fill_height=True,
-    coder=True,
-)

app_sambanova.py

@@ -1,19 +1,28 @@
-import ai_gradio
+import os
 
-from utils_ai_gradio import get_app
+import sambanova_gradio
 
-# Get the hyperbolic models but keep their full names for loading
-SAMBANOVA_MODELS_FULL = [k for k in ai_gradio.registry.keys() if k.startswith("sambanova:")]
+from utils import get_app
 
-# Create display names without the prefix
-SAMBANOVA_MODELS_DISPLAY = [k.replace("sambanova:", "") for k in SAMBANOVA_MODELS_FULL]
-
-
-# Create and launch the interface using get_app utility
 demo = get_app(
-    models=SAMBANOVA_MODELS_FULL,  # Use the full names with prefix
-    default_model=SAMBANOVA_MODELS_FULL[-1],
-    dropdown_label="Select Sambanova Model",
-    choices=SAMBANOVA_MODELS_DISPLAY,  # Display names without prefix
-    fill_height=True,
-)
+    models=[
+        "Meta-Llama-3.2-1B-Instruct",
+        "Meta-Llama-3.2-3B-Instruct",
+        "Llama-3.2-11B-Vision-Instruct",
+        "Llama-3.2-90B-Vision-Instruct",
+        "Meta-Llama-3.1-8B-Instruct",
+        "Meta-Llama-3.1-70B-Instruct",
+        "Meta-Llama-3.1-405B-Instruct",
+        "Qwen2.5-72B-Instruct",
+        "Qwen2.5-Coder-32B-Instruct",
+        "Meta-Llama-3.3-70B-Instruct",
+        "QwQ-32B-Preview",
+    ],
+    default_model="QwQ-32B-Preview",
+    src=sambanova_gradio.registry,
+    accept_token=not os.getenv("SAMBANOVA_API_KEY"),
+    multimodal=True,
+)
+
+if __name__ == "__main__":
+    demo.launch()

app_sambanova_coder.py

@@ -1,20 +0,0 @@
-import ai_gradio
-
-from utils_ai_gradio import get_app
-
-# Get the hyperbolic models but keep their full names for loading
-SAMBANOVA_MODELS_FULL = [k for k in ai_gradio.registry.keys() if k.startswith("sambanova:")]
-
-# Create display names without the prefix
-SAMBANOVA_MODELS_DISPLAY = [k.replace("sambanova:", "") for k in SAMBANOVA_MODELS_FULL]
-
-
-# Create and launch the interface using get_app utility
-demo = get_app(
-    models=SAMBANOVA_MODELS_FULL,  # Use the full names with prefix
-    default_model=SAMBANOVA_MODELS_FULL[-1],
-    dropdown_label="Select Sambanova Model",
-    choices=SAMBANOVA_MODELS_DISPLAY,  # Display names without prefix
-    fill_height=True,
-    coder=True,
-)

pyproject.toml

@@ -5,11 +5,54 @@ description = ""
 readme = "README.md"
 requires-python = ">=3.10"
 dependencies = [
-    "ai-gradio[huggingface]==0.2.54",
+    "anthropic-gradio",
+    "cerebras-gradio",
+    "dashscope-gradio",
+    "fal-gradio",
+    "fireworks-gradio",
+    "gemini-gradio>=0.0.3",
+    "gradio-webrtc>=0.0.28",
+    "gradio>=5.12.0",
+    "groq-gradio>=0.0.2",
+    "hyperbolic-gradio>=0.0.5",
+    "mistral-gradio",
+    "nvidia-gradio",
+    "openai-gradio>=0.0.6",
+    "perplexity-gradio>=0.0.1",
+    "python-dotenv>=1.0.1",
+    "replicate-gradio",
+    "sambanova-gradio>=0.1.9",
+    "together-gradio>=0.0.1",
+    "websockets>=14.1",
+    "xai-gradio>=0.0.2",
+    "numba>=0.60.0",
+    "llvmlite>=0.43.0",
+    "librosa>=0.10.2.post1",
+    "twilio>=9.4.2",
+    "playai-gradio",
+    "lumaai-gradio",
+    "cohere-gradio",
+    "crewai>=0.95.0",
+    "instructor>=1.7.2",
+    "crewai-tools>=0.25.8",
+    "langchain>=0.3.14",
+    "chromadb>=0.5.23",
+    "openai>=1.55.0",
+    "ai-gradio[crewai,deepseek,gemini,groq,hyperbolic,openai,smolagents,transformers, langchain, mistral,minimax,nvidia]>=0.2.28",
 ]
 
 [tool.uv.sources]
-
+anthropic-gradio = { git = "https://github.com/AK391/anthropic-gradio.git" }
+fireworks-gradio = { git = "https://github.com/AK391/fireworks-ai-gradio.git" }
+cerebras-gradio = { git = "https://github.com/gradio-app/cerebras_gradio.git" }
+nvidia-gradio = { git = "https://github.com/AK391/nvidia-gradio.git" }
+dashscope-gradio = { git = "https://github.com/AK391/dashscope-gradio.git" }
+fal-gradio = { git = "https://github.com/AK391/fal-gradio.git" }
+replicate-gradio = { git = "https://github.com/AK391/replicate-gradio.git" }
+mistral-gradio = { git = "https://github.com/AK391/mistral-gradio.git" }
+playai-gradio = { git = "https://github.com/AK391/playai-gradio.git" }
+lumaai-gradio = { git = "https://github.com/AK391/lumaai-gradio.git" }
+cohere-gradio = { git = "https://github.com/AK391/cohere-gradio.git" }
 
 [tool.ruff]
 line-length = 119

requirements.txt

@@ -1,332 +1,1289 @@
 # This file was autogenerated by uv via the following command:
 #    uv pip compile pyproject.toml -o requirements.txt
-accelerate==1.5.2
+accelerate==1.2.1
     # via ai-gradio
-ai-gradio==0.2.54
+ai-gradio==0.2.28
     # via anychat (pyproject.toml)
 aiofiles==23.2.1
     # via gradio
-aiohappyeyeballs==2.6.1
+aiohappyeyeballs==2.4.4
     # via aiohttp
-aiohttp==3.11.14
+aiohttp==3.11.11
     # via
     #   aiohttp-retry
+    #   auth0-python
+    #   instructor
+    #   langchain
+    #   langchain-community
+    #   litellm
+    #   scrapegraph-py
+    #   spider-client
     #   twilio
-aiohttp-retry==2.9.1
+aiohttp-retry==2.8.3
     # via twilio
 aioice==0.9.0
     # via aiortc
-aiortc==1.10.1
+aiortc==1.9.0
     # via gradio-webrtc
 aiosignal==1.3.2
     # via aiohttp
+alembic==1.14.0
+    # via embedchain
 annotated-types==0.7.0
     # via pydantic
-anyio==4.9.0
+anthropic==0.42.0
+    # via anthropic-gradio
+anthropic-gradio @ git+https://github.com/AK391/anthropic-gradio.git@34e5622031487ea207073177b4ec1f3067936295
+    # via anychat (pyproject.toml)
+anyio==4.8.0
     # via
+    #   anthropic
+    #   cerebras-cloud-sdk
     #   gradio
+    #   groq
     #   httpx
+    #   httpx-ws
+    #   lumaai
+    #   openai
     #   starlette
-async-timeout==5.0.1
-    # via aiohttp
-attrs==25.3.0
-    # via aiohttp
+    #   watchfiles
+appdirs==1.4.4
+    # via crewai
+asgiref==3.8.1
+    # via opentelemetry-instrumentation-asgi
+asttokens==3.0.0
+    # via stack-data
+async-timeout==4.0.3
+    # via
+    #   aiohttp
+    #   langchain
+attrs==24.3.0
+    # via
+    #   aiohttp
+    #   e2b
+    #   e2b-code-interpreter
+    #   jsonschema
+    #   outcome
+    #   referencing
+    #   trio
 audioread==3.0.1
     # via librosa
-av==13.1.0
+auth0-python==4.7.2
+    # via crewai
+authlib==1.3.1
+    # via weaviate-client
+av==12.3.0
     # via aiortc
+backoff==2.2.1
+    # via posthog
+bcrypt==4.2.1
+    # via chromadb
+beautifulsoup4==4.12.3
+    # via
+    #   crewai-tools
+    #   embedchain
+    #   markdownify
+    #   scrapegraph-py
 bitsandbytes==0.42.0
     # via ai-gradio
-certifi==2025.1.31
+blinker==1.9.0
+    # via crewai
+build==1.2.2.post1
+    # via chromadb
+cachetools==5.5.0
+    # via
+    #   google-auth
+    #   gptcache
+cerebras-cloud-sdk==1.16.0
+    # via cerebras-gradio
+cerebras-gradio @ git+https://github.com/gradio-app/cerebras_gradio.git@0135ea37048281ca4fae2d6a90311be3b38954ae
+    # via anychat (pyproject.toml)
+certifi==2024.12.14
     # via
     #   httpcore
     #   httpx
+    #   kubernetes
     #   requests
+    #   selenium
 cffi==1.17.1
     # via
     #   aiortc
     #   cryptography
     #   pylibsrtp
+    #   pyvips
+    #   pyvips-binary
     #   soundfile
 charset-normalizer==3.4.1
-    # via requests
+    # via
+    #   pdfminer-six
+    #   requests
+chroma-hnswlib==0.7.6
+    # via chromadb
+chromadb==0.5.23
+    # via
+    #   anychat (pyproject.toml)
+    #   crewai
+    #   crewai-tools
+    #   embedchain
 click==8.1.8
     # via
+    #   crewai
+    #   duckduckgo-search
+    #   litellm
     #   typer
     #   uvicorn
+cohere==5.13.6
+    # via
+    #   cohere-gradio
+    #   embedchain
+    #   langchain-cohere
+cohere-gradio @ git+https://github.com/AK391/cohere-gradio.git@f514496532579574b9bdd55c07e2eb14f2ddf1b0
+    # via anychat (pyproject.toml)
 coloredlogs==15.0.1
     # via onnxruntime
-cryptography==44.0.2
+crewai==0.95.0
+    # via
+    #   anychat (pyproject.toml)
+    #   ai-gradio
+    #   crewai-tools
+crewai-tools==0.25.8
+    # via
+    #   anychat (pyproject.toml)
+    #   ai-gradio
+cryptography==43.0.3
     # via
     #   aiortc
+    #   auth0-python
+    #   authlib
+    #   pdfminer-six
     #   pyopenssl
-decorator==5.2.1
-    # via librosa
+dashscope-gradio @ git+https://github.com/AK391/dashscope-gradio.git@afe2a389fd194e71ca4c12e6162f3f0fd3cf534a
+    # via anychat (pyproject.toml)
+dataclasses-json==0.6.7
+    # via langchain-community
+decorator==5.1.1
+    # via
+    #   ipython
+    #   librosa
+deprecated==1.2.15
+    # via
+    #   opentelemetry-api
+    #   opentelemetry-exporter-otlp-proto-grpc
+    #   opentelemetry-exporter-otlp-proto-http
+    #   opentelemetry-semantic-conventions
+deprecation==2.1.0
+    # via lancedb
+distro==1.9.0
+    # via
+    #   anthropic
+    #   cerebras-cloud-sdk
+    #   groq
+    #   lumaai
+    #   openai
 dnspython==2.7.0
     # via aioice
+docker==7.1.0
+    # via crewai-tools
+docstring-parser==0.16
+    # via
+    #   google-cloud-aiplatform
+    #   instructor
+docx2txt==0.8
+    # via crewai-tools
+duckduckgo-search==7.2.1
+    # via smolagents
+durationpy==0.9
+    # via kubernetes
+e2b==1.0.5
+    # via e2b-code-interpreter
+e2b-code-interpreter==1.0.3
+    # via smolagents
+einops==0.8.0
+    # via ai-gradio
+embedchain==0.1.126
+    # via crewai-tools
+et-xmlfile==2.0.0
+    # via openpyxl
+eval-type-backport==0.2.2
+    # via mistralai
 exceptiongroup==1.2.2
-    # via anyio
-fastapi==0.115.12
-    # via gradio
+    # via
+    #   anyio
+    #   ipython
+    #   pytest
+    #   trio
+    #   trio-websocket
+executing==2.1.0
+    # via stack-data
+fal-client==0.5.6
+    # via fal-gradio
+fal-gradio @ git+https://github.com/AK391/fal-gradio.git@f4d47158564df06ebb4dc8782dad676c4c539e47
+    # via anychat (pyproject.toml)
+fastapi==0.115.6
+    # via
+    #   chromadb
+    #   gradio
+fastavro==1.10.0
+    # via cohere
 ffmpy==0.5.0
     # via gradio
-filelock==3.18.0
+filelock==3.16.1
     # via
     #   huggingface-hub
     #   torch
-flatbuffers==25.2.10
+    #   transformers
+fireworks-ai==0.15.11
+    # via fireworks-gradio
+fireworks-gradio @ git+https://github.com/AK391/fireworks-ai-gradio.git@5805959ebe511052c417569f056139b4de350a57
+    # via anychat (pyproject.toml)
+flatbuffers==24.12.23
     # via onnxruntime
 frozenlist==1.5.0
     # via
     #   aiohttp
     #   aiosignal
-fsspec==2025.3.0
+fsspec==2024.12.0
     # via
     #   gradio-client
     #   huggingface-hub
     #   torch
-google-crc32c==1.7.0
-    # via aiortc
-gradio==5.23.0
+gemini-gradio==0.0.3
+    # via anychat (pyproject.toml)
+google-ai-generativelanguage==0.6.10
+    # via google-generativeai
+google-api-core==2.24.0
+    # via
+    #   google-ai-generativelanguage
+    #   google-api-python-client
+    #   google-cloud-aiplatform
+    #   google-cloud-bigquery
+    #   google-cloud-core
+    #   google-cloud-resource-manager
+    #   google-cloud-storage
+    #   google-generativeai
+google-api-python-client==2.158.0
+    # via google-generativeai
+google-auth==2.37.0
+    # via
+    #   google-ai-generativelanguage
+    #   google-api-core
+    #   google-api-python-client
+    #   google-auth-httplib2
+    #   google-cloud-aiplatform
+    #   google-cloud-bigquery
+    #   google-cloud-core
+    #   google-cloud-resource-manager
+    #   google-cloud-storage
+    #   google-genai
+    #   google-generativeai
+    #   kubernetes
+google-auth-httplib2==0.2.0
+    # via google-api-python-client
+google-cloud-aiplatform==1.76.0
+    # via embedchain
+google-cloud-bigquery==3.27.0
+    # via google-cloud-aiplatform
+google-cloud-core==2.4.1
+    # via
+    #   google-cloud-bigquery
+    #   google-cloud-storage
+google-cloud-resource-manager==1.14.0
+    # via google-cloud-aiplatform
+google-cloud-storage==2.19.0
+    # via google-cloud-aiplatform
+google-crc32c==1.6.0
+    # via
+    #   aiortc
+    #   google-cloud-storage
+    #   google-resumable-media
+google-genai==0.3.0
+    # via ai-gradio
+google-generativeai==0.8.3
+    # via
+    #   ai-gradio
+    #   gemini-gradio
+google-resumable-media==2.7.2
+    # via
+    #   google-cloud-bigquery
+    #   google-cloud-storage
+googleapis-common-protos==1.66.0
+    # via
+    #   google-api-core
+    #   grpc-google-iam-v1
+    #   grpcio-status
+    #   opentelemetry-exporter-otlp-proto-grpc
+    #   opentelemetry-exporter-otlp-proto-http
+gptcache==0.1.44
+    # via embedchain
+gradio==5.12.0
     # via
+    #   anychat (pyproject.toml)
     #   ai-gradio
+    #   anthropic-gradio
+    #   cerebras-gradio
+    #   cohere-gradio
+    #   dashscope-gradio
+    #   fal-gradio
+    #   fireworks-gradio
+    #   gemini-gradio
     #   gradio-webrtc
+    #   groq-gradio
+    #   hyperbolic-gradio
+    #   lumaai-gradio
+    #   mistral-gradio
     #   modelscope-studio
-gradio-client==1.8.0
-    # via gradio
-gradio-webrtc==0.0.31
-    # via ai-gradio
-groovy==0.1.2
+    #   nvidia-gradio
+    #   openai-gradio
+    #   perplexity-gradio
+    #   playai-gradio
+    #   replicate-gradio
+    #   sambanova-gradio
+    #   smolagents
+    #   together-gradio
+    #   xai-gradio
+gradio-client==1.5.4
     # via gradio
+gradio-webrtc==0.0.28
+    # via
+    #   anychat (pyproject.toml)
+    #   ai-gradio
+    #   gemini-gradio
+    #   openai-gradio
+groq==0.15.0
+    # via groq-gradio
+groq-gradio==0.0.2
+    # via anychat (pyproject.toml)
+grpc-google-iam-v1==0.14.0
+    # via google-cloud-resource-manager
+grpcio==1.69.0
+    # via
+    #   chromadb
+    #   google-api-core
+    #   googleapis-common-protos
+    #   grpc-google-iam-v1
+    #   grpcio-health-checking
+    #   grpcio-status
+    #   grpcio-tools
+    #   opentelemetry-exporter-otlp-proto-grpc
+    #   qdrant-client
+    #   weaviate-client
+grpcio-health-checking==1.69.0
+    # via weaviate-client
+grpcio-status==1.69.0
+    # via google-api-core
+grpcio-tools==1.69.0
+    # via
+    #   qdrant-client
+    #   weaviate-client
 h11==0.14.0
     # via
     #   httpcore
     #   uvicorn
-httpcore==1.0.7
+    #   wsproto
+h2==4.1.0
     # via httpx
-httpx==0.28.1
+hpack==4.0.0
+    # via h2
+httpcore==1.0.7
+    # via
+    #   e2b
+    #   httpx
+    #   httpx-ws
+httplib2==0.22.0
+    # via
+    #   google-api-python-client
+    #   google-auth-httplib2
+httptools==0.6.4
+    # via uvicorn
+httpx==0.27.2
     # via
+    #   anthropic
+    #   cerebras-cloud-sdk
+    #   chromadb
+    #   cohere
+    #   e2b
+    #   e2b-code-interpreter
+    #   fal-client
+    #   fireworks-ai
     #   gradio
     #   gradio-client
+    #   groq
+    #   httpx-ws
+    #   langsmith
+    #   linkup-sdk
+    #   litellm
+    #   lumaai
+    #   mistralai
+    #   openai
+    #   qdrant-client
+    #   replicate
     #   safehttpx
-huggingface-hub==0.29.3
+    #   tavily-python
+    #   weaviate-client
+httpx-sse==0.4.0
+    # via
+    #   cohere
+    #   fal-client
+    #   fireworks-ai
+    #   langchain-community
+httpx-ws==0.7.1
+    # via fireworks-ai
+huggingface-hub==0.27.1
     # via
     #   accelerate
-    #   ai-gradio
     #   gradio
     #   gradio-client
+    #   tokenizers
+    #   transformers
 humanfriendly==10.0
     # via coloredlogs
+hyperbolic-gradio==0.0.5
+    # via anychat (pyproject.toml)
+hyperframe==6.0.1
+    # via h2
 idna==3.10
     # via
     #   anyio
     #   httpx
     #   requests
+    #   trio
     #   yarl
 ifaddr==0.2.0
     # via aioice
-jinja2==3.1.6
+ijson==3.3.0
+    # via spider-client
+importlib-metadata==8.5.0
+    # via
+    #   litellm
+    #   opentelemetry-api
+importlib-resources==6.5.2
+    # via chromadb
+iniconfig==2.0.0
+    # via pytest
+instructor==1.7.2
+    # via
+    #   anychat (pyproject.toml)
+    #   crewai
+ipython==8.31.0
+    # via pyvis
+jedi==0.19.2
+    # via ipython
+jinja2==3.1.5
     # via
     #   gradio
+    #   instructor
+    #   litellm
+    #   pyvis
+    #   smolagents
     #   torch
+jiter==0.8.2
+    # via
+    #   anthropic
+    #   instructor
+    #   openai
 joblib==1.4.2
     # via
     #   librosa
     #   scikit-learn
+json-repair==0.35.0
+    # via crewai
+jsonpatch==1.33
+    # via langchain-core
+jsonpath-python==1.0.6
+    # via mistralai
+jsonpickle==4.0.1
+    # via pyvis
+jsonpointer==3.0.0
+    # via jsonpatch
+jsonref==1.1.0
+    # via crewai
+jsonschema==4.23.0
+    # via litellm
+jsonschema-specifications==2024.10.1
+    # via jsonschema
+kubernetes==31.0.0
+    # via chromadb
+lancedb==0.17.0
+    # via crewai-tools
+langchain==0.3.14
+    # via
+    #   anychat (pyproject.toml)
+    #   ai-gradio
+    #   embedchain
+    #   langchain-community
+langchain-cohere==0.3.4
+    # via embedchain
+langchain-community==0.3.14
+    # via
+    #   ai-gradio
+    #   embedchain
+    #   langchain-experimental
+langchain-core==0.3.29
+    # via
+    #   ai-gradio
+    #   langchain
+    #   langchain-cohere
+    #   langchain-community
+    #   langchain-experimental
+    #   langchain-openai
+    #   langchain-text-splitters
+langchain-experimental==0.3.4
+    # via langchain-cohere
+langchain-openai==0.2.14
+    # via
+    #   ai-gradio
+    #   embedchain
+langchain-text-splitters==0.3.5
+    # via langchain
+langsmith==0.1.147
+    # via
+    #   embedchain
+    #   langchain
+    #   langchain-community
+    #   langchain-core
 lazy-loader==0.4
     # via librosa
-librosa==0.11.0
+librosa==0.10.2.post1
     # via
+    #   anychat (pyproject.toml)
     #   ai-gradio
     #   gradio-webrtc
+linkup-sdk==0.2.2
+    # via crewai-tools
+litellm==1.57.7
+    # via crewai
 llvmlite==0.43.0
-    # via numba
+    # via
+    #   anychat (pyproject.toml)
+    #   numba
+lumaai==1.2.2
+    # via lumaai-gradio
+lumaai-gradio @ git+https://github.com/AK391/lumaai-gradio.git@b7856b8e7f1977e3f003a4e101b12eae2c232227
+    # via anychat (pyproject.toml)
+lxml==5.3.0
+    # via duckduckgo-search
+mako==1.3.8
+    # via alembic
 markdown-it-py==3.0.0
     # via rich
-markupsafe==3.0.2
+markdownify==0.14.1
+    # via smolagents
+markupsafe==2.1.5
     # via
     #   gradio
     #   jinja2
+    #   mako
+marshmallow==3.25.0
+    # via dataclasses-json
+matplotlib-inline==0.1.7
+    # via ipython
 mdurl==0.1.2
     # via markdown-it-py
-modelscope-studio==1.2.1
+mem0ai==0.1.41
+    # via embedchain
+mistral-gradio @ git+https://github.com/AK391/mistral-gradio.git@dfef7dc871ea35100743a415fde8a57a30c49fcb
+    # via anychat (pyproject.toml)
+mistralai==1.2.6
+    # via
+    #   ai-gradio
+    #   mistral-gradio
+mmh3==5.0.1
+    # via chromadb
+modelscope-studio==1.0.2
     # via ai-gradio
+monotonic==1.6
+    # via posthog
 mpmath==1.3.0
     # via sympy
 msgpack==1.1.0
     # via librosa
-multidict==6.2.0
+multidict==6.1.0
     # via
     #   aiohttp
     #   yarl
+mypy-extensions==1.0.0
+    # via typing-inspect
 networkx==3.4.2
-    # via torch
+    # via
+    #   pyvis
+    #   torch
+nodeenv==1.9.1
+    # via pyright
 numba==0.60.0
     # via
+    #   anychat (pyproject.toml)
     #   ai-gradio
     #   librosa
-numpy==2.0.2
+    #   openai-gradio
+numpy==1.26.4
     # via
     #   accelerate
     #   ai-gradio
+    #   chroma-hnswlib
+    #   chromadb
+    #   gemini-gradio
+    #   gptcache
     #   gradio
+    #   langchain
+    #   langchain-community
     #   librosa
     #   numba
     #   onnxruntime
+    #   openai-gradio
     #   opencv-python
     #   pandas
+    #   pylance
+    #   qdrant-client
     #   scikit-learn
     #   scipy
+    #   shapely
     #   soundfile
     #   soxr
-onnxruntime==1.21.0
-    # via gradio-webrtc
-opencv-python==4.11.0.86
+    #   torchvision
+    #   transformers
+nvidia-gradio @ git+https://github.com/AK391/nvidia-gradio.git@735cc0ba06afb44eeef789d8c0c35b1fc61fee16
+    # via anychat (pyproject.toml)
+oauthlib==3.2.2
+    # via
+    #   kubernetes
+    #   requests-oauthlib
+onnxruntime==1.20.1
+    # via
+    #   chromadb
+    #   gradio-webrtc
+openai==1.59.6
+    # via
+    #   anychat (pyproject.toml)
+    #   ai-gradio
+    #   crewai
+    #   crewai-tools
+    #   dashscope-gradio
+    #   embedchain
+    #   fireworks-gradio
+    #   hyperbolic-gradio
+    #   instructor
+    #   langchain-openai
+    #   litellm
+    #   mem0ai
+    #   nvidia-gradio
+    #   openai-gradio
+    #   perplexity-gradio
+    #   sambanova-gradio
+    #   smolagents
+    #   together-gradio
+    #   xai-gradio
+openai-gradio==0.0.6
+    # via anychat (pyproject.toml)
+opencv-python==4.10.0.84
     # via ai-gradio
-orjson==3.10.16
-    # via gradio
+openpyxl==3.1.5
+    # via crewai
+opentelemetry-api==1.29.0
+    # via
+    #   chromadb
+    #   crewai
+    #   opentelemetry-exporter-otlp-proto-grpc
+    #   opentelemetry-exporter-otlp-proto-http
+    #   opentelemetry-instrumentation
+    #   opentelemetry-instrumentation-asgi
+    #   opentelemetry-instrumentation-fastapi
+    #   opentelemetry-sdk
+    #   opentelemetry-semantic-conventions
+opentelemetry-exporter-otlp-proto-common==1.29.0
+    # via
+    #   opentelemetry-exporter-otlp-proto-grpc
+    #   opentelemetry-exporter-otlp-proto-http
+opentelemetry-exporter-otlp-proto-grpc==1.29.0
+    # via chromadb
+opentelemetry-exporter-otlp-proto-http==1.29.0
+    # via crewai
+opentelemetry-instrumentation==0.50b0
+    # via
+    #   opentelemetry-instrumentation-asgi
+    #   opentelemetry-instrumentation-fastapi
+opentelemetry-instrumentation-asgi==0.50b0
+    # via opentelemetry-instrumentation-fastapi
+opentelemetry-instrumentation-fastapi==0.50b0
+    # via chromadb
+opentelemetry-proto==1.29.0
+    # via
+    #   opentelemetry-exporter-otlp-proto-common
+    #   opentelemetry-exporter-otlp-proto-grpc
+    #   opentelemetry-exporter-otlp-proto-http
+opentelemetry-sdk==1.29.0
+    # via
+    #   chromadb
+    #   crewai
+    #   opentelemetry-exporter-otlp-proto-grpc
+    #   opentelemetry-exporter-otlp-proto-http
+opentelemetry-semantic-conventions==0.50b0
+    # via
+    #   opentelemetry-instrumentation
+    #   opentelemetry-instrumentation-asgi
+    #   opentelemetry-instrumentation-fastapi
+    #   opentelemetry-sdk
+opentelemetry-util-http==0.50b0
+    # via
+    #   opentelemetry-instrumentation-asgi
+    #   opentelemetry-instrumentation-fastapi
+orjson==3.10.14
+    # via
+    #   chromadb
+    #   gradio
+    #   langsmith
+outcome==1.3.0.post0
+    # via trio
+overrides==7.7.0
+    # via
+    #   chromadb
+    #   lancedb
 packaging==24.2
     # via
     #   accelerate
+    #   build
+    #   deprecation
+    #   e2b
+    #   google-cloud-aiplatform
+    #   google-cloud-bigquery
     #   gradio
     #   gradio-client
     #   huggingface-hub
+    #   lancedb
+    #   langchain-core
     #   lazy-loader
+    #   marshmallow
     #   onnxruntime
+    #   opentelemetry-instrumentation
     #   pooch
+    #   pytest
+    #   replicate
+    #   transformers
 pandas==2.2.3
-    # via gradio
+    # via
+    #   gradio
+    #   langchain-cohere
+    #   smolagents
+parameterized==0.9.0
+    # via cohere
+parso==0.8.4
+    # via jedi
+pdfminer-six==20231228
+    # via pdfplumber
+pdfplumber==0.11.5
+    # via crewai
+perplexity-gradio==0.0.1
+    # via anychat (pyproject.toml)
+pexpect==4.9.0
+    # via ipython
 pillow==11.1.0
     # via
     #   ai-gradio
+    #   fireworks-ai
+    #   google-genai
     #   gradio
-platformdirs==4.3.7
+    #   pdfplumber
+    #   smolagents
+    #   torchvision
+pkgconfig==1.5.5
+    # via pyvips
+platformdirs==4.3.6
     # via pooch
+playai-gradio @ git+https://github.com/AK391/playai-gradio.git@0958ca289652e231fd12ebbf0f40895a049b0ad1
+    # via anychat (pyproject.toml)
+pluggy==1.5.0
+    # via pytest
 pooch==1.8.2
     # via librosa
-propcache==0.3.0
+portalocker==2.10.1
+    # via qdrant-client
+posthog==3.7.5
+    # via
+    #   chromadb
+    #   embedchain
+    #   mem0ai
+primp==0.10.0
+    # via duckduckgo-search
+prompt-toolkit==3.0.48
+    # via ipython
+propcache==0.2.1
     # via
     #   aiohttp
     #   yarl
-protobuf==6.30.1
-    # via onnxruntime
-psutil==7.0.0
+proto-plus==1.25.0
+    # via
+    #   google-ai-generativelanguage
+    #   google-api-core
+    #   google-cloud-aiplatform
+    #   google-cloud-resource-manager
+protobuf==5.29.3
+    # via
+    #   e2b
+    #   google-ai-generativelanguage
+    #   google-api-core
+    #   google-cloud-aiplatform
+    #   google-cloud-resource-manager
+    #   google-generativeai
+    #   googleapis-common-protos
+    #   grpc-google-iam-v1
+    #   grpcio-health-checking
+    #   grpcio-status
+    #   grpcio-tools
+    #   onnxruntime
+    #   opentelemetry-proto
+    #   proto-plus
+psutil==6.1.1
     # via accelerate
+ptyprocess==0.7.0
+    # via pexpect
+pure-eval==0.2.3
+    # via stack-data
+pyarrow==18.1.0
+    # via pylance
+pyasn1==0.6.1
+    # via
+    #   pyasn1-modules
+    #   rsa
+pyasn1-modules==0.4.1
+    # via google-auth
 pycparser==2.22
     # via cffi
-pydantic==2.10.6
+pydantic==2.10.5
     # via
+    #   anthropic
+    #   cerebras-cloud-sdk
+    #   chromadb
+    #   cohere
+    #   crewai
+    #   crewai-tools
     #   fastapi
+    #   fireworks-ai
+    #   google-cloud-aiplatform
+    #   google-genai
+    #   google-generativeai
     #   gradio
+    #   groq
+    #   instructor
+    #   lancedb
+    #   langchain
+    #   langchain-cohere
+    #   langchain-core
+    #   langsmith
+    #   linkup-sdk
+    #   litellm
+    #   lumaai
+    #   mem0ai
+    #   mistralai
+    #   openai
+    #   pydantic-settings
+    #   qdrant-client
+    #   replicate
+    #   scrapegraph-py
+    #   weaviate-client
 pydantic-core==2.27.2
-    # via pydantic
+    # via
+    #   cohere
+    #   instructor
+    #   pydantic
+pydantic-settings==2.7.1
+    # via langchain-community
 pydub==0.25.1
     # via
     #   ai-gradio
     #   gradio
-pyee==13.0.0
+    #   openai-gradio
+pyee==12.1.1
     # via aiortc
 pygments==2.19.1
-    # via rich
+    # via
+    #   ipython
+    #   rich
 pyjwt==2.10.1
-    # via twilio
-pylibsrtp==0.11.0
+    # via
+    #   auth0-python
+    #   twilio
+pylance==0.20.0
+    # via lancedb
+pylibsrtp==0.10.0
     # via aiortc
-pyopenssl==25.0.0
+pyopenssl==24.3.0
     # via aiortc
+pyparsing==3.2.1
+    # via httplib2
+pypdf==5.1.0
+    # via embedchain
+pypdfium2==4.30.1
+    # via pdfplumber
+pypika==0.48.9
+    # via chromadb
+pyproject-hooks==1.2.0
+    # via build
+pyright==1.1.391
+    # via crewai-tools
+pysbd==0.3.4
+    # via embedchain
+pysocks==1.7.1
+    # via urllib3
+pytest==8.3.4
+    # via crewai-tools
 python-dateutil==2.9.0.post0
-    # via pandas
+    # via
+    #   e2b
+    #   google-cloud-bigquery
+    #   kubernetes
+    #   mistralai
+    #   pandas
+    #   posthog
 python-dotenv==1.0.1
-    # via ai-gradio
+    # via
+    #   anychat (pyproject.toml)
+    #   ai-gradio
+    #   crewai
+    #   embedchain
+    #   litellm
+    #   openai-gradio
+    #   pydantic-settings
+    #   scrapegraph-py
+    #   smolagents
+    #   uvicorn
 python-multipart==0.0.20
     # via gradio
-pytz==2025.1
-    # via pandas
+pytube==15.0.0
+    # via crewai-tools
+pytz==2024.2
+    # via
+    #   mem0ai
+    #   pandas
+pyvips==2.2.3
+    # via ai-gradio
+pyvips-binary==8.16.0
+    # via ai-gradio
+pyvis==0.3.2
+    # via crewai
 pyyaml==6.0.2
     # via
     #   accelerate
+    #   chromadb
     #   gradio
     #   huggingface-hub
+    #   kubernetes
+    #   langchain
+    #   langchain-community
+    #   langchain-core
+    #   transformers
+    #   uvicorn
+qdrant-client==1.12.2
+    # via mem0ai
+referencing==0.35.1
+    # via
+    #   jsonschema
+    #   jsonschema-specifications
+regex==2024.11.6
+    # via
+    #   crewai
+    #   tiktoken
+    #   transformers
+replicate==1.0.4
+    # via replicate-gradio
+replicate-gradio @ git+https://github.com/AK391/replicate-gradio.git@691c397515f5b58cec99b38d28830d31879b8d11
+    # via anychat (pyproject.toml)
 requests==2.32.3
     # via
+    #   ai-gradio
+    #   auth0-python
+    #   cohere
+    #   crewai-tools
+    #   docker
+    #   google-api-core
+    #   google-cloud-bigquery
+    #   google-cloud-storage
+    #   google-genai
+    #   gptcache
     #   huggingface-hub
+    #   instructor
+    #   kubernetes
+    #   langchain
+    #   langchain-community
+    #   langsmith
+    #   opentelemetry-exporter-otlp-proto-http
     #   pooch
+    #   posthog
+    #   requests-oauthlib
+    #   requests-toolbelt
+    #   scrapegraph-py
+    #   serpapi
+    #   smolagents
+    #   spider-client
+    #   tavily-python
+    #   tiktoken
+    #   transformers
     #   twilio
+requests-oauthlib==2.0.0
+    # via kubernetes
+requests-toolbelt==1.0.0
+    # via langsmith
 rich==13.9.4
-    # via typer
-ruff==0.11.2
+    # via
+    #   chromadb
+    #   embedchain
+    #   instructor
+    #   smolagents
+    #   typer
+rpds-py==0.22.3
+    # via
+    #   jsonschema
+    #   referencing
+rsa==4.9
+    # via google-auth
+ruff==0.9.1
     # via gradio
 safehttpx==0.1.6
     # via gradio
-safetensors==0.5.3
-    # via accelerate
+safetensors==0.5.2
+    # via
+    #   accelerate
+    #   transformers
+sambanova-gradio==0.1.9
+    # via anychat (pyproject.toml)
+schema==0.7.7
+    # via embedchain
 scikit-learn==1.6.1
     # via librosa
-scipy==1.15.2
+scipy==1.15.1
     # via
     #   bitsandbytes
     #   librosa
     #   scikit-learn
+scrapegraph-py==1.9.0
+    # via crewai-tools
+selenium==4.27.1
+    # via crewai-tools
 semantic-version==2.10.0
     # via gradio
+serpapi==0.1.5
+    # via crewai-tools
+setuptools==75.8.0
+    # via grpcio-tools
+shapely==2.0.6
+    # via google-cloud-aiplatform
 shellingham==1.5.4
     # via typer
 six==1.17.0
-    # via python-dateutil
+    # via
+    #   kubernetes
+    #   markdownify
+    #   posthog
+    #   python-dateutil
+smolagents==1.2.2
+    # via ai-gradio
 sniffio==1.3.1
-    # via anyio
-soundfile==0.13.1
+    # via
+    #   anthropic
+    #   anyio
+    #   cerebras-cloud-sdk
+    #   groq
+    #   httpx
+    #   lumaai
+    #   openai
+    #   trio
+sortedcontainers==2.4.0
+    # via trio
+soundfile==0.13.0
     # via librosa
+soupsieve==2.6
+    # via beautifulsoup4
 soxr==0.5.0.post1
     # via librosa
-starlette==0.46.1
+spider-client==0.1.25
+    # via crewai-tools
+sqlalchemy==2.0.37
+    # via
+    #   alembic
+    #   embedchain
+    #   langchain
+    #   langchain-community
+    #   mem0ai
+stack-data==0.6.3
+    # via ipython
+starlette==0.41.3
     # via
     #   fastapi
     #   gradio
-sympy==1.13.1
+sympy==1.13.3
     # via
     #   onnxruntime
     #   torch
-threadpoolctl==3.6.0
+tabulate==0.9.0
+    # via langchain-cohere
+tavily-python==0.5.0
+    # via ai-gradio
+tenacity==9.0.0
+    # via
+    #   chromadb
+    #   instructor
+    #   langchain
+    #   langchain-community
+    #   langchain-core
+    #   spider-client
+threadpoolctl==3.5.0
     # via scikit-learn
+tiktoken==0.7.0
+    # via
+    #   embedchain
+    #   langchain-openai
+    #   litellm
+    #   tavily-python
+together-gradio==0.0.1
+    # via anychat (pyproject.toml)
+tokenizers==0.20.3
+    # via
+    #   chromadb
+    #   cohere
+    #   litellm
+    #   transformers
+tomli==2.2.1
+    # via
+    #   build
+    #   crewai
+    #   pytest
+tomli-w==1.1.0
+    # via crewai
 tomlkit==0.13.2
     # via gradio
-torch==2.6.0
+torch==2.4.1
     # via
     #   accelerate
     #   ai-gradio
-tqdm==4.67.1
-    # via huggingface-hub
-twilio==9.5.1
+    #   torchvision
+torchvision==0.19.1
     # via ai-gradio
-typer==0.15.2
-    # via gradio
+tqdm==4.67.1
+    # via
+    #   chromadb
+    #   google-generativeai
+    #   huggingface-hub
+    #   lancedb
+    #   openai
+    #   transformers
+traitlets==5.14.3
+    # via
+    #   ipython
+    #   matplotlib-inline
+transformers==4.46.3
+    # via
+    #   ai-gradio
+    #   smolagents
+trio==0.28.0
+    # via
+    #   selenium
+    #   trio-websocket
+trio-websocket==0.11.1
+    # via selenium
+twilio==9.4.2
+    # via
+    #   anychat (pyproject.toml)
+    #   ai-gradio
+    #   gemini-gradio
+    #   openai-gradio
+typer==0.15.1
+    # via
+    #   chromadb
+    #   gradio
+    #   instructor
+types-requests==2.32.0.20241016
+    # via cohere
 typing-extensions==4.12.2
     # via
+    #   alembic
+    #   anthropic
     #   anyio
+    #   asgiref
+    #   cerebras-cloud-sdk
+    #   chromadb
+    #   cohere
+    #   e2b
     #   fastapi
+    #   google-cloud-aiplatform
+    #   google-generativeai
     #   gradio
     #   gradio-client
+    #   groq
     #   huggingface-hub
+    #   ipython
+    #   langchain-core
     #   librosa
+    #   lumaai
     #   multidict
+    #   openai
+    #   opentelemetry-sdk
     #   pydantic
     #   pydantic-core
     #   pyee
-    #   pyopenssl
+    #   pypdf
+    #   pyright
+    #   replicate
     #   rich
+    #   selenium
+    #   sqlalchemy
     #   torch
     #   typer
+    #   typing-inspect
     #   uvicorn
-tzdata==2025.2
+typing-inspect==0.9.0
+    # via
+    #   dataclasses-json
+    #   mistralai
+tzdata==2024.2
     # via pandas
+uritemplate==4.1.1
+    # via google-api-python-client
 urllib3==2.3.0
-    # via requests
+    # via
+    #   auth0-python
+    #   docker
+    #   kubernetes
+    #   qdrant-client
+    #   requests
+    #   selenium
+    #   types-requests
+uv==0.5.17
+    # via crewai
 uvicorn==0.34.0
-    # via gradio
-websockets==15.0.1
     # via
+    #   chromadb
+    #   gradio
+uvloop==0.21.0
+    # via uvicorn
+validators==0.34.0
+    # via weaviate-client
+watchfiles==1.0.4
+    # via uvicorn
+wcwidth==0.2.13
+    # via prompt-toolkit
+weaviate-client==4.10.2
+    # via crewai-tools
+websocket-client==1.8.0
+    # via
+    #   kubernetes
+    #   selenium
+websockets==14.1
+    # via
+    #   anychat (pyproject.toml)
     #   ai-gradio
+    #   gemini-gradio
+    #   google-genai
     #   gradio-client
+    #   uvicorn
+wrapt==1.17.1
+    # via
+    #   deprecated
+    #   opentelemetry-instrumentation
+wsproto==1.2.0
+    # via
+    #   httpx-ws
+    #   trio-websocket
+xai-gradio==0.0.2
+    # via anychat (pyproject.toml)
 yarl==1.18.3
     # via aiohttp
+zipp==3.21.0
+    # via importlib-metadata