Spaces:
Configuration error
Configuration error
Kian Kyars
commited on
Commit
·
859d9d2
1
Parent(s):
776bdaf
Remove main.py, update pyproject.toml and uv.lock for sync with Space
Browse files
app.py
CHANGED
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@@ -1,7 +1,17 @@
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import gradio as gr
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import os
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from transformers import AutoModelForCausalLM, AutoTokenizer
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ALL_MODELS = [
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"meta-llama/Llama-2-70b-hf",
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"mistralai/Mixtral-8x7B-v0.1",
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@@ -10,16 +20,6 @@ ALL_MODELS = [
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]
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def debate_agent(topic, agent_a_model, agent_b_model, judge_model):
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"""
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Two LLMs debate a topic, a third LLM judges and picks a winner.
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Args:
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topic: The debate topic/question
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agent_a_model: Model for Agent A
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agent_b_model: Model for Agent B
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judge_model: Model for Judge
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Returns:
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Arguments from A and B, judge summary, and winner
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"""
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if len({agent_a_model, agent_b_model, judge_model}) < 3:
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return {"error": "Please select three different models."}
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# Agent A
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@@ -70,16 +70,23 @@ def debate_agent(topic, agent_a_model, agent_b_model, judge_model):
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"Judge": judge_summary
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}
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-
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gr.Dropdown(ALL_MODELS, label="Judge Model", value=ALL_MODELS[2])
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],
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outputs=gr.JSON(label="Debate Results"),
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title="Agentic Demo: LLM Debate & Judge"
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)
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demo.
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import modal
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import gradio as gr
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import os
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from transformers import AutoModelForCausalLM, AutoTokenizer
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image = modal.Image.debian_slim().pip_install(
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"torch",
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"transformers",
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"accelerate",
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"gradio"
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)
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app = modal.App("agentic-demo")
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ALL_MODELS = [
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"meta-llama/Llama-2-70b-hf",
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"mistralai/Mixtral-8x7B-v0.1",
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]
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def debate_agent(topic, agent_a_model, agent_b_model, judge_model):
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if len({agent_a_model, agent_b_model, judge_model}) < 3:
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return {"error": "Please select three different models."}
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# Agent A
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"Judge": judge_summary
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}
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@app.function(gpu="B200")
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@modal.asgi_app()
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def fastapi_app():
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import gradio as gr
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from fastapi import FastAPI
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from gradio.routes import mount_gradio_app
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demo = gr.Interface(
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fn=debate_agent,
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inputs=[
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gr.Textbox(label="Debate Topic"),
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gr.Dropdown(ALL_MODELS, label="Agent A Model", value=ALL_MODELS[0]),
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gr.Dropdown(ALL_MODELS, label="Agent B Model", value=ALL_MODELS[1]),
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gr.Dropdown(ALL_MODELS, label="Judge Model", value=ALL_MODELS[2])
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],
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outputs=gr.JSON(label="Debate Results"),
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title="Agentic Demo: LLM Debate & Judge"
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)
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demo.queue(max_size=5)
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return mount_gradio_app(app=FastAPI(), blocks=demo, path="/")
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main.py
DELETED
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@@ -1,77 +0,0 @@
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import modal
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import gradio as gr
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import os
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import json
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from transformers import AutoModelForCausalLM, AutoTokenizer
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image = modal.Image.debian_slim().pip_install(
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"torch",
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"transformers",
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"accelerate",
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"gradio"
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)
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stub = modal.Stub("MCP-Minimal", image=image)
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ALL_MODELS = [
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"meta-llama/Llama-2-70b-hf",
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"mistralai/Mixtral-8x7B-v0.1",
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"Qwen/Qwen-72B",
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"mistralai/Mistral-7B-v0.1"
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]
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def load_model_and_tokenizer(model_id):
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tokenizer = AutoTokenizer.from_pretrained(model_id, token=os.environ["HUGGINGFACE_API_KEY"])
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model = AutoModelForCausalLM.from_pretrained(
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model_id,
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token=os.environ["HUGGINGFACE_API_KEY"],
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load_in_4bit=True,
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device_map="auto"
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)
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return model, tokenizer
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@stub.function(gpu="B200")
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def get_consensus(query: str, model_a: str, model_b: str) -> dict:
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responses = {}
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for model_id in [model_a, model_b]:
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model, tokenizer = load_model_and_tokenizer(model_id)
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prompt = f"Answer as an expert: {query}"
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inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
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outputs = model.generate(**inputs, max_new_tokens=200)
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response = tokenizer.decode(outputs[0], skip_special_tokens=True)
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responses[model_id] = response
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consensus = max(responses.values(), key=len)
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return {"consensus": consensus, "model_responses": responses}
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@stub.function()
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def mcp_tool():
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return {
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"name": "expert_consensus",
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"description": "Get expert answers from 2 top LLMs and a consensus.",
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"parameters": {
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"query": {"type": "string", "description": "Question to analyze"},
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"model_a": {"type": "string", "description": "First model to use"},
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"model_b": {"type": "string", "description": "Second model to use"}
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}
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}
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def gradio_ui():
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def ask(query, model_a, model_b):
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if model_a == model_b:
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return "Please select two different models."
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result = get_consensus.remote(query, model_a, model_b)
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return json.dumps(result, indent=2)
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gr.Interface(
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fn=ask,
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inputs=[
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gr.Textbox(label="Ask a question"),
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gr.Dropdown(ALL_MODELS, label="Model A", value=ALL_MODELS[0]),
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gr.Dropdown(ALL_MODELS, label="Model B", value=ALL_MODELS[1])
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],
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outputs=gr.Code(label="Consensus & Model Answers"),
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title="Decider MCP: Compare Two LLMs"
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).launch()
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@stub.local_entrypoint()
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def main():
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gradio_ui()
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pyproject.toml
CHANGED
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@@ -7,6 +7,7 @@ requires-python = ">=3.12"
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dependencies = [
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"accelerate>=0.27.0",
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"bitsandbytes==0.41.1",
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"modal>=0.57.0",
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"torch>=2.2.0",
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"transformers>=4.37.0",
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dependencies = [
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"accelerate>=0.27.0",
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"bitsandbytes==0.41.1",
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"gradio>=5.33.1",
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"modal>=0.57.0",
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"torch>=2.2.0",
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"transformers>=4.37.0",
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uv.lock
CHANGED
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@@ -1,5 +1,9 @@
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version = 1
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requires-python = ">=3.12"
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[[package]]
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name = "accelerate"
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{ url = "https://files.pythonhosted.org/packages/f8/bb/be8146c196ad6e4dec78385d91e92591f8a433576c4e04c342a636fcd811/accelerate-1.7.0-py3-none-any.whl", hash = "sha256:cf57165cca28769c6cf2650812371c81b18e05743dfa3c748524b1bb4f2b272f", size = 362095 },
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]
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[[package]]
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name = "aiohappyeyeballs"
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version = "2.6.1"
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{ url = "https://files.pythonhosted.org/packages/ec/6a/bc7e17a3e87a2985d3e8f4da4cd0f481060eb78fb08596c42be62c90a4d9/aiosignal-1.3.2-py2.py3-none-any.whl", hash = "sha256:45cde58e409a301715980c2b01d0c28bdde3770d8290b5eb2173759d9acb31a5", size = 7597 },
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]
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[[package]]
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name = "anyio"
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version = "4.9.0"
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{ url = "https://files.pythonhosted.org/packages/77/06/bb80f5f86020c4551da315d78b3ab75e8228f89f0162f2c3a819e407941a/attrs-25.3.0-py3-none-any.whl", hash = "sha256:427318ce031701fea540783410126f03899a97ffc6f61596ad581ac2e40e3bc3", size = 63815 },
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]
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[[package]]
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name = "bitsandbytes"
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version = "0.41.1"
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@@ -188,6 +250,29 @@ wheels = [
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{ url = "https://files.pythonhosted.org/packages/d1/d6/3965ed04c63042e047cb6a3e6ed1a63a35087b6a609aa3a15ed8ac56c221/colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6", size = 25335 },
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]
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[[package]]
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name = "filelock"
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version = "3.18.0"
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@@ -266,6 +351,72 @@ wheels = [
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{ url = "https://files.pythonhosted.org/packages/bb/61/78c7b3851add1481b048b5fdc29067397a1784e2910592bc81bb3f608635/fsspec-2025.5.1-py3-none-any.whl", hash = "sha256:24d3a2e663d5fc735ab256263c4075f374a174c3410c0b25e5bd1970bceaa462", size = 199052 },
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]
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[[package]]
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name = "grpclib"
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version = "0.4.7"
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@@ -276,6 +427,15 @@ dependencies = [
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]
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sdist = { url = "https://files.pythonhosted.org/packages/79/b9/55936e462a5925190d7427e880b3033601d1effd13809b483d13a926061a/grpclib-0.4.7.tar.gz", hash = "sha256:2988ef57c02b22b7a2e8e961792c41ccf97efc2ace91ae7a5b0de03c363823c3", size = 61254 }
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[[package]]
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name = "h2"
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version = "4.2.0"
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@@ -313,6 +473,34 @@ wheels = [
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{ url = "https://files.pythonhosted.org/packages/07/c6/80c95b1b2b94682a72cbdbfb85b81ae2daffa4291fbfa1b1464502ede10d/hpack-4.1.0-py3-none-any.whl", hash = "sha256:157ac792668d995c657d93111f46b4535ed114f0c9c8d672271bbec7eae1b496", size = 34357 },
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]
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[[package]]
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name = "huggingface-hub"
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version = "0.32.4"
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@@ -419,6 +607,7 @@ source = { virtual = "." }
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dependencies = [
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{ name = "accelerate" },
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{ name = "bitsandbytes" },
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{ name = "modal" },
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{ name = "torch" },
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{ name = "transformers" },
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requires-dist = [
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{ name = "accelerate", specifier = ">=0.27.0" },
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{ name = "bitsandbytes", specifier = "==0.41.1" },
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{ name = "modal", specifier = ">=0.57.0" },
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{ name = "torch", specifier = ">=2.2.0" },
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{ name = "transformers", specifier = ">=4.37.0" },
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@@ -736,6 +926,44 @@ wheels = [
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{ url = "https://files.pythonhosted.org/packages/9e/4e/0d0c945463719429b7bd21dece907ad0bde437a2ff12b9b12fee94722ab0/nvidia_nvtx_cu12-12.6.77-py3-none-manylinux2014_x86_64.whl", hash = "sha256:6574241a3ec5fdc9334353ab8c479fe75841dbe8f4532a8fc97ce63503330ba1", size = 89265 },
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[[package]]
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name = "packaging"
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version = "25.0"
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@@ -745,6 +973,81 @@ wheels = [
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{ url = "https://files.pythonhosted.org/packages/20/12/38679034af332785aac8774540895e234f4d07f7545804097de4b666afd8/packaging-25.0-py3-none-any.whl", hash = "sha256:29572ef2b1f17581046b3a2227d5c611fb25ec70ca1ba8554b24b0e69331a484", size = 66469 },
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[[package]]
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name = "propcache"
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| 750 |
version = "0.3.1"
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@@ -831,6 +1134,72 @@ wheels = [
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| 831 |
{ url = "https://files.pythonhosted.org/packages/50/1b/6921afe68c74868b4c9fa424dad3be35b095e16687989ebbb50ce4fceb7c/psutil-7.0.0-cp37-abi3-win_amd64.whl", hash = "sha256:4cf3d4eb1aa9b348dec30105c55cd9b7d4629285735a102beb4441e38db90553", size = 244885 },
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| 834 |
[[package]]
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| 835 |
name = "pygments"
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| 836 |
version = "2.19.1"
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|
@@ -840,6 +1209,36 @@ wheels = [
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| 840 |
{ url = "https://files.pythonhosted.org/packages/8a/0b/9fcc47d19c48b59121088dd6da2488a49d5f72dacf8262e2790a1d2c7d15/pygments-2.19.1-py3-none-any.whl", hash = "sha256:9ea1544ad55cecf4b8242fab6dd35a93bbce657034b0611ee383099054ab6d8c", size = 1225293 },
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| 843 |
[[package]]
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| 844 |
name = "pyyaml"
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| 845 |
version = "6.0.2"
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|
@@ -932,6 +1331,43 @@ wheels = [
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| 932 |
{ url = "https://files.pythonhosted.org/packages/0d/9b/63f4c7ebc259242c89b3acafdb37b41d1185c07ff0011164674e9076b491/rich-14.0.0-py3-none-any.whl", hash = "sha256:1c9491e1951aac09caffd42f448ee3d04e58923ffe14993f6e83068dc395d7e0", size = 243229 },
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| 935 |
[[package]]
|
| 936 |
name = "safetensors"
|
| 937 |
version = "0.5.3"
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|
@@ -954,6 +1390,15 @@ wheels = [
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|
| 954 |
{ url = "https://files.pythonhosted.org/packages/69/e2/b011c38e5394c4c18fb5500778a55ec43ad6106126e74723ffaee246f56e/safetensors-0.5.3-cp38-abi3-win_amd64.whl", hash = "sha256:836cbbc320b47e80acd40e44c8682db0e8ad7123209f69b093def21ec7cafd11", size = 308878 },
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| 955 |
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| 957 |
[[package]]
|
| 958 |
name = "setuptools"
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| 959 |
version = "80.9.0"
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|
@@ -984,6 +1429,15 @@ wheels = [
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|
| 984 |
{ url = "https://files.pythonhosted.org/packages/1f/91/853dbf6ec096197dba9cd5fd0c836c5fc19142038b7db60ebe6332b1bab1/sigtools-4.0.1-py2.py3-none-any.whl", hash = "sha256:d216b4cf920bbab0fce636ddc429ed8463a5b533d9e1492acb45a2a1bc36ac6c", size = 76419 },
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| 985 |
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| 987 |
[[package]]
|
| 988 |
name = "sniffio"
|
| 989 |
version = "1.3.1"
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|
@@ -993,6 +1447,18 @@ wheels = [
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|
| 993 |
{ url = "https://files.pythonhosted.org/packages/e9/44/75a9c9421471a6c4805dbf2356f7c181a29c1879239abab1ea2cc8f38b40/sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2", size = 10235 },
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| 994 |
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| 996 |
[[package]]
|
| 997 |
name = "sympy"
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| 998 |
version = "1.14.0"
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|
@@ -1052,6 +1518,15 @@ wheels = [
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|
| 1052 |
{ url = "https://files.pythonhosted.org/packages/44/6f/7120676b6d73228c96e17f1f794d8ab046fc910d781c8d151120c3f1569e/toml-0.10.2-py2.py3-none-any.whl", hash = "sha256:806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b", size = 16588 },
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| 1053 |
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| 1055 |
[[package]]
|
| 1056 |
name = "torch"
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| 1057 |
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@@ -1183,6 +1658,27 @@ wheels = [
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|
| 1183 |
{ url = "https://files.pythonhosted.org/packages/69/e0/552843e0d356fbb5256d21449fa957fa4eff3bbc135a74a691ee70c7c5da/typing_extensions-4.14.0-py3-none-any.whl", hash = "sha256:a1514509136dd0b477638fc68d6a91497af5076466ad0fa6c338e44e359944af", size = 43839 },
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| 1184 |
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| 1186 |
[[package]]
|
| 1187 |
name = "urllib3"
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| 1188 |
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@@ -1192,6 +1688,19 @@ wheels = [
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|
| 1192 |
{ url = "https://files.pythonhosted.org/packages/6b/11/cc635220681e93a0183390e26485430ca2c7b5f9d33b15c74c2861cb8091/urllib3-2.4.0-py3-none-any.whl", hash = "sha256:4e16665048960a0900c702d4a66415956a584919c03361cac9f1df5c5dd7e813", size = 128680 },
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| 1193 |
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| 1195 |
[[package]]
|
| 1196 |
name = "watchfiles"
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| 1197 |
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@@ -1228,6 +1737,37 @@ wheels = [
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|
| 1228 |
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| 1230 |
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| 1231 |
[[package]]
|
| 1232 |
name = "yarl"
|
| 1233 |
version = "1.20.0"
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|
| 1 |
version = 1
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| 2 |
requires-python = ">=3.12"
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| 3 |
+
resolution-markers = [
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"python_full_version >= '3.13'",
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| 5 |
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"python_full_version < '3.13'",
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| 6 |
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| 7 |
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| 8 |
[[package]]
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| 9 |
name = "accelerate"
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| 23 |
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| 25 |
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| 26 |
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| 35 |
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