feat: switch to Fireworks AI API with Kimi K2.5 model
Browse files- README.md +2 -3
- app.py +53 -34
- requirements.txt +1 -1
README.md
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@@ -27,6 +27,5 @@ Set the following environment variables in your Space settings:
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| Variable | Description | Default |
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|----------|-------------|---------|
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| `OPENAI_MODEL` | Model to use | `anthropic/claude-sonnet-4` |
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| Variable | Description | Default |
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|----------|-------------|---------|
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| `FIREWORKS_API_KEY` | Fireworks AI API key | (required) |
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| `FIREWORKS_MODEL` | Model to use | `accounts/fireworks/models/kimi-k2p5` |
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app.py
CHANGED
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@@ -2,11 +2,12 @@
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Hermes Agent - Data Analysis Demo for Hugging Face Spaces.
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Provides a Gradio web UI with:
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1. AI Chat tab - converse with
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2. Data Analysis tab - upload CSV/JSON, ask questions, get charts & stats
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"""
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import io
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import os
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import re
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import uuid
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@@ -18,14 +19,14 @@ import matplotlib
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matplotlib.use("Agg")
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import matplotlib.pyplot as plt
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import plotly.express as px
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-
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# ---------------------------------------------------------------------------
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# Configuration
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# ---------------------------------------------------------------------------
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MODEL = os.getenv("
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SYSTEM_PROMPT = """You are Hermes, an expert data analyst AI assistant built by Nous Research.
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You help users analyze data, create visualizations, and extract insights.
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@@ -63,37 +64,59 @@ Respond with:
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- Uses plt.close() after saving"""
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def
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"""
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# ---------------------------------------------------------------------------
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# Chat Tab
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# ---------------------------------------------------------------------------
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def chat_respond(message: str, history: list[dict], session_id: str):
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"""Stream a chat response from
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if not
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yield "Please set the `
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return
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client = get_client()
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messages = [{"role": "system", "content": SYSTEM_PROMPT}]
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for entry in history:
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messages.append({"role": entry["role"], "content": entry["content"]})
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messages.append({"role": "user", "content": message})
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try:
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-
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messages=messages,
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stream=True,
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max_tokens=4096,
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extra_headers={"X-Hermes-Session-Id": session_id},
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)
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partial = ""
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for
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if delta:
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partial += delta
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yield partial
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file, question: str, history: list[dict]
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) -> tuple[list[dict], str, str | None, str]:
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"""Main analysis pipeline: upload data, ask question, get results."""
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if not
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msg = "Please set the `
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return history + [{"role": "assistant", "content": msg}], "", None, ""
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df, summary_md = load_data(file)
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question=question,
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)
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client = get_client()
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messages = [{"role": "system", "content": SYSTEM_PROMPT}]
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for entry in history:
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messages.append({"role": entry["role"], "content": entry["content"]})
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messages.append({"role": "user", "content": prompt})
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try:
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)
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answer = response.choices[0].message.content or ""
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except Exception as e:
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answer = f"API Error: {e}"
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return (
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@@ -373,9 +393,8 @@ Set these environment variables in your Space settings:
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| Variable | Description |
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|----------|-------------|
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-
| `
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| `
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| `OPENAI_MODEL` | Model name (default: anthropic/claude-sonnet-4) |
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### Links
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- [GitHub Repository](https://github.com/NousResearch/hermes-agent)
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Hermes Agent - Data Analysis Demo for Hugging Face Spaces.
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Provides a Gradio web UI with:
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1. AI Chat tab - converse with Kimi K2.5 via Fireworks AI
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2. Data Analysis tab - upload CSV/JSON, ask questions, get charts & stats
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"""
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import io
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import json
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import os
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import re
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import uuid
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matplotlib.use("Agg")
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import matplotlib.pyplot as plt
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import plotly.express as px
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import requests as http_requests
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# ---------------------------------------------------------------------------
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# Configuration - Fireworks AI with Kimi K2.5
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# ---------------------------------------------------------------------------
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FIREWORKS_API_KEY = os.getenv("FIREWORKS_API_KEY", "")
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FIREWORKS_URL = "https://api.fireworks.ai/inference/v1/chat/completions"
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MODEL = os.getenv("FIREWORKS_MODEL", "accounts/fireworks/models/kimi-k2p5")
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SYSTEM_PROMPT = """You are Hermes, an expert data analyst AI assistant built by Nous Research.
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You help users analyze data, create visualizations, and extract insights.
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- Uses plt.close() after saving"""
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def fireworks_chat(messages: list[dict], stream: bool = False):
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"""Call Fireworks AI API with the given messages."""
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headers = {
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"Accept": "application/json",
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"Content-Type": "application/json",
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"Authorization": f"Bearer {FIREWORKS_API_KEY}",
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}
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payload = {
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"model": MODEL,
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"max_tokens": 4096,
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"top_p": 1,
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"top_k": 40,
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"presence_penalty": 0,
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"frequency_penalty": 0,
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"temperature": 0.6,
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"messages": messages,
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"stream": stream,
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}
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return http_requests.post(
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FIREWORKS_URL,
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headers=headers,
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json=payload,
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stream=stream,
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timeout=120,
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)
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# ---------------------------------------------------------------------------
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# Chat Tab
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# ---------------------------------------------------------------------------
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def chat_respond(message: str, history: list[dict], session_id: str):
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"""Stream a chat response from Fireworks AI (Kimi K2.5)."""
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if not FIREWORKS_API_KEY:
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yield "Please set the `FIREWORKS_API_KEY` environment variable in your Space settings."
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return
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messages = [{"role": "system", "content": SYSTEM_PROMPT}]
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for entry in history:
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messages.append({"role": entry["role"], "content": entry["content"]})
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messages.append({"role": "user", "content": message})
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try:
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resp = fireworks_chat(messages, stream=True)
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resp.raise_for_status()
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partial = ""
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for line in resp.iter_lines(decode_unicode=True):
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if not line or not line.startswith("data: "):
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continue
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data = line[6:]
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if data.strip() == "[DONE]":
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break
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chunk = json.loads(data)
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delta = chunk.get("choices", [{}])[0].get("delta", {}).get("content", "")
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if delta:
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partial += delta
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yield partial
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file, question: str, history: list[dict]
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) -> tuple[list[dict], str, str | None, str]:
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"""Main analysis pipeline: upload data, ask question, get results."""
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if not FIREWORKS_API_KEY:
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msg = "Please set the `FIREWORKS_API_KEY` environment variable."
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return history + [{"role": "assistant", "content": msg}], "", None, ""
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df, summary_md = load_data(file)
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question=question,
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)
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messages = [{"role": "system", "content": SYSTEM_PROMPT}]
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for entry in history:
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messages.append({"role": entry["role"], "content": entry["content"]})
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messages.append({"role": "user", "content": prompt})
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try:
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resp = fireworks_chat(messages, stream=False)
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resp.raise_for_status()
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result = resp.json()
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answer = result["choices"][0]["message"]["content"] or ""
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except Exception as e:
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answer = f"API Error: {e}"
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return (
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| Variable | Description |
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|----------|-------------|
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| `FIREWORKS_API_KEY` | Your Fireworks AI API key |
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| `FIREWORKS_MODEL` | Model name (default: accounts/fireworks/models/kimi-k2p5) |
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### Links
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- [GitHub Repository](https://github.com/NousResearch/hermes-agent)
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requirements.txt
CHANGED
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@@ -1,5 +1,5 @@
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gradio>=5.0,<6
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-
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pandas>=2.0,<3
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matplotlib>=3.7,<4
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plotly>=5.18,<6
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gradio>=5.0,<6
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requests>=2.31,<3
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pandas>=2.0,<3
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matplotlib>=3.7,<4
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plotly>=5.18,<6
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