fix: switch to public Nous-Hermes model for tokenizer compatibility

app.py

@@ -1,18 +1,23 @@
+# app.py — Financial News + Stock Analyzer with Nous-Hermes-2 (Mistral)
+
 import requests
 import pandas as pd
 from bs4 import BeautifulSoup
 import gradio as gr
 from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
 
-model_id = "TheBloke/Mistral-7B-Instruct-v0.2-GGUF"
+# ✅ Public, compatible model
+model_id = "NousResearch/Nous-Hermes-2-Mistral-7B-DPO"
 tokenizer = AutoTokenizer.from_pretrained(model_id)
-model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto", torch_dtype="auto")
+model = AutoModelForCausalLM.from_pretrained(model_id)
+
 llm_pipeline = pipeline("text-generation", model=model, tokenizer=tokenizer, max_new_tokens=512)
 
 def run_llm(prompt: str):
     result = llm_pipeline(prompt)[0]["generated_text"]
     return result.replace(prompt, "")
 
+# ----------- Financial News Fetcher -----------
 def fetch_financial_news(query="markets", max_articles=3):
     url = f"https://www.google.com/search?q={query}+site:reuters.com&tbm=nws"
     headers = {"User-Agent": "Mozilla/5.0"}
@@ -25,6 +30,7 @@ def fetch_financial_news(query="markets", max_articles=3):
             links.append(href.split("&")[0].replace("/url?q=", ""))
     return links
 
+# ----------- News Article Summarizer -----------
 def summarize_news_article(url):
     try:
         r = requests.get(url, headers={"User-Agent": "Mozilla/5.0"})
@@ -36,6 +42,7 @@ def summarize_news_article(url):
     except Exception as e:
         return f"Failed to summarize article: {e}"
 
+# ----------- Stock Data Analyzer -----------
 def analyze_stock_data(symbol="AAPL"):
     try:
         url = f"https://query1.finance.yahoo.com/v7/finance/download/{symbol}?period1=1682899200&period2=1685577600&interval=1d&events=history"
@@ -48,6 +55,7 @@ def analyze_stock_data(symbol="AAPL"):
     except Exception as e:
         return f"Failed to fetch stock data: {e}"
 
+# ----------- Gradio App Interface -----------
 def analyze(query, stock_symbol):
     output = ""
     output += "📈 Fetching Financial News...\n"
@@ -66,6 +74,6 @@ gr.Interface(
         gr.Textbox(label="Stock Symbol", value="AAPL")
     ],
     outputs=gr.Textbox(label="Financial Summary", lines=20),
-    title="🧠 Financial Analyst Agent (LLaMA 3.1 + LangChain Style)",
-    description="Summarizes financial news and stock data using LLaMA 3.1 + LangChain-style prompts."
+    title="🧠 Fingraph — Financial Analyst Agent",
+    description="Summarizes news + stock trends using Nous-Hermes-2 (Mistral) and LLM insights."
 ).launch()

requirements.txt

@@ -3,5 +3,4 @@ torch
 pandas
 beautifulsoup4
 requests
-gradio
-tiktoken
+gradio