Commit
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ace7b0f
1
Parent(s):
d78af2d
Update app.py
Browse files
app.py
CHANGED
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import tkinter as tk
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from tkinter import scrolledtext
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import requests
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SECRET_TOKEN = os.getenv("SECRET_TOKEN")
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API_URL = "https://api-inference.huggingface.co/models/ahmedrachid/FinancialBERT-Sentiment-Analysis"
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headers = {"Authorization": "Bearer {SECRET_TOKEN}"}
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def query(payload):
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# output = query({
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# "inputs": "I like you. I love you",
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# })
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def get_user_input():
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user_query = user_input.get("1.0", tk.END).strip()
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output = query({"inputs": user_query})
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output_text.insert(tk.END, output)
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window = tk.Tk()
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window.title("
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user_input_label = tk.Label(window, text="Enter your
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user_input_label.pack()
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user_input = scrolledtext.ScrolledText(window, width=40, height=5, wrap=tk.WORD)
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user_input.pack()
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query_button = tk.Button(window, text="Query", command=get_user_input)
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query_button.pack()
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output_text_label = tk.Label(window, text="Output:")
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output_text_label.pack()
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output_text = scrolledtext.ScrolledText(window, width=40, height=10, wrap=tk.WORD)
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output_text.pack()
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window.mainloop()
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import os
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import matplotlib
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matplotlib.use('Agg') # Use the 'Agg' backend for non-interactive use
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import tkinter as tk
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from tkinter import scrolledtext
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import requests
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SECRET_TOKEN = os.getenv("SECRET_TOKEN")
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API_URL = "https://api-inference.huggingface.co/models/ahmedrachid/FinancialBERT-Sentiment-Analysis"
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headers = {"Authorization": f"Bearer {SECRET_TOKEN}"}
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def query(payload):
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response = requests.post(API_URL, headers=headers, json=payload)
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return response.json()
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def get_user_input():
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user_query = user_input.get("1.0", tk.END).strip()
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output = query({"inputs": user_query})
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output_text.insert(tk.END, output)
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window = tk.Tk()
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window.title("Hugging Face Sentiment Analysis")
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user_input_label = tk.Label(window, text="Enter your text:")
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user_input_label.pack()
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user_input = scrolledtext.ScrolledText(window, width=40, height=5, wrap=tk.WORD)
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user_input.pack()
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query_button = tk.Button(window, text="Analyze Sentiment", command=get_user_input)
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query_button.pack()
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output_text_label = tk.Label(window, text="Sentiment Analysis Output:")
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output_text_label.pack()
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output_text = scrolledtext.ScrolledText(window, width=40, height=10, wrap=tk.WORD)
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output_text.pack()
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window.mainloop()
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# import tkinter as tk
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# from tkinter import scrolledtext
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# import requests
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# import os
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# SECRET_TOKEN = os.getenv("SECRET_TOKEN")
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# API_URL = "https://api-inference.huggingface.co/models/ahmedrachid/FinancialBERT-Sentiment-Analysis"
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# headers = {"Authorization": "Bearer {SECRET_TOKEN}"}
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# def query(payload):
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# response = requests.post(API_URL, headers=headers, json=payload)
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# return response.json()
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# # output = query({
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# # "inputs": "I like you. I love you",
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# # })
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# def get_user_input():
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# user_query = user_input.get("1.0", tk.END).strip()
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# output_text.delete(1.0, tk.END) # Clear previous output
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# output = query({"inputs": user_query})
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# output_text.insert(tk.END, output)
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# window = tk.Tk()
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# window.title("Query Interface")
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# user_input_label = tk.Label(window, text="Enter your query:")
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# user_input_label.pack()
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# user_input = scrolledtext.ScrolledText(window, width=40, height=5, wrap=tk.WORD)
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# user_input.pack()
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# query_button = tk.Button(window, text="Query", command=get_user_input)
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# query_button.pack()
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# output_text_label = tk.Label(window, text="Output:")
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# output_text_label.pack()
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# output_text = scrolledtext.ScrolledText(window, width=40, height=10, wrap=tk.WORD)
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# output_text.pack()
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# window.mainloop()
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