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69edce9 d536a5f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 | import streamlit as st
from wordcloud import WordCloud
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from sklearn.feature_extraction.text import ENGLISH_STOP_WORDS
import networkx as nx
import numpy as np
from huggingface_hub import InferenceClient
client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
def format_prompt(message, history):
prompt = "<s>"
for user_prompt, bot_response in history:
prompt += f"[INST] {user_prompt} [/INST]"
prompt += f" {bot_response}</s> "
prompt += f"[INST] {message} [/INST]"
return prompt
def generate_wordcloud(text):
wordcloud = WordCloud(stopwords=ENGLISH_STOP_WORDS, background_color='white', width=800, height=400, max_words=20).generate(text)
fig = plt.figure(figsize=(10, 5))
ax = fig.add_subplot(111, projection='3d')
frequencies = wordcloud.words_
words = list(frequencies.keys())
sizes = list(frequencies.values())
colors = [hash(word) % 100 for word in words]
ax.scatter(words, sizes, colors, marker='o', s=sizes, depthshade=True)
ax.set_xlabel('Palabra')
ax.set_ylabel('Frecuencia')
ax.set_zlabel('Color')
ax.set_title('Nube de Palabras en 3D')
# Conectar palabras con líneas
G = nx.Graph()
for i, word in enumerate(words):
G.add_node(word)
for j in range(i + 1, len(words)):
G.add_edge(word, words[j])
pos = {word: (sizes[i], colors[i]) for i, word in enumerate(words)}
nx.draw(G, pos, ax=ax, with_labels=True, font_weight='bold', node_size=sizes, node_color=colors, font_size=8, edge_color='gray', alpha=0.5)
st.pyplot(fig)
def main():
st.title('Generador de Nube de Palabras en 3D')
input_text = st.text_area('Ingrese el texto:', height=200)
if st.button('Generar Nube de Palabras'):
generate_wordcloud(input_text)
if __name__ == '__main__':
main()
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