app

app.py

@@ -0,0 +1,95 @@
+import gradio as gr
+
+import difflib
+from io import BytesIO
+
+
+
+import matplotlib.pyplot as plt
+import numpy as np
+import gradio as gr
+import difflib
+
+ 
+def word_lcs(text1, text2):
+    words1 = text1.split()
+    words2 = text2.split()
+
+    m, n = len(words1), len(words2)
+
+    # Initialize a 2D array to store the length of word-level LCS
+    dp = [[0] * (n + 1) for _ in range(m + 1)]
+
+    # Fill the dp array using bottom-up dynamic programming
+    for i in range(1, m + 1):
+        for j in range(1, n + 1):
+            if words1[i - 1] == words2[j - 1]:
+                dp[i][j] = dp[i - 1][j - 1] + 1
+            else:
+                dp[i][j] = max(dp[i - 1][j], dp[i][j - 1])
+
+    # Reconstruct the word-level LCS from the dp array
+    i, j = m, n
+    word_lcs = []
+    while i > 0 and j > 0:
+        if words1[i - 1] == words2[j - 1]:
+            word_lcs.append(words1[i - 1])
+            i -= 1
+            j -= 1
+        elif dp[i - 1][j] > dp[i][j - 1]:
+            i -= 1
+        else:
+            j -= 1
+
+    # Reverse the word-level LCS to get the correct order
+    word_lcs = word_lcs[::-1]
+    result=[]
+    for word in text2.split():
+        if word in word_lcs:
+            result.append((word+" ","-"))
+            word_lcs.remove(word)
+        else:
+            result.append((word,"+"))
+        
+    #result=[(word+" ",None) for word in word_lcs]
+    
+    return result
+#定义处理函数
+
+# 定义处理函数 f
+def process(text1, text2,function):
+    # 这里替换成你的处理逻辑，生成图片的代码
+    # 示例：使用Matplotlib生成一个简单的图像
+   if function=="naive":
+        d = difflib.Differ()
+        return [
+            (token[2:], token[0] if token[0] != " " else None)
+            for token in d.compare(text1, text2)
+        ]
+   elif function=="LCS":
+       return(word_lcs(text1,text2))
+      
+
+# 创建 Gradio 界面
+iface = gr.Interface(
+    fn=process,  # 此处的 fn 将在运行时动态设置
+    inputs=[
+        gr.Textbox(label="Origin Text",value="The quick brown fox jumped over the lazy dogs.",lines=3),
+        gr.Textbox(label="Edited Text",value="The fast brown fox jumps over lazy dogs.",lines=3),
+        gr.Radio(["naive", "Largest Common Subsequence"], label="Select Function")
+    ],
+    outputs=gr.HighlightedText(
+        label="Diff",
+        combine_adjacent=True,
+        show_legend=True,
+        color_map={"+": "red", "-": "green"}),
+    theme=gr.themes.Base()
+    
+)
+
+# 设置动态函数选择
+
+# 启动 Gradio 应用
+iface.launch()
+
+