initial commit

README.md

@@ -1,5 +1,5 @@
 ---
-title: Gradio Chatbot
+title: New Space
 emoji: 💬
 colorFrom: yellow
 colorTo: purple

app.py

@@ -1,64 +1,36 @@
-import gradio as gr
-from huggingface_hub import InferenceClient
-
-"""
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-"""
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
-
-
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
-
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
-
-    messages.append({"role": "user", "content": message})
-
-    response = ""
-
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
-
-        response += token
-        yield response
+from difflib import Differ
 
+import gradio as gr
 
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
-demo = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
+def diff_texts(text1, text2):
+    d = Differ()
+    return [
+        (token[2:], token[0] if token[0] != " " else None)
+        for token in d.compare(text1, text2)
+    ]
+
+demo = gr.Interface(
+    diff_texts,
+    [
+        gr.Textbox(
+            label="Text 1",
+            info="Initial text",
+            lines=3,
+            value="The quick brown fox jumped over the lazy dogs.",
+        ),
+        gr.Textbox(
+            label="Text 2",
+            info="Text to compare",
+            lines=3,
+            value="The fast brown fox jumps over lazy dogs.",
         ),
     ],
+    gr.HighlightedText(
+        label="Diff",
+        combine_adjacent=True,
+        show_legend=True,
+        color_map={"+": "red", "-": "green"}),
+    theme=gr.themes.Base()
 )
-
-
 if __name__ == "__main__":
     demo.launch()

requirements.txt

@@ -1 +0,0 @@
-huggingface_hub==0.25.2