Add auto-csv/README.md

auto-csv/README.md

@@ -0,0 +1,35 @@
+```python
+# %%
+import os; os.system('pip install -q requests bs4 lxml pandas')
+import requests, bs4, json, pandas as pd
+
+def ollama(prompt):
+    return requests.post(
+        "https://ollama.yauk.tv/api/generate",
+        json={
+            "model": "llama3.1",
+            "format": "json",
+            "prompt": prompt,
+            "stream": False,
+            "options": {
+                "temperature": 0,
+                "num_ctx": 32768
+            }
+        }
+    ).json()['response']
+
+# %%
+url = 'https://ollama.com/library'
+response = requests.get(url)
+soup = bs4.BeautifulSoup(response.text, 'lxml')
+tags = ''.join(str(tag.prettify()) for tag in soup.find_all('li', class_='flex')[:20])
+print(tags)
+
+# %%
+result = ollama(f''' Parse the following HTML snippet and extract the information into a JSON format. Output only the JSON data, without any additional text, explanation, or formatting.
+
+HTML to analyze: {tags} ''')
+
+df = pd.DataFrame(list(json.loads(result).values())[0])
+df
+```