mgokg commited on
Commit
3009aec
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1 Parent(s): 5d0b046

Update app.py

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Files changed (1) hide show
  1. app.py +8 -32
app.py CHANGED
@@ -1,12 +1,11 @@
1
  import gradio as gr
2
  import requests
3
- from bs4 import BeautifulSoup
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  from urllib.parse import urljoin
5
  from datetime import datetime
6
- import json
7
- import os
8
  from IPython.display import display
9
  from IPython.display import Markdown
 
 
10
 
11
  jetzt = datetime.now()
12
  zeitstempel_str = jetzt.strftime("%Y-%m-%d")
@@ -21,31 +20,13 @@ custom_css = """
21
  color: white;
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  border: 1 px solid #383838;
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  }
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- .senden {
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- width: 300px;
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- float: right;
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- background:purple;
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- }
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- .clear-button {
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- float: right;
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- #margin-top: 10px;
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- background:purple;
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- }
34
  """
35
 
36
  def question(prompt, optimization_mode):
37
- anfrage = """
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- instruction: you are a json expert and your job is extracting information from text, generating valid json and return a json object only. do not return any text. halte dich an das vorgegebene json schema.
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- prompt: fill in the missing contact information. do not reference the json object. do not use html tags inside the json object. do not return explanaitons or any other text. return a valid json object only.
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- {
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- "Name": "",
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- "Email": "",
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- "Website": "",
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- "Phone": ""
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- }
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- """
47
  try:
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- url = "http://185.248.140.121:3001/api/search"
 
49
 
50
  payload = {
51
  "chatModel": {
@@ -70,10 +51,11 @@ def question(prompt, optimization_mode):
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  }
71
 
72
  response = requests.post(url, json=payload)
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- ergebnis = response.json().get('message')
 
74
  for i in range(1, 19):
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  ergebnis = ergebnis.replace(f"[{i}]", " ")
76
-
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  display(Markdown(ergebnis))
78
  return ergebnis
79
 
@@ -82,21 +64,15 @@ def question(prompt, optimization_mode):
82
  except Exception as e:
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  return {"error": str(e)}
84
 
85
-
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  def clear():
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  return "", "speed"
88
 
89
  # Erstelle die Gradio-Schnittstelle
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  with gr.Blocks(css=custom_css) as demo:
91
- #gr.Markdown("# Perplexica Websearch")
92
  links_output = gr.Markdown(label="Antwort", elem_id="md", value="# Perplexica Websearch")
93
  ort_input = gr.Textbox(label="Frage", placeholder="ask anything...", scale=3, value="")
94
  optimization_mode_input = gr.Dropdown(choices=["speed", "balanced"], label="Optimization Mode", value="balanced")
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- #button = gr.Button("senden", elem_classes="senden")
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- #button.click(fn=question, inputs=[ort_input, optimization_mode_input], outputs=links_output)
97
  ort_input.submit(fn=question, inputs=[ort_input, optimization_mode_input], outputs=links_output)
98
  examples = gr.Examples([["Erstelle eine Anleitung. Apache als reverse proxy installieren unter ubuntu 24.x"], ["Kontaktdaten Bürgermeister bad kissingen"], ["Kontaktdaten lachfalten bad kissingen. output format:json"]], ort_input)
99
- #clear_button = gr.Button("clear", elem_classes="clear-button")
100
- #clear_button.click(fn=clear, inputs=[], outputs=[ort_input, optimization_mode_input])
101
 
102
  demo.launch()
 
1
  import gradio as gr
2
  import requests
 
3
  from urllib.parse import urljoin
4
  from datetime import datetime
 
 
5
  from IPython.display import display
6
  from IPython.display import Markdown
7
+ import json
8
+ import os
9
 
10
  jetzt = datetime.now()
11
  zeitstempel_str = jetzt.strftime("%Y-%m-%d")
 
20
  color: white;
21
  border: 1 px solid #383838;
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  }
 
 
 
 
 
 
 
 
 
 
23
  """
24
 
25
  def question(prompt, optimization_mode):
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+
 
 
 
 
 
 
 
 
 
27
  try:
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+ # the url to the Perplexity backend (http://url.com:3001/api search/)
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+ url = secreturl
30
 
31
  payload = {
32
  "chatModel": {
 
51
  }
52
 
53
  response = requests.post(url, json=payload)
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+ ergebnis = response.json().get('message')
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+ #get rid of some disturbing numbers
56
  for i in range(1, 19):
57
  ergebnis = ergebnis.replace(f"[{i}]", " ")
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+ #this modul is sooooo cool:)
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  display(Markdown(ergebnis))
60
  return ergebnis
61
 
 
64
  except Exception as e:
65
  return {"error": str(e)}
66
 
 
67
  def clear():
68
  return "", "speed"
69
 
70
  # Erstelle die Gradio-Schnittstelle
71
  with gr.Blocks(css=custom_css) as demo:
 
72
  links_output = gr.Markdown(label="Antwort", elem_id="md", value="# Perplexica Websearch")
73
  ort_input = gr.Textbox(label="Frage", placeholder="ask anything...", scale=3, value="")
74
  optimization_mode_input = gr.Dropdown(choices=["speed", "balanced"], label="Optimization Mode", value="balanced")
 
 
75
  ort_input.submit(fn=question, inputs=[ort_input, optimization_mode_input], outputs=links_output)
76
  examples = gr.Examples([["Erstelle eine Anleitung. Apache als reverse proxy installieren unter ubuntu 24.x"], ["Kontaktdaten Bürgermeister bad kissingen"], ["Kontaktdaten lachfalten bad kissingen. output format:json"]], ort_input)
 
 
77
 
78
  demo.launch()